| Trait Information | |
| Identifier | MONDO_0003240 |
| Description | A disease involving the thyroid gland. | Trait category |
Other disease
|
| Synonyms |
9 synonyms
|
| Child trait(s) | 15 child traits |
| Polygenic Score ID & Name | PGS Publication ID (PGP) | Reported Trait | Mapped Trait(s) (Ontology) | Number of Variants |
Ancestry distribution GWAS Dev Eval |
Scoring File (FTP Link) |
|---|---|---|---|---|---|---|
| PGS000087 (CC_Thyroid) |
PGP000050 | Graff RE et al. Nat Commun (2021) |
Thyroid cancer | thyroid gland carcinoma | 12 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000087/ScoringFiles/PGS000087.txt.gz |
| PGS000162 (cGRS_Thyroid) |
PGP000075 | Shi Z et al. Cancer Med (2019) |
Thyroid cancer | thyroid gland carcinoma | 6 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000162/ScoringFiles/PGS000162.txt.gz |
| PGS000207 (TC10_Ohio) |
PGP000085 | Liyanarachchi S et al. Proc Natl Acad Sci U S A (2020) |
Thyroid cancer | thyroid gland carcinoma | 10 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000207/ScoringFiles/PGS000207.txt.gz |
| PGS000208 (TC10_Iceland) |
PGP000085 | Liyanarachchi S et al. Proc Natl Acad Sci U S A (2020) |
Thyroid cancer | thyroid gland carcinoma | 10 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000208/ScoringFiles/PGS000208.txt.gz |
| PGS000209 (TC10_UKB) |
PGP000085 | Liyanarachchi S et al. Proc Natl Acad Sci U S A (2020) |
Thyroid cancer | thyroid gland carcinoma | 10 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000209/ScoringFiles/PGS000209.txt.gz |
| PGS000626 (PRSWEB_PHECODE193_20001-1065_PT_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Thyroid cancer | thyroid gland carcinoma | 8 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000626/ScoringFiles/PGS000626.txt.gz | |
| PGS000627 (PRSWEB_PHECODE193_C3-THYROID-GLAND_PT_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Thyroid cancer | thyroid gland carcinoma | 11 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000627/ScoringFiles/PGS000627.txt.gz | |
| PGS000628 (PRSWEB_PHECODE193_C3-THYROID-GLAND_LASSOSUM_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Thyroid cancer | thyroid gland carcinoma | 656 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000628/ScoringFiles/PGS000628.txt.gz | |
| PGS000629 (PRSWEB_PHECODE193_C73_PT_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Thyroid cancer | thyroid gland carcinoma | 8 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000629/ScoringFiles/PGS000629.txt.gz | |
| PGS000630 (PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_P_5e-08_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Thyroid cancer | thyroid gland carcinoma | 10 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000630/ScoringFiles/PGS000630.txt.gz | |
| PGS000631 (PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_P_5e-08_UKB_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Thyroid cancer | thyroid gland carcinoma | 10 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000631/ScoringFiles/PGS000631.txt.gz | |
| PGS000632 (PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_PT_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Thyroid cancer | thyroid gland carcinoma | 8 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000632/ScoringFiles/PGS000632.txt.gz | |
| PGS000633 (PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_PT_UKB_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Thyroid cancer | thyroid gland carcinoma | 5 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000633/ScoringFiles/PGS000633.txt.gz | |
| PGS000634 (PRSWEB_PHECODE193_UKBB-SAIGE-HRC-X193_PRS-CS_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Thyroid cancer | thyroid gland carcinoma | 1,119,238 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000634/ScoringFiles/PGS000634.txt.gz | |
| PGS000635 (PRSWEB_PHECODE193_UKBB-SAIGE-HRC-X193_PT_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Thyroid cancer | thyroid gland carcinoma | 5 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000635/ScoringFiles/PGS000635.txt.gz | |
| PGS000636 (PRSWEB_PHECODE193_UKBB-SAIGE-HRC-X193_LASSOSUM_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Thyroid cancer | thyroid gland carcinoma | 954 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000636/ScoringFiles/PGS000636.txt.gz | |
| PGS000759 (hypoT) |
PGP000164 | Khan Z et al. Nat Commun (2021) |
Hypothyroidism | hypothyroidism | 140 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000759/ScoringFiles/PGS000759.txt.gz |
| PGS000761 (LDpred2_hypoT_PRS) |
PGP000164 | Khan Z et al. Nat Commun (2021) |
Hypothyroidism | hypothyroidism | 1,099,649 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000761/ScoringFiles/PGS000761.txt.gz |
| PGS000797 (CC_Thyroid_IV) |
PGP000186 | Kachuri L et al. Nat Commun (2020) |
Thyroid cancer | thyroid gland carcinoma | 12 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000797/ScoringFiles/PGS000797.txt.gz |
| PGS000820 (PRS_hypothyroidism) |
PGP000204 | Luo J et al. Clin Cancer Res (2021) |
Hypothyroidism (self-reported) | hypothyroidism | 890,908 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000820/ScoringFiles/PGS000820.txt.gz |
| PGS000928 (GBE_HC644) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Other non-toxic goitre (time-to-event) | nontoxic goiter | 170 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000928/ScoringFiles/PGS000928.txt.gz |
| PGS000965 (GBE_HC219) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Hypothyroidism/myxoedema | hypothyroidism, myxedema |
4,535 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000965/ScoringFiles/PGS000965.txt.gz |
| PGS001042 (GBE_HC645) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Thyrotoxicosis [hyperthyroidism] (time-to-event) | thyrotoxicosis | 226 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001042/ScoringFiles/PGS001042.txt.gz |
| PGS001043 (GBE_HC55) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Hyperthyroidism, thyrotoxicosis | hyperthyroidism, thyrotoxicosis |
69 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001043/ScoringFiles/PGS001043.txt.gz |
| PGS001181 (GBE_HC643) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Other hypothyroidism (time-to-event) | hypothyroidism | 4,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001181/ScoringFiles/PGS001181.txt.gz |
| PGS001289 (GBE_cancer1065) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Thyroid cancer | thyroid gland carcinoma | 11 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001289/ScoringFiles/PGS001289.txt.gz |
| PGS001354 (PRS12_TC) |
PGP000251 | Song N et al. Cancer Epidemiol Biomarkers Prev (2021) |
Thyroid cancer | thyroid gland carcinoma | 12 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001354/ScoringFiles/PGS001354.txt.gz |
| PGS001794 (1kgeur_gbmi_leaveUKBBout_ThC_pst_eff_a1_b0.5_phiauto) |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Thyroid cancer | thyroid gland carcinoma | 911,462 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001794/ScoringFiles/PGS001794.txt.gz |
| PGS001799 (1kgeur_gbmi_ThC_pst_eff_a1_b0.5_phiauto) |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Thyroid cancer | thyroid gland carcinoma | 885,482 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001799/ScoringFiles/PGS001799.txt.gz |
| PGS001809 (portability-PLR_193) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Thyroid cancer | thyroid gland carcinoma | 111 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001809/ScoringFiles/PGS001809.txt.gz |
| PGS001814 (portability-PLR_241.2) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Nontoxic multinodular goiter | multinodular goiter, nontoxic goiter |
322 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001814/ScoringFiles/PGS001814.txt.gz |
| PGS001815 (portability-PLR_242) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Thyrotoxicosis with or without goiter | thyrotoxicosis | 280 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001815/ScoringFiles/PGS001815.txt.gz |
| PGS001816 (portability-PLR_244) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Hypothyroidism | hypothyroidism | 11,130 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001816/ScoringFiles/PGS001816.txt.gz |
| PGS002018 (portability-ldpred2_193) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Thyroid cancer | thyroid gland carcinoma | 311,520 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002018/ScoringFiles/PGS002018.txt.gz |
| PGS002022 (portability-ldpred2_241.2) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Nontoxic multinodular goiter | multinodular goiter, nontoxic goiter |
375,470 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002022/ScoringFiles/PGS002022.txt.gz |
| PGS002023 (portability-ldpred2_242) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Thyrotoxicosis with or without goiter | thyrotoxicosis | 279,385 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002023/ScoringFiles/PGS002023.txt.gz |
| PGS002024 (portability-ldpred2_244) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Hypothyroidism | hypothyroidism | 632,597 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002024/ScoringFiles/PGS002024.txt.gz |
| PGS002336 (disease_HYPOTHYROIDISM_SELF_REP.BOLT-LMM) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Hypothyroidism | hypothyroidism | 1,109,311 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002336/ScoringFiles/PGS002336.txt.gz |
| PGS002351 (disease_THYROID_ANY_SELF_REP.BOLT-LMM) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Thyroid (self-reported conditions) | thyroid gland disorder | 1,109,311 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002351/ScoringFiles/PGS002351.txt.gz |
| PGS002408 (disease_HYPOTHYROIDISM_SELF_REP.P+T.0.0001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Hypothyroidism | hypothyroidism | 4,815 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002408/ScoringFiles/PGS002408.txt.gz |
| PGS002423 (disease_THYROID_ANY_SELF_REP.P+T.0.0001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Thyroid (self-reported conditions) | thyroid gland disorder | 4,483 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002423/ScoringFiles/PGS002423.txt.gz |
| PGS002457 (disease_HYPOTHYROIDISM_SELF_REP.P+T.0.001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Hypothyroidism | hypothyroidism | 17,519 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002457/ScoringFiles/PGS002457.txt.gz |
| PGS002472 (disease_THYROID_ANY_SELF_REP.P+T.0.001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Thyroid (self-reported conditions) | thyroid gland disorder | 16,694 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002472/ScoringFiles/PGS002472.txt.gz |
| PGS002506 (disease_HYPOTHYROIDISM_SELF_REP.P+T.0.01) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Hypothyroidism | hypothyroidism | 97,010 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002506/ScoringFiles/PGS002506.txt.gz |
| PGS002521 (disease_THYROID_ANY_SELF_REP.P+T.0.01) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Thyroid (self-reported conditions) | thyroid gland disorder | 95,522 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002521/ScoringFiles/PGS002521.txt.gz |
| PGS002555 (disease_HYPOTHYROIDISM_SELF_REP.P+T.1e-06) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Hypothyroidism | hypothyroidism | 986 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002555/ScoringFiles/PGS002555.txt.gz |
| PGS002570 (disease_THYROID_ANY_SELF_REP.P+T.1e-06) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Thyroid (self-reported conditions) | thyroid gland disorder | 954 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002570/ScoringFiles/PGS002570.txt.gz |
| PGS002604 (disease_HYPOTHYROIDISM_SELF_REP.P+T.5e-08) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Hypothyroidism | hypothyroidism | 550 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002604/ScoringFiles/PGS002604.txt.gz |
| PGS002619 (disease_THYROID_ANY_SELF_REP.P+T.5e-08) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Thyroid (self-reported conditions) | thyroid gland disorder | 548 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002619/ScoringFiles/PGS002619.txt.gz |
| PGS002653 (disease_HYPOTHYROIDISM_SELF_REP.PolyFun-pred) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Hypothyroidism | hypothyroidism | 197,450 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002653/ScoringFiles/PGS002653.txt.gz |
| PGS002668 (disease_THYROID_ANY_SELF_REP.PolyFun-pred) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Thyroid (self-reported conditions) | thyroid gland disorder | 189,808 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002668/ScoringFiles/PGS002668.txt.gz |
| PGS002702 (disease_HYPOTHYROIDISM_SELF_REP.SBayesR) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Hypothyroidism | hypothyroidism | 889,041 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002702/ScoringFiles/PGS002702.txt.gz |
| PGS002717 (disease_THYROID_ANY_SELF_REP.SBayesR) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Thyroid (self-reported conditions) | thyroid gland disorder | 895,602 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002717/ScoringFiles/PGS002717.txt.gz |
| PGS002766 (Hypothyroidism_prscs) |
PGP000364 | Mars N et al. Am J Hum Genet (2022) |
Hypothyroidism | hypothyroidism | 1,092,122 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002766/ScoringFiles/PGS002766.txt.gz |
| PGS003437 (PRS23_TC) |
PGP000439 | Feng X et al. JAMA Netw Open (2022) |
Thyroid cancer | thyroid gland carcinoma | 23 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003437/ScoringFiles/PGS003437.txt.gz |
| PGS003746 (PRS11_TC) |
PGP000470 | Xin J et al. EBioMedicine (2023) |
Thyroid cancer | thyroid gland carcinoma | 11 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003746/ScoringFiles/PGS003746.txt.gz | |
| PGS004446 (disease.E03.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
E03 (Other hypothyroidism) | hypothyroidism | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004446/ScoringFiles/PGS004446.txt.gz |
| PGS004516 (meta.E03.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
E03 (Other hypothyroidism) | hypothyroidism | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004516/ScoringFiles/PGS004516.txt.gz |
| PGS004789 (hypothyroid_PRSmix_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Hypothyroidism | hypothyroidism | 1,109,333 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004789/ScoringFiles/PGS004789.txt.gz |
| PGS004790 (hypothyroid_PRSmixPlus_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Hypothyroidism | hypothyroidism | 1,841,655 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004790/ScoringFiles/PGS004790.txt.gz |
| PGS004935 (hypothyroidism_snpnet_combined) |
PGP000665 | Moreno-Grau S et al. Human Genomics (2024) |
Hypothyroidism | hypothyroidism | 6,127 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004935/ScoringFiles/PGS004935.txt.gz |
| PGS004954 (PRS26_TC) |
PGP000676 | Pozdeyev N et al. J Clin Endocrinol Metab (2024) |
Thyroid cancer | thyroid gland carcinoma | 26 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004954/ScoringFiles/PGS004954.txt.gz |
| PGS005210 (Thyroid_PRS) |
PGP000729 | Gibson TM et al. Nat Med (2024) |
Thyroid cancer | thyroid gland carcinoma | 12 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005210/ScoringFiles/PGS005210.txt.gz |
| PGS005218 (prsweights_hypothyroidism_excl23) |
PGP000733 | Rand SA et al. Nat Genet (2025) |
Hypothyroidism | hypothyroidism | 1,110,091 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005218/ScoringFiles/PGS005218.txt.gz | |
| PGS005258 (thyroid_cancer_mixed_pt) |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Thyroid carcenoma | thyroid gland carcinoma | 84 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005258/ScoringFiles/PGS005258.txt.gz |
| PGS005259 (thyroid_cancer_mixed_prscs) |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Thyroid carcenoma | thyroid gland carcinoma | 1,085,173 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005259/ScoringFiles/PGS005259.txt.gz |
| PGS005260 (thyroid_cancer_eur_prscs) |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Thyroid carcenoma | thyroid gland carcinoma | 1,085,170 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005260/ScoringFiles/PGS005260.txt.gz |
| PGS005261 (benign_nodular_goiter_mixed_pt) |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Benign nodular goiter | benign, nodular goiter |
110 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005261/ScoringFiles/PGS005261.txt.gz |
| PGS005262 (benign_nodular_goiter_mixed_prscs) |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Benign nodular goiter | benign, nodular goiter |
1,085,173 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005262/ScoringFiles/PGS005262.txt.gz |
| PGS005263 (benign_nodular_goiter_eur_prscs) |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Benign nodular goiter | benign, nodular goiter |
1,085,170 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005263/ScoringFiles/PGS005263.txt.gz |
| PGS005264 (graves_disease_mixed_pt) |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Graves' disease | Graves disease | 112 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005264/ScoringFiles/PGS005264.txt.gz |
| PGS005265 (graves_disease_mixed_prscs) |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Graves' disease | Graves disease | 1,085,173 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005265/ScoringFiles/PGS005265.txt.gz |
| PGS005266 (graves_disease_eur_prscs) |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Graves' disease | Graves disease | 1,085,170 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005266/ScoringFiles/PGS005266.txt.gz |
| PGS005267 (hypothyroidism_mixed_pt) |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Hypothyroidism | hypothyroidism | 439 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005267/ScoringFiles/PGS005267.txt.gz |
| PGS005268 (hypothyroidism_mixed_prscs) |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Hypothyroidism | hypothyroidism | 1,085,173 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005268/ScoringFiles/PGS005268.txt.gz |
| PGS005269 (hypothyroidism_eur_prscs) |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Hypothyroidism | hypothyroidism | 1,085,170 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005269/ScoringFiles/PGS005269.txt.gz |
| PGS005270 (lymphocytic_thyroiditis_mixed_pt) |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Lymphocytic thyroiditis | Hashimoto thyroiditis | 55 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005270/ScoringFiles/PGS005270.txt.gz |
| PGS005271 (lymphocytic_thyroiditis_mixed_prscs) |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Lymphocytic thyroiditis | Hashimoto thyroiditis | 1,085,156 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005271/ScoringFiles/PGS005271.txt.gz |
| PGS005272 (lymphocytic_thyroiditis_eur_prscs) |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Lymphocytic thyroiditis | Hashimoto thyroiditis | 1,085,142 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005272/ScoringFiles/PGS005272.txt.gz |
| PGS005273 (tc_vs_bng_mixed_prscs) |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Thyroid carcenoma vs benign nodular goiter | benign, nodular goiter, thyroid gland carcinoma |
1,085,164 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005273/ScoringFiles/PGS005273.txt.gz |
| PGS005274 (tc_vs_bng_eur_prscs) |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Thyroid carcenoma vs benign nodular goiter | benign, nodular goiter, thyroid gland carcinoma |
1,084,965 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005274/ScoringFiles/PGS005274.txt.gz |
| PGS018580 (TPMI_193_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Thyroid cancer | thyroid cancer | 966 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018580/ScoringFiles/PGS018580.txt.gz | |
| PGS018581 (TPMI_193_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Thyroid cancer | thyroid cancer | 939,827 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018581/ScoringFiles/PGS018581.txt.gz | |
| PGS018582 (TPMI_193_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Thyroid cancer | thyroid cancer | 43,806 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018582/ScoringFiles/PGS018582.txt.gz | |
| PGS018583 (TPMI_193_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Thyroid cancer | thyroid cancer | 983,779 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018583/ScoringFiles/PGS018583.txt.gz | |
| PGS018584 (TPMI_193_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Thyroid cancer | thyroid cancer | 116,829 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018584/ScoringFiles/PGS018584.txt.gz | |
| PGS018635 (TPMI_226_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Benign neoplasm of thyroid glands | benign thyroid gland neoplasm | 90 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018635/ScoringFiles/PGS018635.txt.gz | |
| PGS018636 (TPMI_226_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Benign neoplasm of thyroid glands | benign thyroid gland neoplasm | 310,396 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018636/ScoringFiles/PGS018636.txt.gz | |
| PGS018637 (TPMI_226_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Benign neoplasm of thyroid glands | benign thyroid gland neoplasm | 499,454 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018637/ScoringFiles/PGS018637.txt.gz | |
| PGS018638 (TPMI_226_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Benign neoplasm of thyroid glands | benign thyroid gland neoplasm | 983,834 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018638/ScoringFiles/PGS018638.txt.gz | |
| PGS018639 (TPMI_226_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Benign neoplasm of thyroid glands | benign thyroid gland neoplasm | 1,003,044 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018639/ScoringFiles/PGS018639.txt.gz | |
| PGS018645 (TPMI_240_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Simple and unspecified goiter | goiter | 390 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018645/ScoringFiles/PGS018645.txt.gz | |
| PGS018646 (TPMI_240_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Simple and unspecified goiter | goiter | 939,871 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018646/ScoringFiles/PGS018646.txt.gz | |
| PGS018647 (TPMI_240_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Simple and unspecified goiter | goiter | 42,921 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018647/ScoringFiles/PGS018647.txt.gz | |
| PGS018648 (TPMI_240_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Simple and unspecified goiter | goiter | 983,818 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018648/ScoringFiles/PGS018648.txt.gz | |
| PGS018649 (TPMI_240_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Simple and unspecified goiter | goiter | 92,760 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018649/ScoringFiles/PGS018649.txt.gz | |
| PGS018650 (TPMI_241_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Nontoxic nodular goiter | toxic multinodular goitre | 2,717 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018650/ScoringFiles/PGS018650.txt.gz | |
| PGS018651 (TPMI_241_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Nontoxic nodular goiter | toxic multinodular goitre | 939,876 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018651/ScoringFiles/PGS018651.txt.gz | |
| PGS018652 (TPMI_241_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Nontoxic nodular goiter | toxic multinodular goitre | 457,716 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018652/ScoringFiles/PGS018652.txt.gz | |
| PGS018653 (TPMI_241_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Nontoxic nodular goiter | toxic multinodular goitre | 983,821 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018653/ScoringFiles/PGS018653.txt.gz | |
| PGS018654 (TPMI_241_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Nontoxic nodular goiter | toxic multinodular goitre | 94,850 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018654/ScoringFiles/PGS018654.txt.gz | |
| PGS018655 (TPMI_241.1_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Nontoxic uninodular goiter | nontoxic goiter | 327 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018655/ScoringFiles/PGS018655.txt.gz | |
| PGS018656 (TPMI_241.1_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Nontoxic uninodular goiter | nontoxic goiter | 215,680 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018656/ScoringFiles/PGS018656.txt.gz | |
| PGS018657 (TPMI_241.1_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Nontoxic uninodular goiter | nontoxic goiter | 561,432 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018657/ScoringFiles/PGS018657.txt.gz | |
| PGS018658 (TPMI_241.1_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Nontoxic uninodular goiter | nontoxic goiter | 983,778 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018658/ScoringFiles/PGS018658.txt.gz | |
| PGS018659 (TPMI_241.1_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Nontoxic uninodular goiter | nontoxic goiter | 1,006,150 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018659/ScoringFiles/PGS018659.txt.gz | |
| PGS018660 (TPMI_241.2_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Nontoxic multinodular goiter | nontoxic goiter | 610 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018660/ScoringFiles/PGS018660.txt.gz | |
| PGS018661 (TPMI_241.2_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Nontoxic multinodular goiter | nontoxic goiter | 275,929 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018661/ScoringFiles/PGS018661.txt.gz | |
| PGS018662 (TPMI_241.2_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Nontoxic multinodular goiter | nontoxic goiter | 45,575 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018662/ScoringFiles/PGS018662.txt.gz | |
| PGS018663 (TPMI_241.2_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Nontoxic multinodular goiter | nontoxic goiter | 983,819 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018663/ScoringFiles/PGS018663.txt.gz | |
| PGS018664 (TPMI_241.2_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Nontoxic multinodular goiter | nontoxic goiter | 142,675 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018664/ScoringFiles/PGS018664.txt.gz | |
| PGS018665 (TPMI_242_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Thyrotoxicosis with or without goiter | thyrotoxicosis | 1,343 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018665/ScoringFiles/PGS018665.txt.gz | |
| PGS018666 (TPMI_242_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Thyrotoxicosis with or without goiter | thyrotoxicosis | 348,159 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018666/ScoringFiles/PGS018666.txt.gz | |
| PGS018667 (TPMI_242_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Thyrotoxicosis with or without goiter | thyrotoxicosis | 66,615 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018667/ScoringFiles/PGS018667.txt.gz | |
| PGS018668 (TPMI_242_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Thyrotoxicosis with or without goiter | thyrotoxicosis | 983,779 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018668/ScoringFiles/PGS018668.txt.gz | |
| PGS018669 (TPMI_242_PRSmix+) |
PGP000835 | Chen HH et al. Nature (2025) |
Thyrotoxicosis with or without goiter | thyrotoxicosis | 1,071,402 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018669/ScoringFiles/PGS018669.txt.gz | |
| PGS018670 (TPMI_242_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Thyrotoxicosis with or without goiter | thyrotoxicosis | 151,393 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018670/ScoringFiles/PGS018670.txt.gz | |
| PGS018671 (TPMI_242.1_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Graves disease | Graves disease | 415 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018671/ScoringFiles/PGS018671.txt.gz | |
| PGS018672 (TPMI_242.1_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Graves disease | Graves disease | 220,843 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018672/ScoringFiles/PGS018672.txt.gz | |
| PGS018673 (TPMI_242.1_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Graves disease | Graves disease | 37,771 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018673/ScoringFiles/PGS018673.txt.gz | |
| PGS018674 (TPMI_242.1_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Graves disease | Graves disease | 983,772 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018674/ScoringFiles/PGS018674.txt.gz | |
| PGS018675 (TPMI_242.1_PRSmix+) |
PGP000835 | Chen HH et al. Nature (2025) |
Graves disease | Graves disease | 1,071,402 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018675/ScoringFiles/PGS018675.txt.gz | |
| PGS018676 (TPMI_242.1_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Graves disease | Graves disease | 975,251 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018676/ScoringFiles/PGS018676.txt.gz | |
| PGS018677 (TPMI_244_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Hypothyroidism | hypothyroidism | 217 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018677/ScoringFiles/PGS018677.txt.gz | |
| PGS018678 (TPMI_244_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Hypothyroidism | hypothyroidism | 939,824 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018678/ScoringFiles/PGS018678.txt.gz | |
| PGS018679 (TPMI_244_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Hypothyroidism | hypothyroidism | 24,819 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018679/ScoringFiles/PGS018679.txt.gz | |
| PGS018680 (TPMI_244_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Hypothyroidism | hypothyroidism | 983,780 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018680/ScoringFiles/PGS018680.txt.gz | |
| PGS018681 (TPMI_244_PRSmix+) |
PGP000835 | Chen HH et al. Nature (2025) |
Hypothyroidism | hypothyroidism | 1,071,402 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018681/ScoringFiles/PGS018681.txt.gz | |
| PGS018682 (TPMI_244_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Hypothyroidism | hypothyroidism | 966,339 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018682/ScoringFiles/PGS018682.txt.gz | |
| PGS018683 (TPMI_244.4_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Hypothyroidism NOS | hypothyroidism | 493 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018683/ScoringFiles/PGS018683.txt.gz | |
| PGS018684 (TPMI_244.4_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Hypothyroidism NOS | hypothyroidism | 939,822 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018684/ScoringFiles/PGS018684.txt.gz | |
| PGS018685 (TPMI_244.4_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Hypothyroidism NOS | hypothyroidism | 414,367 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018685/ScoringFiles/PGS018685.txt.gz | |
| PGS018686 (TPMI_244.4_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Hypothyroidism NOS | hypothyroidism | 983,778 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018686/ScoringFiles/PGS018686.txt.gz | |
| PGS018687 (TPMI_244.4_PRSmix+) |
PGP000835 | Chen HH et al. Nature (2025) |
Hypothyroidism NOS | hypothyroidism | 1,071,403 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018687/ScoringFiles/PGS018687.txt.gz | |
| PGS018688 (TPMI_244.4_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Hypothyroidism NOS | hypothyroidism | 951,538 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018688/ScoringFiles/PGS018688.txt.gz | |
| PGS018689 (TPMI_245_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Thyroiditis | thyroiditis | 2,574 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018689/ScoringFiles/PGS018689.txt.gz | |
| PGS018690 (TPMI_245_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Thyroiditis | thyroiditis | 939,823 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018690/ScoringFiles/PGS018690.txt.gz | |
| PGS018691 (TPMI_245_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Thyroiditis | thyroiditis | 38,746 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018691/ScoringFiles/PGS018691.txt.gz | |
| PGS018692 (TPMI_245_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Thyroiditis | thyroiditis | 983,779 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018692/ScoringFiles/PGS018692.txt.gz | |
| PGS018693 (TPMI_245_PRSmix+) |
PGP000835 | Chen HH et al. Nature (2025) |
Thyroiditis | thyroiditis | 1,071,402 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018693/ScoringFiles/PGS018693.txt.gz | |
| PGS018694 (TPMI_245_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Thyroiditis | thyroiditis | 976,726 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018694/ScoringFiles/PGS018694.txt.gz | |
| PGS018695 (TPMI_245.2_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Chronic thyroiditis | Hashimoto thyroiditis | 171 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018695/ScoringFiles/PGS018695.txt.gz | |
| PGS018696 (TPMI_245.2_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Chronic thyroiditis | Hashimoto thyroiditis | 939,816 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018696/ScoringFiles/PGS018696.txt.gz | |
| PGS018697 (TPMI_245.2_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Chronic thyroiditis | Hashimoto thyroiditis | 392,668 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018697/ScoringFiles/PGS018697.txt.gz | |
| PGS018698 (TPMI_245.2_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Chronic thyroiditis | Hashimoto thyroiditis | 983,771 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018698/ScoringFiles/PGS018698.txt.gz | |
| PGS018699 (TPMI_245.2_PRSmix+) |
PGP000835 | Chen HH et al. Nature (2025) |
Chronic thyroiditis | Hashimoto thyroiditis | 1,071,404 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018699/ScoringFiles/PGS018699.txt.gz | |
| PGS018700 (TPMI_245.2_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Chronic thyroiditis | Hashimoto thyroiditis | 979,446 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018700/ScoringFiles/PGS018700.txt.gz | |
| PGS018701 (TPMI_245.21_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Chronic lymphocytic thyroiditis | Hashimoto thyroiditis | 190 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018701/ScoringFiles/PGS018701.txt.gz | |
| PGS018702 (TPMI_245.21_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Chronic lymphocytic thyroiditis | Hashimoto thyroiditis | 318,664 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018702/ScoringFiles/PGS018702.txt.gz | |
| PGS018703 (TPMI_245.21_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Chronic lymphocytic thyroiditis | Hashimoto thyroiditis | 394,827 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018703/ScoringFiles/PGS018703.txt.gz | |
| PGS018704 (TPMI_245.21_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Chronic lymphocytic thyroiditis | Hashimoto thyroiditis | 983,771 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018704/ScoringFiles/PGS018704.txt.gz | |
| PGS018705 (TPMI_245.21_PRSmix+) |
PGP000835 | Chen HH et al. Nature (2025) |
Chronic lymphocytic thyroiditis | Hashimoto thyroiditis | 1,071,405 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018705/ScoringFiles/PGS018705.txt.gz | |
| PGS018706 (TPMI_245.21_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Chronic lymphocytic thyroiditis | Hashimoto thyroiditis | 1,005,256 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018706/ScoringFiles/PGS018706.txt.gz | |
| PGS018707 (TPMI_246_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Other disorders of thyroid | thyroid gland disorder | 3,470 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018707/ScoringFiles/PGS018707.txt.gz | |
| PGS018708 (TPMI_246_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Other disorders of thyroid | thyroid gland disorder | 939,875 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018708/ScoringFiles/PGS018708.txt.gz | |
| PGS018709 (TPMI_246_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Other disorders of thyroid | thyroid gland disorder | 23,611 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018709/ScoringFiles/PGS018709.txt.gz | |
| PGS018710 (TPMI_246_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Other disorders of thyroid | thyroid gland disorder | 983,821 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018710/ScoringFiles/PGS018710.txt.gz | |
| PGS018711 (TPMI_246_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Other disorders of thyroid | thyroid gland disorder | 967,487 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018711/ScoringFiles/PGS018711.txt.gz | |
| PGS019984 (ThyGland) |
PGP000850 | Hu J et al. PLoS Genet (2026) |
Thyroid gland cancer | thyroid gland carcinoma | 1,083,370 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019984/ScoringFiles/PGS019984.txt.gz |
|
PGS Performance Metric ID (PPM) |
Evaluated Score |
PGS Sample Set ID (PSS) |
Performance Source | Trait |
PGS Effect Sizes (per SD change) |
Classification Metrics | Other Metrics | Covariates Included in the Model |
PGS Performance: Other Relevant Information |
|---|---|---|---|---|---|---|---|---|---|
| PPM000207 | PGS000087 (CC_Thyroid) |
PSS000126| European Ancestry| 411,118 individuals |
PGP000050 | Graff RE et al. Nat Commun (2021) |
Reported Trait: Thyroid cancer | OR: 1.55 [1.44, 1.67] | — | — | Genotyping reagent kit (GERA cohort only), genotyping array (UK Biobank only), age, sex, 10 PCs. | Results from meta-analysis of GERA and UKB |
| PPM000493 | PGS000162 (cGRS_Thyroid) |
PSS000282| European Ancestry| 13,814 individuals |
PGP000075 | Shi Z et al. Cancer Med (2019) |
Reported Trait: Thyroid cancer | — | — | Odds Ratio (OR; high vs. average risk groups): 1.7 [1.29, 2.25] | — | — |
| PPM000482 | PGS000162 (cGRS_Thyroid) |
PSS000282| European Ancestry| 13,814 individuals |
PGP000075 | Shi Z et al. Cancer Med (2019) |
Reported Trait: Thyroid cancer | — | — | Mean realative risk: 1.09 [1.04, 1.15] Wilcoxon test (case vs. control) p-value: 4e-05 |
— | — |
| PPM001314 | PGS000629 (PRSWEB_PHECODE193_C73_PT_MGI_20200608) |
PSS000558| European Ancestry| 4,270 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Thyroid cancer | β: 0.114 (0.0517) OR: 1.121 [1.013, 1.24] |
AUROC: 0.52 [0.488, 0.55] | Nagelkerke's Pseudo-R²: 0.00247 Brier score: 0.0827 Odds Ratio (OR, top 1% vs. Rest): 2.15 [1.01, 4.59] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE193_C73_PT_MGI_20200608 |
| PPM001317 | PGS000632 (PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_PT_MGI_20200608) |
PSS000558| European Ancestry| 4,270 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Thyroid cancer | OR: 1.568 [1.412, 1.74] β: 0.45 (0.0532) |
AUROC: 0.618 [0.587, 0.647] | Nagelkerke's Pseudo-R²: 0.0365 Brier score: 0.0812 Odds Ratio (OR, top 1% vs. Rest): 5.14 [2.94, 8.99] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_PT_MGI_20200608 |
| PPM001320 | PGS000635 (PRSWEB_PHECODE193_UKBB-SAIGE-HRC-X193_PT_MGI_20200608) |
PSS000558| European Ancestry| 4,270 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Thyroid cancer | OR: 1.315 [1.194, 1.448] β: 0.274 (0.0492) |
AUROC: 0.569 [0.538, 0.598] | Nagelkerke's Pseudo-R²: 0.0151 Brier score: 0.0822 Odds Ratio (OR, top 1% vs. Rest): 1.65 [0.708, 3.83] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE193_UKBB-SAIGE-HRC-X193_PT_MGI_20200608 |
| PPM001311 | PGS000626 (PRSWEB_PHECODE193_20001-1065_PT_MGI_20200608) |
PSS000558| European Ancestry| 4,270 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Thyroid cancer | OR: 1.161 [1.048, 1.285] β: 0.149 (0.052) |
AUROC: 0.529 [0.496, 0.559] | Nagelkerke's Pseudo-R²: 0.0041 Brier score: 0.0826 Odds Ratio (OR, top 1% vs. Rest): 2.44 [1.18, 5.02] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE193_20001-1065_PT_MGI_20200608 |
| PPM001312 | PGS000627 (PRSWEB_PHECODE193_C3-THYROID-GLAND_PT_MGI_20200608) |
PSS000558| European Ancestry| 4,270 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Thyroid cancer | OR: 1.27 [1.148, 1.405] β: 0.239 (0.0515) |
AUROC: 0.56 [0.53, 0.59] | Nagelkerke's Pseudo-R²: 0.0107 Brier score: 0.0824 Odds Ratio (OR, top 1% vs. Rest): 2.42 [1.17, 4.98] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE193_C3-THYROID-GLAND_PT_MGI_20200608 |
| PPM001313 | PGS000628 (PRSWEB_PHECODE193_C3-THYROID-GLAND_LASSOSUM_MGI_20200608) |
PSS000558| European Ancestry| 4,270 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Thyroid cancer | OR: 1.276 [1.155, 1.41] β: 0.244 (0.0509) |
AUROC: 0.565 [0.535, 0.595] | Nagelkerke's Pseudo-R²: 0.0114 Brier score: 0.0823 Odds Ratio (OR, top 1% vs. Rest): 1.91 [0.861, 4.22] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE193_C3-THYROID-GLAND_LASSOSUM_MGI_20200608 |
| PPM001315 | PGS000630 (PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_P_5e-08_MGI_20200608) |
PSS000558| European Ancestry| 4,270 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Thyroid cancer | OR: 1.598 [1.439, 1.775] β: 0.469 (0.0536) |
AUROC: 0.626 [0.597, 0.655] | Nagelkerke's Pseudo-R²: 0.0393 Brier score: 0.0811 Odds Ratio (OR, top 1% vs. Rest): 3.53 [1.87, 6.66] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_P_5e-08_MGI_20200608 |
| PPM001316 | PGS000631 (PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_P_5e-08_UKB_20200608) |
PSS000579| European Ancestry| 1,778 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Thyroid cancer | OR: 1.651 [1.41, 1.934] β: 0.501 (0.0806) |
AUROC: 0.636 [0.589, 0.682] | Nagelkerke's Pseudo-R²: 0.0478 Brier score: 0.0803 Odds Ratio (OR, top 1% vs. Rest): 4.4 [1.81, 10.7] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_P_5e-08_UKB_20200608 |
| PPM001318 | PGS000633 (PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_PT_UKB_20200608) |
PSS000579| European Ancestry| 1,778 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Thyroid cancer | OR: 1.609 [1.38, 1.876] β: 0.476 (0.0783) |
AUROC: 0.628 [0.582, 0.675] | Nagelkerke's Pseudo-R²: 0.0447 Brier score: 0.0804 Odds Ratio (OR, top 1% vs. Rest): 4.41 [1.81, 10.7] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_PT_UKB_20200608 |
| PPM001319 | PGS000634 (PRSWEB_PHECODE193_UKBB-SAIGE-HRC-X193_PRS-CS_MGI_20200608) |
PSS000558| European Ancestry| 4,270 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Thyroid cancer | OR: 1.119 [1.008, 1.241] β: 0.112 (0.053) |
AUROC: 0.535 [0.504, 0.567] | Nagelkerke's Pseudo-R²: 0.00228 Brier score: 0.0827 Odds Ratio (OR, top 1% vs. Rest): 1.39 [0.562, 3.45] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE193_UKBB-SAIGE-HRC-X193_PRS-CS_MGI_20200608 |
| PPM001321 | PGS000636 (PRSWEB_PHECODE193_UKBB-SAIGE-HRC-X193_LASSOSUM_MGI_20200608) |
PSS000558| European Ancestry| 4,270 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Thyroid cancer | OR: 1.385 [1.254, 1.529] β: 0.325 (0.0507) |
AUROC: 0.578 [0.548, 0.607] | Nagelkerke's Pseudo-R²: 0.0205 Brier score: 0.0819 Odds Ratio (OR, top 1% vs. Rest): 3.21 [1.67, 6.15] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE193_UKBB-SAIGE-HRC-X193_LASSOSUM_MGI_20200608 |
| PPM000633 | PGS000209 (TC10_UKB) |
PSS000343| European Ancestry| 408,479 individuals |
PGP000085 | Liyanarachchi S et al. Proc Natl Acad Sci U S A (2020) |
Reported Trait: Thyroid cancer | — | AUROC: 0.694 [0.673, 0.716] | — | gender, birth year | AUROC (Clinical factors alone) = 0.629 [0.606 - 0.651] |
| PPM002193 | PGS000820 (PRS_hypothyroidism) |
PSS001068| European Ancestry| 51,070 individuals |
PGP000204 | Luo J et al. Clin Cancer Res (2021) |
Reported Trait: Spontaneous hypothyroidism | OR: 1.33 [1.29, 1.37] | AUROC: 0.6 | — | Age, sex, PCs(1-10) | — |
| PPM002195 | PGS000820 (PRS_hypothyroidism) |
PSS001070| Multi-ancestry (including European)| 744 individuals |
PGP000204 | Luo J et al. Clin Cancer Res (2021) |
Reported Trait: Immune checkpoint inhibitor therapy induced immune-related thyroid dysfunction in individuals with non-small cell lung cancer | HR: 1.34 [1.08, 1.66] | AUROC: 0.6 | — | Age, sex, PCs(1-10) | — |
| PPM000632 | PGS000208 (TC10_Iceland) |
PSS000341| European Ancestry| 130,279 individuals |
PGP000085 | Liyanarachchi S et al. Proc Natl Acad Sci U S A (2020) |
Reported Trait: Thyroid cancer | — | AUROC: 0.751 [0.736, 0.768] | — | gender, birth year, family history of disease (1st or 2nd degree relative) | AUROC (Clinical factors alone) = 0.697 [0.680 - 0.714] |
| PPM000631 | PGS000207 (TC10_Ohio) |
PSS000342| European Ancestry| 3,137 individuals |
PGP000085 | Liyanarachchi S et al. Proc Natl Acad Sci U S A (2020) |
Reported Trait: Thyroid cancer | — | AUROC: 0.692 [0.673, 0.71] | — | gender, birth year, family history of disease (1st or 2nd degree relative) | AUROC (Clinical factors alone) = 0.585 [0.565 - 0.605] |
| PPM002197 | PGS000820 (PRS_hypothyroidism) |
PSS001070| Multi-ancestry (including European)| 744 individuals |
PGP000204 | Luo J et al. Clin Cancer Res (2021) |
Reported Trait: Anti-PD-(L)1 monotherapy induced immune-related thyroid dysfunction in individuals with non-small cell lung cancer | HR: 1.34 [1.07, 1.69] | — | — | Age, sex, PCs(1-10) | — |
| PPM002199 | PGS000820 (PRS_hypothyroidism) |
PSS001069| Multi-ancestry (including European)| 561 individuals |
PGP000204 | Luo J et al. Clin Cancer Res (2021) |
Reported Trait: Immune checkpoint inhibitor therapy induced immune-related thyroid dysfunction in individuals with non-small cell lung cancer | HR: 1.39 [1.07, 1.82] | AUROC: 0.64 | — | Age, sex, PCs(1-10) | — |
| PPM001934 | PGS000759 (hypoT) |
PSS000970| European Ancestry| 1,584 individuals |
PGP000164 | Khan Z et al. Nat Commun (2021) |
Reported Trait: anti-PD-L1 induced hypothyroidism in cancer patients | HR: 1.52 [1.31, 1.74] | — | meta-analysis p-value: 7.52e-09 | 5 genotype PCs | — |
| PPM001936 | PGS000761 (LDpred2_hypoT_PRS) |
PSS000970| European Ancestry| 1,584 individuals |
PGP000164 | Khan Z et al. Nat Commun (2021) |
Reported Trait: anti-PD-L1 induced hypothyroidism in cancer patients | HR: 1.49 [1.3, 1.71] | — | meta-analysis p-value: 5.49e-09 | 5 genotype PCs | — |
| PPM002052 | PGS000087 (CC_Thyroid) |
PSS001025| European Ancestry| 391,189 individuals |
PGP000186 | Kachuri L et al. Nat Commun (2020) |Ext. |
Reported Trait: Incident thyroid cancer | HR: 1.57 [1.36, 1.82] | AUROC: 0.679 C-index: 0.666 (0.023) |
— | Age at assessment, sex,, genotyping array, PCs(1-15), body mass index (BMI <25 vs. 25≤BMI<30, BMI≥30) | C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years. |
| PPM002068 | PGS000797 (CC_Thyroid_IV) |
PSS001025| European Ancestry| 391,189 individuals |
PGP000186 | Kachuri L et al. Nat Commun (2020) |
Reported Trait: Incident thyroid cancer | HR: 1.75 [1.53, 2.01] | AUROC: 0.701 C-index: 0.692 (0.022) |
R²: 0.31 | Age at assessment, sex,, genotyping array, PCs(1-15), body mass index (BMI <25 vs. 25≤BMI<30, BMI≥30) | C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years. |
| PPM002198 | PGS000820 (PRS_hypothyroidism) |
PSS001071| European Ancestry| 634 individuals |
PGP000204 | Luo J et al. Clin Cancer Res (2021) |
Reported Trait: Immune checkpoint inhibitor therapy induced immune-related thyroid dysfunction in individuals with non-small cell lung cancer | HR: 1.27 [1.02, 1.59] | — | — | Age, sex | — |
| PPM005178 | PGS001354 (PRS12_TC) |
PSS003603| European Ancestry| 2,370 individuals |
PGP000251 | Song N et al. Cancer Epidemiol Biomarkers Prev (2021) |
Reported Trait: Subsequent thyroid cancer in childhood cancer survivors | — | — | Relative Rate (RR): 1.57 [1.24, 1.98] | Attained age modeled by restricted cubic splines | — |
| PPM005179 | PGS001354 (PRS12_TC) |
PSS003603| European Ancestry| 2,370 individuals |
PGP000251 | Song N et al. Cancer Epidemiol Biomarkers Prev (2021) |
Reported Trait: Subsequent thyroid cancer in childhood cancer survivors who had received neck radiotherapy | — | — | Relative Rate (RR): 1.68 [1.29, 2.18] | Attained age modeled by restricted cubic splines | — |
| PPM005180 | PGS001354 (PRS12_TC) |
PSS003602| European Ancestry| 6,416 individuals |
PGP000251 | Song N et al. Cancer Epidemiol Biomarkers Prev (2021) |
Reported Trait: Subsequent thyroid cancer in childhood cancer survivors | — | — | Relative Rate (RR): 1.52 [1.25, 1.83] | Attained age modeled by restricted cubic splines | — |
| PPM005181 | PGS001354 (PRS12_TC) |
PSS003602| European Ancestry| 6,416 individuals |
PGP000251 | Song N et al. Cancer Epidemiol Biomarkers Prev (2021) |
Reported Trait: Subsequent thyroid cancer in childhood cancer survivors who had received neck radiotherapy | — | — | Relative Rate (RR): 1.42 [1.09, 1.85] | Attained age modeled by restricted cubic splines | — |
| PPM005182 | PGS001354 (PRS12_TC) |
PSS003602| European Ancestry| 6,416 individuals |
PGP000251 | Song N et al. Cancer Epidemiol Biomarkers Prev (2021) |
Reported Trait: Subsequent thyroid cancer in childhood cancer survivors who had not received neck radiotherapy | — | — | Relative Rate (RR): 1.66 [1.26, 2.2] | Attained age modeled by restricted cubic splines | — |
| PPM005183 | PGS001354 (PRS12_TC) |
PSS003603| European Ancestry| 2,370 individuals |
PGP000251 | Song N et al. Cancer Epidemiol Biomarkers Prev (2021) |
Reported Trait: Subsequent thyroid cancer in childhood cancer survivors aged 40 | — | AUROC: 0.83 C-index: 0.842 |
— | Clincial model (age at diagnosis, attained age modeled by restricted cubic splines, sex, combined treatment group) | — |
| PPM005184 | PGS001354 (PRS12_TC) |
PSS003602| European Ancestry| 6,416 individuals |
PGP000251 | Song N et al. Cancer Epidemiol Biomarkers Prev (2021) |
Reported Trait: Subsequent thyroid cancer in childhood cancer survivors aged 40 | — | AUROC: 0.73 C-index: 0.73 |
— | Clincial model (age at diagnosis, attained age modeled by restricted cubic splines, sex, combined treatment group) | — |
| PPM005185 | PGS001354 (PRS12_TC) |
PSS003603| European Ancestry| 2,370 individuals |
PGP000251 | Song N et al. Cancer Epidemiol Biomarkers Prev (2021) |
Reported Trait: Subsequent thyroid cancer in childhood cancer survivors aged 50 | — | AUROC: 0.82 C-index: 0.834 |
— | Clincial model (age at diagnosis, attained age modeled by restricted cubic splines, sex, combined treatment group) | — |
| PPM005186 | PGS001354 (PRS12_TC) |
PSS003602| European Ancestry| 6,416 individuals |
PGP000251 | Song N et al. Cancer Epidemiol Biomarkers Prev (2021) |
Reported Trait: Subsequent thyroid cancer in childhood cancer survivors aged 50 | — | AUROC: 0.72 C-index: 0.727 |
— | Clincial model (age at diagnosis, attained age modeled by restricted cubic splines, sex, combined treatment group) | — |
| PPM007467 | PGS000928 (GBE_HC644) |
PSS004560| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other non-toxic goitre | — | AUROC: 0.72128 [0.66829, 0.77427] | R²: 0.0605 Incremental AUROC (full-covars): 0.01397 PGS R2 (no covariates): 0.01481 PGS AUROC (no covariates): 0.60656 [0.54212, 0.67101] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007468 | PGS000928 (GBE_HC644) |
PSS004561| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other non-toxic goitre | — | AUROC: 0.6964 [0.60514, 0.78765] | R²: 0.04766 Incremental AUROC (full-covars): 0.00791 PGS R2 (no covariates): 0.00213 PGS AUROC (no covariates): 0.559 [0.46259, 0.65542] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007469 | PGS000928 (GBE_HC644) |
PSS004562| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other non-toxic goitre | — | AUROC: 0.71135 [0.68228, 0.74042] | R²: 0.0552 Incremental AUROC (full-covars): 0.0365 PGS R2 (no covariates): 0.01651 PGS AUROC (no covariates): 0.62112 [0.58564, 0.6566] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007470 | PGS000928 (GBE_HC644) |
PSS004563| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other non-toxic goitre | — | AUROC: 0.77727 [0.73439, 0.82016] | R²: 0.09335 Incremental AUROC (full-covars): 0.02392 PGS R2 (no covariates): 0.01984 PGS AUROC (no covariates): 0.62519 [0.56312, 0.68726] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007471 | PGS000928 (GBE_HC644) |
PSS004564| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other non-toxic goitre | — | AUROC: 0.72495 [0.70529, 0.74461] | R²: 0.05905 Incremental AUROC (full-covars): 0.03129 PGS R2 (no covariates): 0.01271 PGS AUROC (no covariates): 0.60048 [0.57499, 0.62598] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007649 | PGS000965 (GBE_HC219) |
PSS004354| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hypothyroidism/myxoedema | — | AUROC: 0.70914 [0.67391, 0.74437] | R²: 0.06732 Incremental AUROC (full-covars): 0.00847 PGS R2 (no covariates): 0.01005 PGS AUROC (no covariates): 0.58277 [0.54281, 0.62272] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007650 | PGS000965 (GBE_HC219) |
PSS004355| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hypothyroidism/myxoedema | — | AUROC: 0.68903 [0.61236, 0.7657] | R²: 0.05952 Incremental AUROC (full-covars): 0.01842 PGS R2 (no covariates): 0.01318 PGS AUROC (no covariates): 0.58777 [0.50589, 0.66966] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007651 | PGS000965 (GBE_HC219) |
PSS004356| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hypothyroidism/myxoedema | — | AUROC: 0.76462 [0.75294, 0.7763] | R²: 0.14559 Incremental AUROC (full-covars): 0.06544 PGS R2 (no covariates): 0.06844 PGS AUROC (no covariates): 0.68233 [0.66882, 0.69583] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007652 | PGS000965 (GBE_HC219) |
PSS004357| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hypothyroidism/myxoedema | — | AUROC: 0.74628 [0.72661, 0.76594] | R²: 0.13858 Incremental AUROC (full-covars): 0.03694 PGS R2 (no covariates): 0.04737 PGS AUROC (no covariates): 0.64507 [0.62236, 0.66778] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007653 | PGS000965 (GBE_HC219) |
PSS004358| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hypothyroidism/myxoedema | — | AUROC: 0.76828 [0.76142, 0.77515] | R²: 0.14978 Incremental AUROC (full-covars): 0.07249 PGS R2 (no covariates): 0.07271 PGS AUROC (no covariates): 0.68907 [0.68098, 0.69716] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007968 | PGS001042 (GBE_HC645) |
PSS004565| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE thyrotoxicosis [hyperthyroidism] | — | AUROC: 0.74292 [0.70274, 0.7831] | R²: 0.0808 Incremental AUROC (full-covars): -0.001 PGS R2 (no covariates): 0.00441 PGS AUROC (no covariates): 0.55406 [0.50519, 0.60292] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007969 | PGS001042 (GBE_HC645) |
PSS004566| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE thyrotoxicosis [hyperthyroidism] | — | AUROC: 0.64568 [0.56662, 0.72474] | R²: 0.04341 Incremental AUROC (full-covars): 0.0279 PGS R2 (no covariates): 0.02341 PGS AUROC (no covariates): 0.6179 [0.53755, 0.69825] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007970 | PGS001042 (GBE_HC645) |
PSS004567| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE thyrotoxicosis [hyperthyroidism] | — | AUROC: 0.69253 [0.66505, 0.72] | R²: 0.0468 Incremental AUROC (full-covars): 0.03643 PGS R2 (no covariates): 0.01594 PGS AUROC (no covariates): 0.61209 [0.58178, 0.6424] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007971 | PGS001042 (GBE_HC645) |
PSS004568| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE thyrotoxicosis [hyperthyroidism] | — | AUROC: 0.68899 [0.63846, 0.73951] | R²: 0.04589 Incremental AUROC (full-covars): 0.03955 PGS R2 (no covariates): 0.01668 PGS AUROC (no covariates): 0.60594 [0.54869, 0.66319] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007972 | PGS001042 (GBE_HC645) |
PSS004569| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE thyrotoxicosis [hyperthyroidism] | — | AUROC: 0.71296 [0.69708, 0.72884] | R²: 0.05914 Incremental AUROC (full-covars): 0.04673 PGS R2 (no covariates): 0.02359 PGS AUROC (no covariates): 0.63392 [0.61562, 0.65223] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007973 | PGS001043 (GBE_HC55) |
PSS004526| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hyperthyroidism/thyrotoxicosis | — | AUROC: 0.73999 [0.69812, 0.78186] | R²: 0.07663 Incremental AUROC (full-covars): -0.00598 PGS R2 (no covariates): 0.00164 PGS AUROC (no covariates): 0.53513 [0.48316, 0.5871] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007974 | PGS001043 (GBE_HC55) |
PSS004527| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hyperthyroidism/thyrotoxicosis | — | AUROC: 0.62359 [0.53601, 0.71117] | R²: 0.03132 Incremental AUROC (full-covars): 0.0205 PGS R2 (no covariates): 0.01311 PGS AUROC (no covariates): 0.58858 [0.50442, 0.67274] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007975 | PGS001043 (GBE_HC55) |
PSS004528| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hyperthyroidism/thyrotoxicosis | — | AUROC: 0.69729 [0.66674, 0.72784] | R²: 0.04646 Incremental AUROC (full-covars): 0.03676 PGS R2 (no covariates): 0.01638 PGS AUROC (no covariates): 0.61845 [0.58525, 0.65166] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007976 | PGS001043 (GBE_HC55) |
PSS004529| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hyperthyroidism/thyrotoxicosis | — | AUROC: 0.68797 [0.63675, 0.7392] | R²: 0.04145 Incremental AUROC (full-covars): 0.04372 PGS R2 (no covariates): 0.01807 PGS AUROC (no covariates): 0.60983 [0.54762, 0.67204] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007977 | PGS001043 (GBE_HC55) |
PSS004530| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hyperthyroidism/thyrotoxicosis | — | AUROC: 0.71366 [0.6965, 0.73082] | R²: 0.0566 Incremental AUROC (full-covars): 0.04641 PGS R2 (no covariates): 0.02158 PGS AUROC (no covariates): 0.6323 [0.61251, 0.6521] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008594 | PGS001181 (GBE_HC643) |
PSS004555| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other hypothyroidism | — | AUROC: 0.70862 [0.67381, 0.74343] | R²: 0.06703 Incremental AUROC (full-covars): 0.01118 PGS R2 (no covariates): 0.01121 PGS AUROC (no covariates): 0.58683 [0.5475, 0.62616] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008595 | PGS001181 (GBE_HC643) |
PSS004556| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other hypothyroidism | — | AUROC: 0.71469 [0.64687, 0.78251] | R²: 0.07343 Incremental AUROC (full-covars): 0.03489 PGS R2 (no covariates): 0.01956 PGS AUROC (no covariates): 0.60912 [0.53836, 0.67988] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008596 | PGS001181 (GBE_HC643) |
PSS004557| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other hypothyroidism | — | AUROC: 0.76338 [0.75207, 0.77469] | R²: 0.14671 Incremental AUROC (full-covars): 0.06656 PGS R2 (no covariates): 0.06971 PGS AUROC (no covariates): 0.68243 [0.66936, 0.69549] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008597 | PGS001181 (GBE_HC643) |
PSS004558| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other hypothyroidism | — | AUROC: 0.74011 [0.72045, 0.75977] | R²: 0.1348 Incremental AUROC (full-covars): 0.03883 PGS R2 (no covariates): 0.04904 PGS AUROC (no covariates): 0.6475 [0.62543, 0.66957] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008598 | PGS001181 (GBE_HC643) |
PSS004559| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other hypothyroidism | — | AUROC: 0.76691 [0.7602, 0.77362] | R²: 0.15134 Incremental AUROC (full-covars): 0.0729 PGS R2 (no covariates): 0.07419 PGS AUROC (no covariates): 0.68962 [0.68178, 0.69747] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009430 | PGS001816 (portability-PLR_244) |
PSS008614| European Ancestry| 6,601 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Partial Correlation (partial-r): 0.1003 [0.0763, 0.1241] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM008943 | PGS001289 (GBE_cancer1065) |
PSS007656| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Thyroid cancer | — | AUROC: 0.72837 [0.59989, 0.85685] | R²: 0.0395 Incremental AUROC (full-covars): 0.01385 PGS R2 (no covariates): 0.0141 PGS AUROC (no covariates): 0.6101 [0.46446, 0.75575] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008944 | PGS001289 (GBE_cancer1065) |
PSS007657| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Thyroid cancer | — | AUROC: 0.83233 [0.67782, 0.98683] | R²: 0.16699 Incremental AUROC (full-covars): -0.00184 PGS R2 (no covariates): 0.01024 PGS AUROC (no covariates): 0.54057 [0.24283, 0.83831] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008945 | PGS001289 (GBE_cancer1065) |
PSS007658| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Thyroid cancer | — | AUROC: 0.71465 [0.65621, 0.77309] | R²: 0.04643 Incremental AUROC (full-covars): 0.00897 PGS R2 (no covariates): 0.00455 PGS AUROC (no covariates): 0.55967 [0.48236, 0.63699] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008946 | PGS001289 (GBE_cancer1065) |
PSS007659| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Thyroid cancer | — | AUROC: 0.71171 [0.57425, 0.84917] | R²: 0.04277 Incremental AUROC (full-covars): 0.00229 PGS R2 (no covariates): 0.00022 PGS AUROC (no covariates): 0.51375 [0.35907, 0.66843] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008947 | PGS001289 (GBE_cancer1065) |
PSS007660| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Thyroid cancer | — | AUROC: 0.63744 [0.5901, 0.68478] | R²: 0.016 Incremental AUROC (full-covars): 0.03389 PGS R2 (no covariates): 0.01236 PGS AUROC (no covariates): 0.61843 [0.56413, 0.67273] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009374 | PGS001809 (portability-PLR_193) |
PSS009279| European Ancestry| 19,923 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyroid cancer | — | — | Partial Correlation (partial-r): 0.0307 [0.0168, 0.0446] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009377 | PGS001809 (portability-PLR_193) |
PSS008383| Greater Middle Eastern Ancestry| 1,197 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyroid cancer | — | — | Partial Correlation (partial-r): -0.0014 [-0.0586, 0.0557] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009378 | PGS001809 (portability-PLR_193) |
PSS008161| South Asian Ancestry| 6,305 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyroid cancer | — | — | Partial Correlation (partial-r): 0.0052 [-0.0195, 0.0299] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009379 | PGS001809 (portability-PLR_193) |
PSS007948| East Asian Ancestry| 1,801 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyroid cancer | — | — | Partial Correlation (partial-r): -0.0121 [-0.0585, 0.0344] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009380 | PGS001809 (portability-PLR_193) |
PSS007730| African Ancestry| 2,453 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyroid cancer | — | — | Partial Correlation (partial-r): 0.0102 [-0.0296, 0.0499] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009381 | PGS001809 (portability-PLR_193) |
PSS008833| African Ancestry| 3,896 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyroid cancer | — | — | Partial Correlation (partial-r): 0.0008 [-0.0307, 0.0323] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009413 | PGS001814 (portability-PLR_241.2) |
PSS009058| European Ancestry| 3,930 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Nontoxic multinodular goiter | — | — | Partial Correlation (partial-r): 0.0146 [-0.0168, 0.0459] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009414 | PGS001814 (portability-PLR_241.2) |
PSS008612| European Ancestry| 6,363 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Nontoxic multinodular goiter | — | — | Partial Correlation (partial-r): 0.0205 [-0.0041, 0.0451] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009415 | PGS001814 (portability-PLR_241.2) |
PSS008388| Greater Middle Eastern Ancestry| 1,140 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Nontoxic multinodular goiter | — | — | Partial Correlation (partial-r): 0.0211 [-0.0375, 0.0796] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009416 | PGS001814 (portability-PLR_241.2) |
PSS008166| South Asian Ancestry| 5,927 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Nontoxic multinodular goiter | — | — | Partial Correlation (partial-r): 0.0654 [0.0399, 0.0907] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009417 | PGS001814 (portability-PLR_241.2) |
PSS007953| East Asian Ancestry| 1,744 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Nontoxic multinodular goiter | — | — | Partial Correlation (partial-r): 0.025 [-0.0222, 0.0722] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009418 | PGS001814 (portability-PLR_241.2) |
PSS007734| African Ancestry| 2,378 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Nontoxic multinodular goiter | — | — | Partial Correlation (partial-r): 0.0403 [0.0, 0.0806] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009419 | PGS001814 (portability-PLR_241.2) |
PSS008837| African Ancestry| 3,830 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Nontoxic multinodular goiter | — | — | Partial Correlation (partial-r): 0.0442 [0.0125, 0.0759] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009420 | PGS001815 (portability-PLR_242) |
PSS009285| European Ancestry| 19,108 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyrotoxicosis with or without goiter | — | — | Partial Correlation (partial-r): 0.0191 [0.0049, 0.0332] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009421 | PGS001815 (portability-PLR_242) |
PSS009059| European Ancestry| 3,938 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyrotoxicosis with or without goiter | — | — | Partial Correlation (partial-r): 0.0288 [-0.0025, 0.06] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009422 | PGS001815 (portability-PLR_242) |
PSS008613| European Ancestry| 6,381 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyrotoxicosis with or without goiter | — | — | Partial Correlation (partial-r): 0.0232 [-0.0014, 0.0477] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009423 | PGS001815 (portability-PLR_242) |
PSS008389| Greater Middle Eastern Ancestry| 1,143 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyrotoxicosis with or without goiter | — | — | Partial Correlation (partial-r): -0.0026 [-0.0611, 0.0559] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009424 | PGS001815 (portability-PLR_242) |
PSS008167| South Asian Ancestry| 5,954 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyrotoxicosis with or without goiter | — | — | Partial Correlation (partial-r): 0.0473 [0.0219, 0.0726] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009425 | PGS001815 (portability-PLR_242) |
PSS007954| East Asian Ancestry| 1,754 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyrotoxicosis with or without goiter | — | — | Partial Correlation (partial-r): 0.0177 [-0.0294, 0.0647] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009426 | PGS001815 (portability-PLR_242) |
PSS007735| African Ancestry| 2,410 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyrotoxicosis with or without goiter | — | — | Partial Correlation (partial-r): -0.0007 [-0.0408, 0.0394] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009427 | PGS001815 (portability-PLR_242) |
PSS008838| African Ancestry| 3,836 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyrotoxicosis with or without goiter | — | — | Partial Correlation (partial-r): 0.0182 [-0.0135, 0.0499] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009428 | PGS001816 (portability-PLR_244) |
PSS009286| European Ancestry| 19,852 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Partial Correlation (partial-r): 0.1192 [0.1054, 0.1329] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009429 | PGS001816 (portability-PLR_244) |
PSS009060| European Ancestry| 4,100 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Partial Correlation (partial-r): 0.1349 [0.1047, 0.1649] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009431 | PGS001816 (portability-PLR_244) |
PSS008390| Greater Middle Eastern Ancestry| 1,186 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Partial Correlation (partial-r): 0.1247 [0.0677, 0.1808] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009432 | PGS001816 (portability-PLR_244) |
PSS008168| South Asian Ancestry| 6,272 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Partial Correlation (partial-r): 0.11 [0.0854, 0.1344] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009433 | PGS001816 (portability-PLR_244) |
PSS007955| East Asian Ancestry| 1,782 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Partial Correlation (partial-r): 0.044 [-0.0027, 0.0905] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009434 | PGS001816 (portability-PLR_244) |
PSS007736| African Ancestry| 2,434 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Partial Correlation (partial-r): 0.0033 [-0.0366, 0.0432] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011018 | PGS002018 (portability-ldpred2_193) |
PSS009279| European Ancestry| 19,923 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyroid cancer | — | — | Partial Correlation (partial-r): 0.0295 [0.0157, 0.0434] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011019 | PGS002018 (portability-ldpred2_193) |
PSS009053| European Ancestry| 4,120 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyroid cancer | — | — | Partial Correlation (partial-r): -0.0056 [-0.0362, 0.0251] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011020 | PGS002018 (portability-ldpred2_193) |
PSS008607| European Ancestry| 6,640 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyroid cancer | — | — | Partial Correlation (partial-r): 0.0208 [-0.0033, 0.0448] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011021 | PGS002018 (portability-ldpred2_193) |
PSS008383| Greater Middle Eastern Ancestry| 1,197 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyroid cancer | — | — | Partial Correlation (partial-r): -0.0107 [-0.0677, 0.0465] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011022 | PGS002018 (portability-ldpred2_193) |
PSS008161| South Asian Ancestry| 6,305 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyroid cancer | — | — | Partial Correlation (partial-r): 0.0149 [-0.0098, 0.0396] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011023 | PGS002018 (portability-ldpred2_193) |
PSS007948| East Asian Ancestry| 1,801 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyroid cancer | — | — | Partial Correlation (partial-r): -0.004 [-0.0505, 0.0424] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011024 | PGS002018 (portability-ldpred2_193) |
PSS007730| African Ancestry| 2,453 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyroid cancer | — | — | Partial Correlation (partial-r): 0.0184 [-0.0213, 0.0581] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011025 | PGS002018 (portability-ldpred2_193) |
PSS008833| African Ancestry| 3,896 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyroid cancer | — | — | Partial Correlation (partial-r): 0.0029 [-0.0286, 0.0343] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011050 | PGS002022 (portability-ldpred2_241.2) |
PSS009284| European Ancestry| 19,043 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Nontoxic multinodular goiter | — | — | Partial Correlation (partial-r): 0.024 [0.0098, 0.0382] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011051 | PGS002022 (portability-ldpred2_241.2) |
PSS009058| European Ancestry| 3,930 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Nontoxic multinodular goiter | — | — | Partial Correlation (partial-r): 0.0213 [-0.01, 0.0527] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011052 | PGS002022 (portability-ldpred2_241.2) |
PSS008612| European Ancestry| 6,363 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Nontoxic multinodular goiter | — | — | Partial Correlation (partial-r): 0.019 [-0.0056, 0.0436] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011053 | PGS002022 (portability-ldpred2_241.2) |
PSS008388| Greater Middle Eastern Ancestry| 1,140 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Nontoxic multinodular goiter | — | — | Partial Correlation (partial-r): 0.0214 [-0.0372, 0.0799] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011054 | PGS002022 (portability-ldpred2_241.2) |
PSS008166| South Asian Ancestry| 5,927 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Nontoxic multinodular goiter | — | — | Partial Correlation (partial-r): 0.0677 [0.0423, 0.0931] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011055 | PGS002022 (portability-ldpred2_241.2) |
PSS007953| East Asian Ancestry| 1,744 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Nontoxic multinodular goiter | — | — | Partial Correlation (partial-r): 0.0096 [-0.0376, 0.0568] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011056 | PGS002022 (portability-ldpred2_241.2) |
PSS007734| African Ancestry| 2,378 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Nontoxic multinodular goiter | — | — | Partial Correlation (partial-r): 0.0282 [-0.0122, 0.0685] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011057 | PGS002022 (portability-ldpred2_241.2) |
PSS008837| African Ancestry| 3,830 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Nontoxic multinodular goiter | — | — | Partial Correlation (partial-r): 0.0496 [0.0179, 0.0813] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011058 | PGS002023 (portability-ldpred2_242) |
PSS009285| European Ancestry| 19,108 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyrotoxicosis with or without goiter | — | — | Partial Correlation (partial-r): 0.0199 [0.0057, 0.034] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011059 | PGS002023 (portability-ldpred2_242) |
PSS009059| European Ancestry| 3,938 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyrotoxicosis with or without goiter | — | — | Partial Correlation (partial-r): 0.0345 [0.0032, 0.0658] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011060 | PGS002023 (portability-ldpred2_242) |
PSS008613| European Ancestry| 6,381 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyrotoxicosis with or without goiter | — | — | Partial Correlation (partial-r): 0.0195 [-0.0051, 0.044] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011061 | PGS002023 (portability-ldpred2_242) |
PSS008389| Greater Middle Eastern Ancestry| 1,143 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyrotoxicosis with or without goiter | — | — | Partial Correlation (partial-r): -0.0281 [-0.0864, 0.0305] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011062 | PGS002023 (portability-ldpred2_242) |
PSS008167| South Asian Ancestry| 5,954 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyrotoxicosis with or without goiter | — | — | Partial Correlation (partial-r): 0.0457 [0.0203, 0.0711] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011063 | PGS002023 (portability-ldpred2_242) |
PSS007954| East Asian Ancestry| 1,754 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyrotoxicosis with or without goiter | — | — | Partial Correlation (partial-r): 0.039 [-0.0081, 0.0859] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011064 | PGS002023 (portability-ldpred2_242) |
PSS007735| African Ancestry| 2,410 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyrotoxicosis with or without goiter | — | — | Partial Correlation (partial-r): 0.0027 [-0.0374, 0.0428] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011066 | PGS002024 (portability-ldpred2_244) |
PSS009286| European Ancestry| 19,852 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Partial Correlation (partial-r): 0.122 [0.1083, 0.1357] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011067 | PGS002024 (portability-ldpred2_244) |
PSS009060| European Ancestry| 4,100 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Partial Correlation (partial-r): 0.143 [0.1128, 0.1729] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011068 | PGS002024 (portability-ldpred2_244) |
PSS008614| European Ancestry| 6,601 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Partial Correlation (partial-r): 0.1035 [0.0795, 0.1273] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011069 | PGS002024 (portability-ldpred2_244) |
PSS008390| Greater Middle Eastern Ancestry| 1,186 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Partial Correlation (partial-r): 0.133 [0.0762, 0.189] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011070 | PGS002024 (portability-ldpred2_244) |
PSS008168| South Asian Ancestry| 6,272 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Partial Correlation (partial-r): 0.1186 [0.094, 0.1429] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011071 | PGS002024 (portability-ldpred2_244) |
PSS007955| East Asian Ancestry| 1,782 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Partial Correlation (partial-r): 0.047 | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011072 | PGS002024 (portability-ldpred2_244) |
PSS007736| African Ancestry| 2,434 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Partial Correlation (partial-r): 0.0093 [-0.0306, 0.0492] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011073 | PGS002024 (portability-ldpred2_244) |
PSS008839| African Ancestry| 3,876 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Partial Correlation (partial-r): 0.0396 [0.0081, 0.0711] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009375 | PGS001809 (portability-PLR_193) |
PSS009053| European Ancestry| 4,120 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyroid cancer | — | — | Partial Correlation (partial-r): -0.0082 [-0.0388, 0.0225] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009376 | PGS001809 (portability-PLR_193) |
PSS008607| European Ancestry| 6,640 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyroid cancer | — | — | Partial Correlation (partial-r): 0.0196 [-0.0045, 0.0437] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009412 | PGS001814 (portability-PLR_241.2) |
PSS009284| European Ancestry| 19,043 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Nontoxic multinodular goiter | — | — | Partial Correlation (partial-r): 0.0277 [0.0135, 0.0419] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009435 | PGS001816 (portability-PLR_244) |
PSS008839| African Ancestry| 3,876 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Partial Correlation (partial-r): 0.0419 [0.0104, 0.0734] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011065 | PGS002023 (portability-ldpred2_242) |
PSS008838| African Ancestry| 3,836 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Thyrotoxicosis with or without goiter | — | — | Partial Correlation (partial-r): 0.0172 [-0.0146, 0.0489] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM017146 | PGS000207 (TC10_Ohio) |
PSS010136| European Ancestry| 264,956 individuals |
PGP000439 | Feng X et al. JAMA Netw Open (2022) |Ext. |
Reported Trait: Thyroid cancer | HR: 1.74 [1.56, 1.94] | AUROC: 0.62 [0.59, 0.64] | — | age, sex, and genetic composition, townsend deprivation index at recruitment, qualifications and average total household income before tax | — |
| PPM017148 | PGS003437 (PRS23_TC) |
PSS010136| European Ancestry| 264,956 individuals |
PGP000439 | Feng X et al. JAMA Netw Open (2022) |
Reported Trait: Incident thyroid cancer x total moderate to vigorous physical activity interaction | HR: 0.74 [0.57, 0.97] | — | — | age, sex, and genetic composition, townsend deprivation index at recruitment, qualifications and average total household income before tax | — |
| PPM017149 | PGS003437 (PRS23_TC) |
PSS010136| European Ancestry| 264,956 individuals |
PGP000439 | Feng X et al. JAMA Netw Open (2022) |
Reported Trait: Incident thyroid cancer x smoke intake interaction | HR: 0.48 [0.32, 0.72] | — | — | age, sex, and genetic composition, townsend deprivation index at recruitment, qualifications and average total household income before tax | — |
| PPM017145 | PGS003437 (PRS23_TC) |
PSS010136| European Ancestry| 264,956 individuals |
PGP000439 | Feng X et al. JAMA Netw Open (2022) |
Reported Trait: Thyroid cancer | HR: 1.95 [1.68, 2.26] | AUROC: 0.64 [0.61, 66.0] | — | age, sex, and genetic composition, townsend deprivation index at recruitment, qualifications and average total household income before tax | — |
| PPM017147 | PGS003437 (PRS23_TC) |
PSS010136| European Ancestry| 264,956 individuals |
PGP000439 | Feng X et al. JAMA Netw Open (2022) |
Reported Trait: Incident thyroid cancer x healthy lifestyle interaction | HR: 0.52 [0.37, 0.73] | — | — | age, sex, and genetic composition, townsend deprivation index at recruitment, qualifications and average total household income before tax | — |
| PPM009315 | PGS001799 (1kgeur_gbmi_ThC_pst_eff_a1_b0.5_phiauto) |
PSS007697| European Ancestry| 7,128 individuals |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Reported Trait: Thyroid cancer | — | AUROC: 0.685 | Nagelkerke's R2 (covariates regressed out): 0.01036 | sex,age, 20PCs | — |
| PPM009298 | PGS001794 (1kgeur_gbmi_leaveUKBBout_ThC_pst_eff_a1_b0.5_phiauto) |
PSS007717| European Ancestry| 358,476 individuals |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Reported Trait: Thyroid cancer | — | AUROC: 0.676 | Nagelkerke's R2 (covariates regressed out): 0.01366 | sex,age,age2,age*sex,age^2*sex, 20PCs | — |
| PPM014966 | PGS002766 (Hypothyroidism_prscs) |
PSS009939| European Ancestry| 39,444 individuals |
PGP000364 | Mars N et al. Am J Hum Genet (2022) |
Reported Trait: Hypothyroidism | OR: 1.47 [1.43, 1.52] | — | — | age, sex, 10 PCs, technical covariates | — |
| PPM013404 | PGS002423 (disease_THYROID_ANY_SELF_REP.P+T.0.0001) |
PSS009847| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Thyroid | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013101 | PGS002336 (disease_HYPOTHYROIDISM_SELF_REP.BOLT-LMM) |
PSS009787| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0045 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013116 | PGS002351 (disease_THYROID_ANY_SELF_REP.BOLT-LMM) |
PSS009847| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Thyroid | — | — | Incremental R2 (full model vs. covariates alone): 0.0032 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013150 | PGS002336 (disease_HYPOTHYROIDISM_SELF_REP.BOLT-LMM) |
PSS009788| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0111 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013165 | PGS002351 (disease_THYROID_ANY_SELF_REP.BOLT-LMM) |
PSS009848| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Thyroid | — | — | Incremental R2 (full model vs. covariates alone): 0.0016 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013214 | PGS002351 (disease_THYROID_ANY_SELF_REP.BOLT-LMM) |
PSS009849| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Thyroid | — | — | Incremental R2 (full model vs. covariates alone): 0.0236 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013248 | PGS002336 (disease_HYPOTHYROIDISM_SELF_REP.BOLT-LMM) |
PSS009790| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0173 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013389 | PGS002408 (disease_HYPOTHYROIDISM_SELF_REP.P+T.0.0001) |
PSS009787| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0002 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013438 | PGS002408 (disease_HYPOTHYROIDISM_SELF_REP.P+T.0.0001) |
PSS009788| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013453 | PGS002423 (disease_THYROID_ANY_SELF_REP.P+T.0.0001) |
PSS009848| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Thyroid | — | — | Incremental R2 (full model vs. covariates alone): 0.0004 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013487 | PGS002408 (disease_HYPOTHYROIDISM_SELF_REP.P+T.0.0001) |
PSS009789| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0003 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013502 | PGS002423 (disease_THYROID_ANY_SELF_REP.P+T.0.0001) |
PSS009849| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Thyroid | — | — | Incremental R2 (full model vs. covariates alone): 0.0005 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013536 | PGS002408 (disease_HYPOTHYROIDISM_SELF_REP.P+T.0.0001) |
PSS009790| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013551 | PGS002423 (disease_THYROID_ANY_SELF_REP.P+T.0.0001) |
PSS009850| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Thyroid | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013585 | PGS002457 (disease_HYPOTHYROIDISM_SELF_REP.P+T.0.001) |
PSS009787| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013600 | PGS002472 (disease_THYROID_ANY_SELF_REP.P+T.0.001) |
PSS009847| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Thyroid | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013634 | PGS002457 (disease_HYPOTHYROIDISM_SELF_REP.P+T.0.001) |
PSS009788| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013649 | PGS002472 (disease_THYROID_ANY_SELF_REP.P+T.0.001) |
PSS009848| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Thyroid | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013683 | PGS002457 (disease_HYPOTHYROIDISM_SELF_REP.P+T.0.001) |
PSS009789| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013698 | PGS002472 (disease_THYROID_ANY_SELF_REP.P+T.0.001) |
PSS009849| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Thyroid | — | — | Incremental R2 (full model vs. covariates alone): 0.0002 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013732 | PGS002457 (disease_HYPOTHYROIDISM_SELF_REP.P+T.0.001) |
PSS009790| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013747 | PGS002472 (disease_THYROID_ANY_SELF_REP.P+T.0.001) |
PSS009850| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Thyroid | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013781 | PGS002506 (disease_HYPOTHYROIDISM_SELF_REP.P+T.0.01) |
PSS009787| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013796 | PGS002521 (disease_THYROID_ANY_SELF_REP.P+T.0.01) |
PSS009847| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Thyroid | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013830 | PGS002506 (disease_HYPOTHYROIDISM_SELF_REP.P+T.0.01) |
PSS009788| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013845 | PGS002521 (disease_THYROID_ANY_SELF_REP.P+T.0.01) |
PSS009848| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Thyroid | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013879 | PGS002506 (disease_HYPOTHYROIDISM_SELF_REP.P+T.0.01) |
PSS009789| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0002 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013894 | PGS002521 (disease_THYROID_ANY_SELF_REP.P+T.0.01) |
PSS009849| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Thyroid | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013928 | PGS002506 (disease_HYPOTHYROIDISM_SELF_REP.P+T.0.01) |
PSS009790| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013943 | PGS002521 (disease_THYROID_ANY_SELF_REP.P+T.0.01) |
PSS009850| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Thyroid | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013992 | PGS002570 (disease_THYROID_ANY_SELF_REP.P+T.1e-06) |
PSS009847| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Thyroid | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014026 | PGS002555 (disease_HYPOTHYROIDISM_SELF_REP.P+T.1e-06) |
PSS009788| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014041 | PGS002570 (disease_THYROID_ANY_SELF_REP.P+T.1e-06) |
PSS009848| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Thyroid | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014075 | PGS002555 (disease_HYPOTHYROIDISM_SELF_REP.P+T.1e-06) |
PSS009789| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0012 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014090 | PGS002570 (disease_THYROID_ANY_SELF_REP.P+T.1e-06) |
PSS009849| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Thyroid | — | — | Incremental R2 (full model vs. covariates alone): 0.0008 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014124 | PGS002555 (disease_HYPOTHYROIDISM_SELF_REP.P+T.1e-06) |
PSS009790| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014139 | PGS002570 (disease_THYROID_ANY_SELF_REP.P+T.1e-06) |
PSS009850| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Thyroid | — | — | Incremental R2 (full model vs. covariates alone): 0.0002 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014173 | PGS002604 (disease_HYPOTHYROIDISM_SELF_REP.P+T.5e-08) |
PSS009787| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014188 | PGS002619 (disease_THYROID_ANY_SELF_REP.P+T.5e-08) |
PSS009847| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Thyroid | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014222 | PGS002604 (disease_HYPOTHYROIDISM_SELF_REP.P+T.5e-08) |
PSS009788| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014237 | PGS002619 (disease_THYROID_ANY_SELF_REP.P+T.5e-08) |
PSS009848| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Thyroid | — | — | Incremental R2 (full model vs. covariates alone): 0.0008 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014271 | PGS002604 (disease_HYPOTHYROIDISM_SELF_REP.P+T.5e-08) |
PSS009789| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0015 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014286 | PGS002619 (disease_THYROID_ANY_SELF_REP.P+T.5e-08) |
PSS009849| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Thyroid | — | — | Incremental R2 (full model vs. covariates alone): 0.0012 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014320 | PGS002604 (disease_HYPOTHYROIDISM_SELF_REP.P+T.5e-08) |
PSS009790| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014335 | PGS002619 (disease_THYROID_ANY_SELF_REP.P+T.5e-08) |
PSS009850| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Thyroid | — | — | Incremental R2 (full model vs. covariates alone): 0.0003 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014369 | PGS002653 (disease_HYPOTHYROIDISM_SELF_REP.PolyFun-pred) |
PSS009787| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0046 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_HYPOTHYROIDISM_SELF_REP.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014384 | PGS002668 (disease_THYROID_ANY_SELF_REP.PolyFun-pred) |
PSS009847| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Thyroid | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0034 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_THYROID_ANY_SELF_REP.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014418 | PGS002653 (disease_HYPOTHYROIDISM_SELF_REP.PolyFun-pred) |
PSS009788| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0129 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_HYPOTHYROIDISM_SELF_REP.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014433 | PGS002668 (disease_THYROID_ANY_SELF_REP.PolyFun-pred) |
PSS009848| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Thyroid | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0034 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_THYROID_ANY_SELF_REP.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014565 | PGS002702 (disease_HYPOTHYROIDISM_SELF_REP.SBayesR) |
PSS009787| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0043 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014467 | PGS002653 (disease_HYPOTHYROIDISM_SELF_REP.PolyFun-pred) |
PSS009789| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0262 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_HYPOTHYROIDISM_SELF_REP.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014482 | PGS002668 (disease_THYROID_ANY_SELF_REP.PolyFun-pred) |
PSS009849| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Thyroid | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0254 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_THYROID_ANY_SELF_REP.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014516 | PGS002653 (disease_HYPOTHYROIDISM_SELF_REP.PolyFun-pred) |
PSS009790| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0183 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_HYPOTHYROIDISM_SELF_REP.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014531 | PGS002668 (disease_THYROID_ANY_SELF_REP.PolyFun-pred) |
PSS009850| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Thyroid | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0186 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_THYROID_ANY_SELF_REP.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014580 | PGS002717 (disease_THYROID_ANY_SELF_REP.SBayesR) |
PSS009847| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Thyroid | — | — | Incremental R2 (full model vs. covariates alone): 0.0031 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014614 | PGS002702 (disease_HYPOTHYROIDISM_SELF_REP.SBayesR) |
PSS009788| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0117 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014629 | PGS002717 (disease_THYROID_ANY_SELF_REP.SBayesR) |
PSS009848| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Thyroid | — | — | Incremental R2 (full model vs. covariates alone): 0.003 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014663 | PGS002702 (disease_HYPOTHYROIDISM_SELF_REP.SBayesR) |
PSS009789| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0206 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014678 | PGS002717 (disease_THYROID_ANY_SELF_REP.SBayesR) |
PSS009849| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Thyroid | — | — | Incremental R2 (full model vs. covariates alone): 0.0192 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013199 | PGS002336 (disease_HYPOTHYROIDISM_SELF_REP.BOLT-LMM) |
PSS009789| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0247 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013263 | PGS002351 (disease_THYROID_ANY_SELF_REP.BOLT-LMM) |
PSS009850| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Thyroid | — | — | Incremental R2 (full model vs. covariates alone): 0.0191 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014727 | PGS002717 (disease_THYROID_ANY_SELF_REP.SBayesR) |
PSS009850| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Thyroid | — | — | Incremental R2 (full model vs. covariates alone): 0.0155 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013977 | PGS002555 (disease_HYPOTHYROIDISM_SELF_REP.P+T.1e-06) |
PSS009787| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014712 | PGS002702 (disease_HYPOTHYROIDISM_SELF_REP.SBayesR) |
PSS009790| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (full model vs. covariates alone): 0.0139 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM018502 | PGS003746 (PRS11_TC) |
PSS010996| European Ancestry| 360 individuals |
PGP000470 | Xin J et al. EBioMedicine (2023) |
Reported Trait: Thyroid cancer | OR: 1.63 [1.44, 1.85] | — | — | — | — |
| PPM020561 | PGS004446 (disease.E03.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: E03 (Other hypothyroidism) | OR: 1.47851 | — | — | — | — |
| PPM020631 | PGS004516 (meta.E03.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: E03 (Other hypothyroidism) | OR: 1.49623 | — | — | — | — |
| PPM021014 | PGS004789 (hypothyroid_PRSmix_eur) |
PSS011465| European Ancestry| 9,462 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (Full model versus model with only covariates): 0.041 [0.033, 0.049] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021015 | PGS004790 (hypothyroid_PRSmixPlus_eur) |
PSS011465| European Ancestry| 9,462 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Hypothyroidism | — | — | Incremental R2 (Full model versus model with only covariates): 0.042 [0.034, 0.05] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021099 | PGS000630 (PRSWEB_PHECODE193_GWAS-Catalog-r2019-05-03-X193_P_5e-08_MGI_20200608) |
PSS011527| Multi-ancestry (including European)| 359 individuals |
PGP000610 | Wang JR et al. J Clin Endocrinol Metab (2023) |Ext. |
Reported Trait: BRAFV600E tumor driver subtype in individuals with papillary thyroid carcinoma | OR: 1.51 [1.09, 2.08] | — | — | — | — |
| PPM021723 | PGS004935 (hypothyroidism_snpnet_combined) |
PSS011762| European Ancestry| 8,417 individuals |
PGP000665 | Moreno-Grau S et al. Human Genomics (2024) |
Reported Trait: Hypothyroidism | OR: 1.5 [1.41, 1.6] | AUROC: 0.7 | — | — | — |
| PPM021769 | PGS004954 (PRS26_TC) |
PSS011791| Multi-ancestry (including European)| 73,346 individuals |
PGP000676 | Pozdeyev N et al. J Clin Endocrinol Metab (2024) |
Reported Trait: Thyroid cancer | — | AUROC: 0.7 | — | Age, sex, genotyping batch, 10 PCs | — |
| PPM022587 | PGS005210 (Thyroid_PRS) |
PSS012024| European Ancestry| 11,220 individuals |
PGP000729 | Gibson TM et al. Nat Med (2024) |
Reported Trait: Risk of thyroid cancer in childhood cancer survivors | OR: 1.48 [1.31, 1.67] | — | — | childhood cancer diagnosis, ancestry, age at childhood cancer diagnosis, radiation dose to the body region of the second cancer and chemotherapy exposure | — |
| PPM022613 | PGS005218 (prsweights_hypothyroidism_excl23) |
PSS012042| European Ancestry| 441,692 individuals |
PGP000733 | Rand SA et al. Nat Genet (2025) |
Reported Trait: Hypothyroidism | OR: 2.01 [1.99, 2.03] | — | — | age, sex, PC1, PC2, PC3, PC4 | Evaluated in UKB for both incident and prevalent hypothyroidism |
| PPM022614 | PGS005218 (prsweights_hypothyroidism_excl23) |
PSS012042| European Ancestry| 441,692 individuals |
PGP000733 | Rand SA et al. Nat Genet (2025) |
Reported Trait: Hypothyroidism | OR: 2.0 [1.95, 2.17] | — | — | age, sex, PC1, PC2, PC3, PC4 | Evaluated in GESUS for both incident and prevalent hypothyroidism |
| PPM022615 | PGS005218 (prsweights_hypothyroidism_excl23) |
PSS012042| European Ancestry| 441,692 individuals |
PGP000733 | Rand SA et al. Nat Genet (2025) |
Reported Trait: Incident hypothyroidism | — | AUROC: 0.698 [0.693, 0.703] | — | age, sex, PC1, PC2, PC3, PC4 | Evaluated in UKB for only incident hypothyroidism |
| PPM022617 | PGS005218 (prsweights_hypothyroidism_excl23) |
PSS012042| European Ancestry| 441,692 individuals |
PGP000733 | Rand SA et al. Nat Genet (2025) |
Reported Trait: Incident hypothyroidism | — | AUROC: 0.859 [0.821, 0.897] | — | age, sex, TSH, T4, anti-TPO, PC1, PC2, PC3, PC4 | Evaluated in GESUS which measured anti-TPO and thyroid hormones at baseline. Prevalent hypothyroidism was excluded |
| PPM022618 | PGS005218 (prsweights_hypothyroidism_excl23) |
PSS012042| European Ancestry| 441,692 individuals |
PGP000733 | Rand SA et al. Nat Genet (2025) |
Reported Trait: Incident hypothyroidism among anti-TPO negative individuals (anti-TPO < 100 U/mL) | — | — | Hazard ratio (HR, high vs middle percentile): 1.97 [1.06, 3.68] | age, sex, PC1, PC2, PC3, PC4 | Evaluated in GESUS which measured anti-TPO and thyroid hormones at baseline. Only individuals with anti-TPO < 100 u/mL were considered for this analysis. Prevalent hypothyroidism was excluded |
| PPM022741 | PGS005258 (thyroid_cancer_mixed_pt) |
PSS012069| Multi-ancestry (including European)| 94,651 individuals |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Reported Trait: thyroid carcenoma | OR: 1.02 β: 0.016 |
AUROC: 0.68616 | — | — | — |
| PPM022742 | PGS005259 (thyroid_cancer_mixed_prscs) |
PSS012069| Multi-ancestry (including European)| 94,651 individuals |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Reported Trait: thyroid carcenoma | OR: 2.03689 β: 0.71142 |
AUROC: 0.69525 | — | — | — |
| PPM022743 | PGS005260 (thyroid_cancer_eur_prscs) |
PSS012069| Multi-ancestry (including European)| 94,651 individuals |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Reported Trait: thyroid carcenoma | OR: 1.96019 β: 0.67304 |
AUROC: 0.68452 | — | — | — |
| PPM022744 | PGS005261 (benign_nodular_goiter_mixed_pt) |
PSS012069| Multi-ancestry (including European)| 94,651 individuals |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Reported Trait: benign nodular gioter | OR: 1.048 β: 0.047 |
AUROC: 0.58544 | — | — | — |
| PPM022745 | PGS005262 (benign_nodular_goiter_mixed_prscs) |
PSS012069| Multi-ancestry (including European)| 94,651 individuals |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Reported Trait: benign nodular gioter | OR: 1.40839 β: 0.34244 |
AUROC: 0.59331 | — | — | — |
| PPM022746 | PGS005263 (benign_nodular_goiter_eur_prscs) |
PSS012069| Multi-ancestry (including European)| 94,651 individuals |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Reported Trait: benign nodular gioter | OR: 1.362 β: 0.30895 |
AUROC: 0.58756 | — | — | — |
| PPM022747 | PGS005264 (graves_disease_mixed_pt) |
PSS012069| Multi-ancestry (including European)| 94,651 individuals |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Reported Trait: graves' disease | OR: 1.008 β: 0.008 |
AUROC: 0.6587 | — | — | — |
| PPM022748 | PGS005265 (graves_disease_mixed_prscs) |
PSS012069| Multi-ancestry (including European)| 94,651 individuals |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Reported Trait: graves' disease | OR: 1.62508 β: 0.48556 |
AUROC: 0.66522 | — | — | — |
| PPM022749 | PGS005266 (graves_disease_eur_prscs) |
PSS012069| Multi-ancestry (including European)| 94,651 individuals |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Reported Trait: graves' disease | OR: 1.54333 β: 0.43394 |
AUROC: 0.66373 | — | — | — |
| PPM022750 | PGS005267 (hypothyroidism_mixed_pt) |
PSS012069| Multi-ancestry (including European)| 94,651 individuals |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Reported Trait: hypothyroidism | OR: 1.142 β: 0.133 |
AUROC: 0.64 | — | — | — |
| PPM022751 | PGS005268 (hypothyroidism_mixed_prscs) |
PSS012069| Multi-ancestry (including European)| 94,651 individuals |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Reported Trait: hypothyroidism | OR: 1.65809 β: 0.50567 |
AUROC: 0.63892 | — | — | — |
| PPM022752 | PGS005269 (hypothyroidism_eur_prscs) |
PSS012069| Multi-ancestry (including European)| 94,651 individuals |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Reported Trait: hypothyroidism | OR: 1.6521 β: 0.50205 |
AUROC: 0.63863 | — | — | — |
| PPM022753 | PGS005270 (lymphocytic_thyroiditis_mixed_pt) |
PSS012069| Multi-ancestry (including European)| 94,651 individuals |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Reported Trait: lymphocytic thyroiditis | OR: 1.037 β: 0.037 |
AUROC: 0.63868 | — | — | — |
| PPM022754 | PGS005271 (lymphocytic_thyroiditis_mixed_prscs) |
PSS012069| Multi-ancestry (including European)| 94,651 individuals |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Reported Trait: lymphocytic thyroiditis | OR: 1.54908 β: 0.43766 |
AUROC: 0.62973 | — | — | — |
| PPM022755 | PGS005272 (lymphocytic_thyroiditis_eur_prscs) |
PSS012069| Multi-ancestry (including European)| 94,651 individuals |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Reported Trait: lymphocytic thyroiditis | OR: 1.41698 β: 0.34853 |
AUROC: 0.60542 | — | — | — |
| PPM022756 | PGS005273 (tc_vs_bng_mixed_prscs) |
PSS012069| Multi-ancestry (including European)| 94,651 individuals |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Reported Trait: thyroid carcenoma vs benign nodular goiter | OR: 1.55052 β: 0.43859 |
AUROC: 0.61739 | — | — | — |
| PPM022757 | PGS005274 (tc_vs_bng_eur_prscs) |
PSS012069| Multi-ancestry (including European)| 94,651 individuals |
PGP000748 | White SL et al. medRxiv (2025) |Pre |
Reported Trait: thyroid carcenoma vs benign nodular goiter | OR: 1.49346 β: 0.4011 |
AUROC: 0.61349 | — | — | — |
| PPM022616 | PGS005218 (prsweights_hypothyroidism_excl23) |
PSS012042| European Ancestry| 441,692 individuals |
PGP000733 | Rand SA et al. Nat Genet (2025) |
Reported Trait: Progression from subclinical to overt hypothyroidism | — | — | Hazard ratio (HR, high vs middle percentile): 1.43 [1.37, 1.61] | age, sex, PC1, PC2, PC3, PC4 | Evaluated in UKB primary care date, only in individuals that developed subclinical hypothyroidism after enrollment to UKB. Prevalent hypothyroidism was excluded |
| PPM030751 | PGS000797 (CC_Thyroid_IV) |
PSS012279| East Asian Ancestry| 4,063 individuals |
PGP000821 | Chen YH et al. J Endocr Soc (2024) |Ext. |
Reported Trait: Thyroid cancer | — | — | Hazard ratio (HR, high vs low tertile): 1.151 [1.053, 1.258] | — | — |
| PPM030752 | PGS000087 (CC_Thyroid) |
PSS012279| East Asian Ancestry| 4,063 individuals |
PGP000821 | Chen YH et al. J Endocr Soc (2024) |Ext. |
Reported Trait: Thyroid cancer | — | — | Hazard ratio (HR, high vs low tertile): 1.147 [1.049, 1.254] | — | — |
| PPM036763 | PGS018581 (TPMI_193_LDpred2) |
PSS012482| East Asian Ancestry| 19,578 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Thyroid cancer | — | AUROC: 0.75147 | R²: 0.0477 | sex, age, array, PCs 1-10 | — |
| PPM036764 | PGS018582 (TPMI_193_MegaPRS) |
PSS012484| East Asian Ancestry| 19,578 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Thyroid cancer | — | AUROC: 0.73612 | R²: 0.04103 | sex, age, array, PCs 1-10 | — |
| PPM036819 | PGS018637 (TPMI_226_MegaPRS) |
PSS012539| East Asian Ancestry| 19,294 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Benign neoplasm of thyroid glands | — | AUROC: 0.71459 | R²: 0.01105 | sex, age, array, PCs 1-10 | — |
| PPM036820 | PGS018638 (TPMI_226_PRS-CS) |
PSS012540| East Asian Ancestry| 19,294 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Benign neoplasm of thyroid glands | — | AUROC: 0.71768 | R²: 0.01154 | sex, age, array, PCs 1-10 | — |
| PPM036827 | PGS018645 (TPMI_240_Lassosum2) |
PSS012548| East Asian Ancestry| 17,951 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Simple and unspecified goiter | — | AUROC: 0.73884 | R²: 0.11531 | sex, age, array, PCs 1-10 | — |
| PPM036829 | PGS018647 (TPMI_240_MegaPRS) |
PSS012549| East Asian Ancestry| 17,951 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Simple and unspecified goiter | — | AUROC: 0.72951 | R²: 0.1052 | sex, age, array, PCs 1-10 | — |
| PPM036832 | PGS018650 (TPMI_241_Lassosum2) |
PSS012563| East Asian Ancestry| 18,285 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Nontoxic nodular goiter | — | AUROC: 0.73122 | R²: 0.12994 | sex, age, array, PCs 1-10 | — |
| PPM036834 | PGS018652 (TPMI_241_MegaPRS) |
PSS012564| East Asian Ancestry| 18,285 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Nontoxic nodular goiter | — | AUROC: 0.72435 | R²: 0.11874 | sex, age, array, PCs 1-10 | — |
| PPM036836 | PGS018654 (TPMI_241_SBayesR) |
PSS012566| East Asian Ancestry| 18,285 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Nontoxic nodular goiter | — | AUROC: 0.73414 | R²: 0.13319 | sex, age, array, PCs 1-10 | — |
| PPM036840 | PGS018658 (TPMI_241.1_PRS-CS) |
PSS012555| East Asian Ancestry| 17,269 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Nontoxic uninodular goiter | — | AUROC: 0.71517 | R²: 0.01683 | sex, age, array, PCs 1-10 | — |
| PPM036851 | PGS018669 (TPMI_242_PRSmix+) |
PSS012577| East Asian Ancestry| 17,798 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Thyrotoxicosis with or without goiter | — | AUROC: 0.78294 | R²: 0.16131 | sex, age, array, PCs 1-10 | — |
| PPM036853 | PGS018671 (TPMI_242.1_Lassosum2) |
PSS012568| East Asian Ancestry| 17,305 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Graves disease | — | AUROC: 0.74792 | R²: 0.03286 | sex, age, array, PCs 1-10 | — |
| PPM036855 | PGS018673 (TPMI_242.1_MegaPRS) |
PSS012569| East Asian Ancestry| 17,305 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Graves disease | — | AUROC: 0.75062 | R²: 0.03216 | sex, age, array, PCs 1-10 | — |
| PPM036857 | PGS018675 (TPMI_242.1_PRSmix+) |
PSS012571| East Asian Ancestry| 17,305 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Graves disease | — | AUROC: 0.75988 | R²: 0.03585 | sex, age, array, PCs 1-10 | — |
| PPM036865 | PGS018683 (TPMI_244.4_Lassosum2) |
PSS012580| East Asian Ancestry| 17,589 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Hypothyroidism NOS | — | AUROC: 0.7441 | R²: 0.06904 | sex, age, array, PCs 1-10 | — |
| PPM036867 | PGS018685 (TPMI_244.4_MegaPRS) |
PSS012581| East Asian Ancestry| 17,589 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Hypothyroidism NOS | — | AUROC: 0.74267 | R²: 0.06881 | sex, age, array, PCs 1-10 | — |
| PPM036869 | PGS018687 (TPMI_244.4_PRSmix+) |
PSS012583| East Asian Ancestry| 17,589 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Hypothyroidism NOS | — | AUROC: 0.74988 | R²: 0.07345 | sex, age, array, PCs 1-10 | — |
| PPM036872 | PGS018690 (TPMI_245_LDpred2) |
PSS012603| East Asian Ancestry| 17,446 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Thyroiditis | — | AUROC: 0.80611 | R²: 0.07344 | sex, age, array, PCs 1-10 | — |
| PPM036875 | PGS018693 (TPMI_245_PRSmix+) |
PSS012607| East Asian Ancestry| 17,446 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Thyroiditis | — | AUROC: 0.81079 | R²: 0.0764 | sex, age, array, PCs 1-10 | — |
| PPM036877 | PGS018695 (TPMI_245.2_Lassosum2) |
PSS012598| East Asian Ancestry| 17,340 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Chronic thyroiditis | — | AUROC: 0.80731 | R²: 0.04802 | sex, age, array, PCs 1-10 | — |
| PPM036892 | PGS018710 (TPMI_246_PRS-CS) |
PSS012617| East Asian Ancestry| 17,496 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Other disorders of thyroid | — | AUROC: 0.70941 | R²: 0.04251 | sex, age, array, PCs 1-10 | — |
| PPM036762 | PGS018580 (TPMI_193_Lassosum2) |
PSS012483| East Asian Ancestry| 19,578 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Thyroid cancer | — | AUROC: 0.74837 | R²: 0.04678 | sex, age, array, PCs 1-10 | — |
| PPM036765 | PGS018583 (TPMI_193_PRS-CS) |
PSS012485| East Asian Ancestry| 19,578 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Thyroid cancer | — | AUROC: 0.75032 | R²: 0.04683 | sex, age, array, PCs 1-10 | — |
| PPM036766 | PGS018584 (TPMI_193_SBayesR) |
PSS012486| East Asian Ancestry| 19,578 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Thyroid cancer | — | AUROC: 0.75015 | R²: 0.04632 | sex, age, array, PCs 1-10 | — |
| PPM036817 | PGS018635 (TPMI_226_Lassosum2) |
PSS012538| East Asian Ancestry| 19,294 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Benign neoplasm of thyroid glands | — | AUROC: 0.71775 | R²: 0.01182 | sex, age, array, PCs 1-10 | — |
| PPM036818 | PGS018636 (TPMI_226_LDpred2) |
PSS012537| East Asian Ancestry| 19,294 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Benign neoplasm of thyroid glands | — | AUROC: 0.72037 | R²: 0.0121 | sex, age, array, PCs 1-10 | — |
| PPM036821 | PGS018639 (TPMI_226_SBayesR) |
PSS012541| East Asian Ancestry| 19,294 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Benign neoplasm of thyroid glands | — | AUROC: 0.7189 | R²: 0.01135 | sex, age, array, PCs 1-10 | — |
| PPM036828 | PGS018646 (TPMI_240_LDpred2) |
PSS012547| East Asian Ancestry| 17,951 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Simple and unspecified goiter | — | AUROC: 0.73948 | R²: 0.11601 | sex, age, array, PCs 1-10 | — |
| PPM036830 | PGS018648 (TPMI_240_PRS-CS) |
PSS012550| East Asian Ancestry| 17,951 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Simple and unspecified goiter | — | AUROC: 0.73667 | R²: 0.11346 | sex, age, array, PCs 1-10 | — |
| PPM036831 | PGS018649 (TPMI_240_SBayesR) |
PSS012551| East Asian Ancestry| 17,951 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Simple and unspecified goiter | — | AUROC: 0.73854 | R²: 0.11544 | sex, age, array, PCs 1-10 | — |
| PPM036833 | PGS018651 (TPMI_241_LDpred2) |
PSS012562| East Asian Ancestry| 18,285 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Nontoxic nodular goiter | — | AUROC: 0.73416 | R²: 0.13359 | sex, age, array, PCs 1-10 | — |
| PPM036835 | PGS018653 (TPMI_241_PRS-CS) |
PSS012565| East Asian Ancestry| 18,285 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Nontoxic nodular goiter | — | AUROC: 0.73337 | R²: 0.13292 | sex, age, array, PCs 1-10 | — |
| PPM036837 | PGS018655 (TPMI_241.1_Lassosum2) |
PSS012553| East Asian Ancestry| 17,269 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Nontoxic uninodular goiter | — | AUROC: 0.71869 | R²: 0.01744 | sex, age, array, PCs 1-10 | — |
| PPM036838 | PGS018656 (TPMI_241.1_LDpred2) |
PSS012552| East Asian Ancestry| 17,269 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Nontoxic uninodular goiter | — | AUROC: 0.71953 | R²: 0.01769 | sex, age, array, PCs 1-10 | — |
| PPM036839 | PGS018657 (TPMI_241.1_MegaPRS) |
PSS012554| East Asian Ancestry| 17,269 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Nontoxic uninodular goiter | — | AUROC: 0.71549 | R²: 0.01662 | sex, age, array, PCs 1-10 | — |
| PPM036841 | PGS018659 (TPMI_241.1_SBayesR) |
PSS012556| East Asian Ancestry| 17,269 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Nontoxic uninodular goiter | — | AUROC: 0.7192 | R²: 0.01711 | sex, age, array, PCs 1-10 | — |
| PPM036842 | PGS018660 (TPMI_241.2_Lassosum2) |
PSS012558| East Asian Ancestry| 17,326 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Nontoxic multinodular goiter | — | AUROC: 0.70696 | R²: 0.02085 | sex, age, array, PCs 1-10 | — |
| PPM036843 | PGS018661 (TPMI_241.2_LDpred2) |
PSS012557| East Asian Ancestry| 17,326 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Nontoxic multinodular goiter | — | AUROC: 0.7074 | R²: 0.0212 | sex, age, array, PCs 1-10 | — |
| PPM036844 | PGS018662 (TPMI_241.2_MegaPRS) |
PSS012559| East Asian Ancestry| 17,326 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Nontoxic multinodular goiter | — | AUROC: 0.69943 | R²: 0.01753 | sex, age, array, PCs 1-10 | — |
| PPM036845 | PGS018663 (TPMI_241.2_PRS-CS) |
PSS012560| East Asian Ancestry| 17,326 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Nontoxic multinodular goiter | — | AUROC: 0.70611 | R²: 0.02061 | sex, age, array, PCs 1-10 | — |
| PPM036846 | PGS018664 (TPMI_241.2_SBayesR) |
PSS012561| East Asian Ancestry| 17,326 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Nontoxic multinodular goiter | — | AUROC: 0.70752 | R²: 0.02113 | sex, age, array, PCs 1-10 | — |
| PPM036847 | PGS018665 (TPMI_242_Lassosum2) |
PSS012574| East Asian Ancestry| 17,798 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Thyrotoxicosis with or without goiter | — | AUROC: 0.7785 | R²: 0.15719 | sex, age, array, PCs 1-10 | — |
| PPM036848 | PGS018666 (TPMI_242_LDpred2) |
PSS012573| East Asian Ancestry| 17,798 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Thyrotoxicosis with or without goiter | — | AUROC: 0.78101 | R²: 0.16025 | sex, age, array, PCs 1-10 | — |
| PPM036849 | PGS018667 (TPMI_242_MegaPRS) |
PSS012575| East Asian Ancestry| 17,798 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Thyrotoxicosis with or without goiter | — | AUROC: 0.7727 | R²: 0.14797 | sex, age, array, PCs 1-10 | — |
| PPM036850 | PGS018668 (TPMI_242_PRS-CS) |
PSS012576| East Asian Ancestry| 17,798 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Thyrotoxicosis with or without goiter | — | AUROC: 0.77922 | R²: 0.15769 | sex, age, array, PCs 1-10 | — |
| PPM036852 | PGS018670 (TPMI_242_SBayesR) |
PSS012578| East Asian Ancestry| 17,798 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Thyrotoxicosis with or without goiter | — | AUROC: 0.7732 | R²: 0.15169 | sex, age, array, PCs 1-10 | — |
| PPM036854 | PGS018672 (TPMI_242.1_LDpred2) |
PSS012567| East Asian Ancestry| 17,305 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Graves disease | — | AUROC: 0.75387 | R²: 0.03447 | sex, age, array, PCs 1-10 | — |
| PPM036856 | PGS018674 (TPMI_242.1_PRS-CS) |
PSS012570| East Asian Ancestry| 17,305 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Graves disease | — | AUROC: 0.74562 | R²: 0.03194 | sex, age, array, PCs 1-10 | — |
| PPM036858 | PGS018676 (TPMI_242.1_SBayesR) |
PSS012572| East Asian Ancestry| 17,305 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Graves disease | — | AUROC: 0.74098 | R²: 0.03008 | sex, age, array, PCs 1-10 | — |
| PPM036859 | PGS018677 (TPMI_244_Lassosum2) |
PSS012586| East Asian Ancestry| 17,678 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Hypothyroidism | — | AUROC: 0.73906 | R²: 0.07946 | sex, age, array, PCs 1-10 | — |
| PPM036860 | PGS018678 (TPMI_244_LDpred2) |
PSS012585| East Asian Ancestry| 17,678 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Hypothyroidism | — | AUROC: 0.74175 | R²: 0.08137 | sex, age, array, PCs 1-10 | — |
| PPM036861 | PGS018679 (TPMI_244_MegaPRS) |
PSS012587| East Asian Ancestry| 17,678 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Hypothyroidism | — | AUROC: 0.73799 | R²: 0.0789 | sex, age, array, PCs 1-10 | — |
| PPM036862 | PGS018680 (TPMI_244_PRS-CS) |
PSS012588| East Asian Ancestry| 17,678 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Hypothyroidism | — | AUROC: 0.73847 | R²: 0.07895 | sex, age, array, PCs 1-10 | — |
| PPM036863 | PGS018681 (TPMI_244_PRSmix+) |
PSS012589| East Asian Ancestry| 17,678 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Hypothyroidism | — | AUROC: 0.7484 | R²: 0.08739 | sex, age, array, PCs 1-10 | — |
| PPM036864 | PGS018682 (TPMI_244_SBayesR) |
PSS012590| East Asian Ancestry| 17,678 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Hypothyroidism | — | AUROC: 0.73809 | R²: 0.07802 | sex, age, array, PCs 1-10 | — |
| PPM036866 | PGS018684 (TPMI_244.4_LDpred2) |
PSS012579| East Asian Ancestry| 17,589 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Hypothyroidism NOS | — | AUROC: 0.74543 | R²: 0.0702 | sex, age, array, PCs 1-10 | — |
| PPM036868 | PGS018686 (TPMI_244.4_PRS-CS) |
PSS012582| East Asian Ancestry| 17,589 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Hypothyroidism NOS | — | AUROC: 0.74147 | R²: 0.06831 | sex, age, array, PCs 1-10 | — |
| PPM036870 | PGS018688 (TPMI_244.4_SBayesR) |
PSS012584| East Asian Ancestry| 17,589 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Hypothyroidism NOS | — | AUROC: 0.73857 | R²: 0.06642 | sex, age, array, PCs 1-10 | — |
| PPM036871 | PGS018689 (TPMI_245_Lassosum2) |
PSS012604| East Asian Ancestry| 17,446 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Thyroiditis | — | AUROC: 0.80242 | R²: 0.07048 | sex, age, array, PCs 1-10 | — |
| PPM036873 | PGS018691 (TPMI_245_MegaPRS) |
PSS012605| East Asian Ancestry| 17,446 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Thyroiditis | — | AUROC: 0.8013 | R²: 0.07086 | sex, age, array, PCs 1-10 | — |
| PPM036874 | PGS018692 (TPMI_245_PRS-CS) |
PSS012606| East Asian Ancestry| 17,446 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Thyroiditis | — | AUROC: 0.80502 | R²: 0.07276 | sex, age, array, PCs 1-10 | — |
| PPM036876 | PGS018694 (TPMI_245_SBayesR) |
PSS012608| East Asian Ancestry| 17,446 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Thyroiditis | — | AUROC: 0.79776 | R²: 0.06891 | sex, age, array, PCs 1-10 | — |
| PPM036878 | PGS018696 (TPMI_245.2_LDpred2) |
PSS012597| East Asian Ancestry| 17,340 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Chronic thyroiditis | — | AUROC: 0.81251 | R²: 0.04969 | sex, age, array, PCs 1-10 | — |
| PPM036879 | PGS018697 (TPMI_245.2_MegaPRS) |
PSS012599| East Asian Ancestry| 17,340 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Chronic thyroiditis | — | AUROC: 0.80531 | R²: 0.04823 | sex, age, array, PCs 1-10 | — |
| PPM036880 | PGS018698 (TPMI_245.2_PRS-CS) |
PSS012600| East Asian Ancestry| 17,340 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Chronic thyroiditis | — | AUROC: 0.81019 | R²: 0.04915 | sex, age, array, PCs 1-10 | — |
| PPM036881 | PGS018699 (TPMI_245.2_PRSmix+) |
PSS012601| East Asian Ancestry| 17,340 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Chronic thyroiditis | — | AUROC: 0.81625 | R²: 0.05203 | sex, age, array, PCs 1-10 | — |
| PPM036882 | PGS018700 (TPMI_245.2_SBayesR) |
PSS012602| East Asian Ancestry| 17,340 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Chronic thyroiditis | — | AUROC: 0.80447 | R²: 0.04689 | sex, age, array, PCs 1-10 | — |
| PPM036883 | PGS018701 (TPMI_245.21_Lassosum2) |
PSS012592| East Asian Ancestry| 17,333 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Chronic lymphocytic thyroiditis | — | AUROC: 0.8083 | R²: 0.04684 | sex, age, array, PCs 1-10 | — |
| PPM036884 | PGS018702 (TPMI_245.21_LDpred2) |
PSS012591| East Asian Ancestry| 17,333 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Chronic lymphocytic thyroiditis | — | AUROC: 0.81429 | R²: 0.04859 | sex, age, array, PCs 1-10 | — |
| PPM036885 | PGS018703 (TPMI_245.21_MegaPRS) |
PSS012593| East Asian Ancestry| 17,333 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Chronic lymphocytic thyroiditis | — | AUROC: 0.80609 | R²: 0.04681 | sex, age, array, PCs 1-10 | — |
| PPM036886 | PGS018704 (TPMI_245.21_PRS-CS) |
PSS012594| East Asian Ancestry| 17,333 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Chronic lymphocytic thyroiditis | — | AUROC: 0.80804 | R²: 0.04631 | sex, age, array, PCs 1-10 | — |
| PPM036887 | PGS018705 (TPMI_245.21_PRSmix+) |
PSS012595| East Asian Ancestry| 17,333 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Chronic lymphocytic thyroiditis | — | AUROC: 0.81711 | R²: 0.05007 | sex, age, array, PCs 1-10 | — |
| PPM036888 | PGS018706 (TPMI_245.21_SBayesR) |
PSS012596| East Asian Ancestry| 17,333 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Chronic lymphocytic thyroiditis | — | AUROC: 0.8053 | R²: 0.04581 | sex, age, array, PCs 1-10 | — |
| PPM036889 | PGS018707 (TPMI_246_Lassosum2) |
PSS012615| East Asian Ancestry| 17,496 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Other disorders of thyroid | — | AUROC: 0.70956 | R²: 0.04285 | sex, age, array, PCs 1-10 | — |
| PPM036890 | PGS018708 (TPMI_246_LDpred2) |
PSS012614| East Asian Ancestry| 17,496 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Other disorders of thyroid | — | AUROC: 0.71216 | R²: 0.04389 | sex, age, array, PCs 1-10 | — |
| PPM036891 | PGS018709 (TPMI_246_MegaPRS) |
PSS012616| East Asian Ancestry| 17,496 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Other disorders of thyroid | — | AUROC: 0.70748 | R²: 0.0416 | sex, age, array, PCs 1-10 | — |
| PPM036893 | PGS018711 (TPMI_246_SBayesR) |
PSS012618| East Asian Ancestry| 17,496 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Other disorders of thyroid | — | AUROC: 0.70787 | R²: 0.04203 | sex, age, array, PCs 1-10 | — |
| PPM038490 | PGS000820 (PRS_hypothyroidism) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.03225 | — | — | — | — |
| PPM038574 | PGS002336 (disease_HYPOTHYROIDISM_SELF_REP.BOLT-LMM) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.02616 | — | — | — | — |
| PPM038591 | PGS002024 (portability-ldpred2_244) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.02557 | — | — | — | — |
| PPM038599 | PGS000761 (LDpred2_hypoT_PRS) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.02551 | — | — | — | — |
| PPM038613 | PGS002351 (disease_THYROID_ANY_SELF_REP.BOLT-LMM) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.02491 | — | — | — | — |
| PPM038645 | PGS002702 (disease_HYPOTHYROIDISM_SELF_REP.SBayesR) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.02348 | — | — | — | — |
| PPM038653 | PGS002717 (disease_THYROID_ANY_SELF_REP.SBayesR) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.02314 | — | — | — | — |
| PPM038712 | PGS001816 (portability-PLR_244) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.02014 | — | — | — | — |
| PPM038880 | PGS002022 (portability-ldpred2_241.2) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.01551 | — | — | — | — |
| PPM038919 | PGS000965 (GBE_HC219) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.01392 | — | — | — | — |
| PPM038920 | PGS001814 (portability-PLR_241.2) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.01394 | — | — | — | — |
| PPM038930 | PGS001181 (GBE_HC643) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.01364 | — | — | — | — |
| PPM039012 | PGS002653 (disease_HYPOTHYROIDISM_SELF_REP.PolyFun-pred) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.01217 | — | — | — | — |
| PPM039039 | PGS002668 (disease_THYROID_ANY_SELF_REP.PolyFun-pred) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: 0.01162 | — | — | — | — |
| PPM039094 | PGS001289 (GBE_cancer1065) |
PSS013916| European Ancestry| 425,240 individuals |
PGP000865 | Bhatt IS et al. J Assoc Res Otolaryngol (2024) |Ext. |
Reported Trait: Age-related hearing difficulty | β: -0.01066 | — | — | — | — |
| PPM038190 | PGS019984 (ThyGland) |
PSS013878| European Ancestry| 352,406 individuals |
PGP000850 | Hu J et al. PLoS Genet (2026) |
Reported Trait: Thyroid Gland cancer | OR: 1.64 [1.54, 1.75] | AUROC: 0.64 [0.62, 0.65] | — | — | — |
|
PGS Sample Set ID (PSS) |
Phenotype Definitions and Methods | Participant Follow-up Time | Sample Numbers | Age of Study Participants | Sample Ancestry | Additional Ancestry Description | Cohort(s) | Additional Sample/Cohort Information |
|---|---|---|---|---|---|---|---|---|
| PSS000126 | Cancer diagnoses were obtained from reigstry data in GERA, and ICD-9/10 codes mapped to ICD-O-3 codes in UK Biobank. Cancers for this phenotype were classified using the following SEER site recode(s): 32010 | — | [ ,
46.0 % Male samples |
Mean = 58.0 years | European | — | GERA, UKB | — |
| PSS010996 | — | — | 360 individuals | Mean = 48.04 years | European | — | TCGA | — |
| PSS008161 | — | — | 6,305 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008166 | — | — | 5,927 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008167 | — | — | 5,954 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008168 | — | — | 6,272 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS013878 | — | — | [
|
— | European (EUR) |
— | UKB | — |
| PSS007697 | — | — | [
|
— | European | — | CanPath | — |
| PSS012482 | 193, V10.87,C73, Z85.850 | — | [ ,
46.22 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012483 | 193, V10.87,C73, Z85.850 | — | [ ,
46.22 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012484 | 193, V10.87,C73, Z85.850 | — | [ ,
46.22 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012485 | 193, V10.87,C73, Z85.850 | — | [ ,
46.22 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012486 | 193, V10.87,C73, Z85.850 | — | [ ,
46.22 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS007717 | — | — | [
|
— | European | — | UKB | — |
| PSS007730 | — | — | 2,453 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007734 | — | — | 2,378 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007735 | — | — | 2,410 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007736 | — | — | 2,434 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS009279 | — | — | 19,923 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS012537 | 226,D34 | — | [ ,
46.52 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012538 | 226,D34 | — | [ ,
46.52 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012539 | 226,D34 | — | [ ,
46.52 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012540 | 226,D34 | — | [ ,
46.52 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS009284 | — | — | 19,043 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009285 | — | — | 19,108 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009286 | — | — | 19,852 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS012541 | 226,D34 | — | [ ,
46.52 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013916 | — | — | [ ,
46.21 % Male samples |
— | European (British, Irish) |
— | UKB | — |
| PSS012547 | 240,E01.0, E01.2, E04.0 | — | [ ,
48.41 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012548 | 240,E01.0, E01.2, E04.0 | — | [ ,
48.41 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012549 | 240,E01.0, E01.2, E04.0 | — | [ ,
48.41 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012550 | 240,E01.0, E01.2, E04.0 | — | [ ,
48.41 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012551 | 240,E01.0, E01.2, E04.0 | — | [ ,
48.41 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012552 | 241.0,E04.1 | — | [ ,
49.59 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012553 | 241.0,E04.1 | — | [ ,
49.59 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012554 | 241.0,E04.1 | — | [ ,
49.59 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012555 | 241.0,E04.1 | — | [ ,
49.59 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012556 | 241.0,E04.1 | — | [ ,
49.59 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012557 | 241.1,E01.1, E04.2 | — | [ ,
49.46 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012558 | 241.1,E01.1, E04.2 | — | [ ,
49.46 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012559 | 241.1,E01.1, E04.2 | — | [ ,
49.46 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012560 | 241.1,E01.1, E04.2 | — | [ ,
49.46 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012561 | 241.1,E01.1, E04.2 | — | [ ,
49.46 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012562 | 241,E01.1, E04.1, E04.2, E04.8, E04.9 | — | [ ,
47.92 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS011465 | — | — | 9,462 individuals | — | European | — | AllofUs | — |
| PSS012563 | 241,E01.1, E04.1, E04.2, E04.8, E04.9 | — | [ ,
47.92 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012564 | 241,E01.1, E04.1, E04.2, E04.8, E04.9 | — | [ ,
47.92 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012566 | 241,E01.1, E04.1, E04.2, E04.8, E04.9 | — | [ ,
47.92 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012565 | 241,E01.1, E04.1, E04.2, E04.8, E04.9 | — | [ ,
47.92 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012568 | 242.0,E05.0 | — | [ ,
49.58 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012569 | 242.0,E05.0 | — | [ ,
49.58 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012567 | 242.0,E05.0 | — | [ ,
49.58 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012571 | 242.0,E05.0 | — | [ ,
49.58 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012570 | 242.0,E05.0 | — | [ ,
49.58 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012573 | 242, 376.2, 376.3,E05, H05.20, H05.22, H05.23, H05.24, H05.25, H05.26 | — | [ ,
48.9 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012574 | 242, 376.2, 376.3,E05, H05.20, H05.22, H05.23, H05.24, H05.25, H05.26 | — | [ ,
48.9 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012575 | 242, 376.2, 376.3,E05, H05.20, H05.22, H05.23, H05.24, H05.25, H05.26 | — | [ ,
48.9 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012576 | 242, 376.2, 376.3,E05, H05.20, H05.22, H05.23, H05.24, H05.25, H05.26 | — | [ ,
48.9 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012577 | 242, 376.2, 376.3,E05, H05.20, H05.22, H05.23, H05.24, H05.25, H05.26 | — | [ ,
48.9 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012578 | 242, 376.2, 376.3,E05, H05.20, H05.22, H05.23, H05.24, H05.25, H05.26 | — | [ ,
48.9 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012572 | 242.0,E05.0 | — | [ ,
49.58 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012580 | 244.9,E03.9 | — | [ ,
48.96 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012581 | 244.9,E03.9 | — | [ ,
48.96 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012579 | 244.9,E03.9 | — | [ ,
48.96 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012583 | 244.9,E03.9 | — | [ ,
48.96 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012582 | 244.9,E03.9 | — | [ ,
48.96 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012585 | 243, 244,E00, E01.8, E02, E03.0, E03.1, E03.2, E03.3, E03.8, E03.9, E89.0 | — | [ ,
48.79 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012586 | 243, 244,E00, E01.8, E02, E03.0, E03.1, E03.2, E03.3, E03.8, E03.9, E89.0 | — | [ ,
48.79 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012587 | 243, 244,E00, E01.8, E02, E03.0, E03.1, E03.2, E03.3, E03.8, E03.9, E89.0 | — | [ ,
48.79 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012588 | 243, 244,E00, E01.8, E02, E03.0, E03.1, E03.2, E03.3, E03.8, E03.9, E89.0 | — | [ ,
48.79 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012589 | 243, 244,E00, E01.8, E02, E03.0, E03.1, E03.2, E03.3, E03.8, E03.9, E89.0 | — | [ ,
48.79 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012590 | 243, 244,E00, E01.8, E02, E03.0, E03.1, E03.2, E03.3, E03.8, E03.9, E89.0 | — | [ ,
48.79 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012584 | 244.9,E03.9 | — | [ ,
48.96 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012592 | 245.2,E06.3 | — | [ ,
49.3 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012591 | 245.2,E06.3 | — | [ ,
49.3 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012593 | 245.2,E06.3 | — | [ ,
49.3 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012594 | 245.2,E06.3 | — | [ ,
49.3 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012595 | 245.2,E06.3 | — | [ ,
49.3 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012597 | 245.2, 245.3, 245.8,E06.2, E06.3, E06.5 | — | [ ,
49.28 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012598 | 245.2, 245.3, 245.8,E06.2, E06.3, E06.5 | — | [ ,
49.28 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012599 | 245.2, 245.3, 245.8,E06.2, E06.3, E06.5 | — | [ ,
49.28 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012600 | 245.2, 245.3, 245.8,E06.2, E06.3, E06.5 | — | [ ,
49.28 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012601 | 245.2, 245.3, 245.8,E06.2, E06.3, E06.5 | — | [ ,
49.28 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS008833 | — | — | 3,896 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS012603 | 245,E06 | — | [ ,
49.05 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012604 | 245,E06 | — | [ ,
49.05 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012605 | 245,E06 | — | [ ,
49.05 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS008837 | — | — | 3,830 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008838 | — | — | 3,836 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008839 | — | — | 3,876 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS012607 | 245,E06 | — | [ ,
49.05 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012606 | 245,E06 | — | [ ,
49.05 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS004354 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004355 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004356 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004357 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004358 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS012608 | 245,E06 | — | [ ,
49.05 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012617 | 246, 790.94, 794.5,E03.4, E07, E35, R94.6 | — | [ ,
49.27 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012602 | 245.2, 245.3, 245.8,E06.2, E06.3, E06.5 | — | [ ,
49.28 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012615 | 246, 790.94, 794.5,E03.4, E07, E35, R94.6 | — | [ ,
49.27 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012614 | 246, 790.94, 794.5,E03.4, E07, E35, R94.6 | — | [ ,
49.27 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012616 | 246, 790.94, 794.5,E03.4, E07, E35, R94.6 | — | [ ,
49.27 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012618 | 246, 790.94, 794.5,E03.4, E07, E35, R94.6 | — | [ ,
49.27 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS011762 | — | — | 8,417 individuals | — | European | — | BBofA | — |
| PSS009939 | — | — | 39,444 individuals | — | European (Finnish) |
— | FinnGen | — |
| PSS011527 | — | — | 245 individuals | — | European | — | TCGA | — |
| PSS011527 | — | — | 30 individuals | — | Asian unspecified | — | TCGA | — |
| PSS011527 | — | — | 13 individuals | — | African American or Afro-Caribbean | — | TCGA | — |
| PSS011527 | — | — | 71 individuals | — | Not reported | — | TCGA | — |
| PSS000341 | Cases were ascertained using ICD-10 C73 (PTC, FTC, cancer/carcinoma, and rare nonmedullary) | — | [ ,
46.41 % Male samples |
— | European | — | deCODE | — |
| PSS000342 | Histologically confirmed papillary or follicular thyroid carcinoma (PTC) patients (including traditional PTC and follicular variant PTC) | — | [ ,
26.08 % Male samples |
— | European | — | NR | — |
| PSS000343 | Cases were ascertained using ICD-10 C73 (PTC, FTC, cancer/carcinoma, and rare nonmedullary) | — | [ ,
45.97 % Male samples |
— | European | — | UKB | — |
| PSS008383 | — | — | 1,197 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS001025 | Individuals with at least one recorded incident diagnosis of a borderline, in situ, or malignant primary cancer were defined as cases. | — | [
|
— | European | — | UKB | — |
| PSS008388 | — | — | 1,140 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008389 | — | — | 1,143 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008390 | — | — | 1,186 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS000558 | PheCode:193; ICD9CM:193, V10.87; ICD10CM:C73 | — | [
|
— | European | — | MGI | — |
| PSS000579 | PheCode:193; ICD9:193; ICD10:C73 | — | [
|
— | European | — | UKB | — |
| PSS012279 | — | — | [
|
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS011791 | — | — | 73,346 individuals | — | African American or Afro-Caribbean, Asian unspecified, European, Native American, Not reported | — | CCPM | — |
| PSS010136 | — | — | [
|
— | European | — | UKB | — |
| PSS007948 | — | — | 1,801 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS012024 | — | — | 11,220 individuals, 49.6 % Male samples |
— | European | — | CCSS, SJLIFE | — |
| PSS007953 | — | — | 1,744 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS007954 | — | — | 1,754 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS007955 | — | — | 1,782 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS011364 | — | — | 56,192 individuals | — | European | — | UKB | — |
| PSS012596 | 245.2,E06.3 | — | [ ,
49.3 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS004526 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004527 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004528 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004529 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004530 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS001068 | Spontaneous hypothyroidism cases and controls were defined using phecodes, which aggregate similar ICD-9-CM and ICD-10-CM. Individuals must have had at least 2 ICD codes for hypothyroidism to be assigned a phecode, and individuals with other thyroid diseases were excluded from the control set. | — | 51,070 individuals | — | European | — | BioVU | — |
| PSS001069 | All individuals had non-small cell lung cancer (NSCLC) and were receiving immune checkpoint inhibitor (CPI) therapy. Cases were individuals who had experienced immune-related thyroid dysfunction following CPI therapy. A thyroid event after the start of CPI therapy was defined as either (1) incident hypothyroidism or (2) transient incident hyperthyroidism followed by incident hypothyroidism. Incident hypothyroidism was defined as (a) a TSH of ≥ 10 mU/L or (b) TSH of ≥ 5 mU/L with a new prescription of levothyroxine ≥ 50 mcg. Incident hyperthyroidism was defined as TSH < 0.05 mU/L. | Median = 12.0 months | [ ,
44.0 % Male samples |
Median = 67.0 years IQR = [60.0, 74.0] years |
European, African unspecified, Asian unspecified, Hispanic or Latin American, NR | European = 506, African unspecified = 22, Asian unspecified = 17, Not reported = 6, Hispanic or Latin American = 10 | NR | Cases and controls were obtained from the Dana-Farber Cancer Institute (DFCI) |
| PSS001070 | All individuals had non-small cell lung cancer (NSCLC) and were receiving immune checkpoint inhibitor (CPI) therapy. of the 744 individuals receiving CPI therapy, 659 were being treated with Anti-PD-(L)1 monotherapy whilst 85 were being treated with Anti-PD-(L)1+CTLA-4 combination therapy. Cases were individuals who had experienced immune-related thyroid dysfunction following CPI therapy. A thyroid event after the start of CPI therapy was defined as either (1) incident hypothyroidism or (2) transient incident hyperthyroidism followed by incident hypothyroidism. Incident hypothyroidism was defined as (a) a TSH of ≥ 10 mU/L or (b) TSH of ≥ 5 mU/L with a new prescription of levothyroxine ≥ 50 mcg. Incident hyperthyroidism was defined as TSH < 0.05 mU/L. | — | [ ,
50.94 % Male samples |
— | European, African unspecified, Asian unspecified, Hispanic or Latin American, NR | European = 634, African unspecified = 50, Asian unspecified = 36, Not reported = 4, Hispanic or Latin American = 20 | MSKCC | Additional cases and controls were obtained from the Vanderbilt University Medical Centre (VUMC) |
| PSS001071 | All individuals had non-small cell lung cancer (NSCLC) and were receiving immune checkpoint inhibitor (CPI) therapy. Cases were individuals who had experienced immune-related thyroid dysfunction following CPI therapy. A thyroid event after the start of CPI therapy was defined as either (1) incident hypothyroidism or (2) transient incident hyperthyroidism followed by incident hypothyroidism. Incident hypothyroidism was defined as (a) a TSH of ≥ 10 mU/L or (b) TSH of ≥ 5 mU/L with a new prescription of levothyroxine ≥ 50 mcg. Incident hyperthyroidism was defined as TSH < 0.05 mU/L. | — | 634 individuals | — | European | — | MSKCC | Additional cases and controls were obtained from the Vanderbilt University Medical Centre (VUMC) |
| PSS012042 | ICD10: E038, E039, E063 Self-reported hypothyroidism ATC: H03A or dnd codes for levothyroxine Cases excluded ICD10:DE05[0-9] | — | [
|
— | European (White British) |
— | UKB | — |
| PSS012042 | ICD10: E038, E039, E063 ATC: H03A Excluded individuals with ICD10: E05[0-9] | — | [
|
— | European (Danish) |
— | GESUS | — |
| PSS003602 | All individuals were childhood cancer survivors. Of the 6,414 childhood cancer survivors, 1,374 had received neck radiotherapy (neck-RT) as a form of treatment. Cases were individuals who developed subsequent thyroid cancer (STC). Cases of STC were ascertained by self-report questionnaires and subsequently confirmed by pathology reports. 73 of the 121 STC cases had received neck-RT as a form of childhood cancer treatment, whilst 48 had not. Of the controls, 1,301 had received neck-RT as a form of childhood cancer treatment. | Median = 36.5 years | [ ,
47.7 % Male samples |
— | European | — | NR | — |
| PSS003603 | All individuals were childhood cancer survivors. Of the 2,370 childhood cancer survivors, 476 had received neck radiotherapy (neck-RT) as a form of treatment. Cases were individuals who developed subsequent thyroid cancer (STC). Cases of STC were clinically ascertained. 47 of the 65 STC cases had received neck-RT as a form of childhood cancer treatment, whilst 18 had not. | Median = 36.6 years IQR = [30.3, 44.1] years |
[ ,
53.4 % Male samples |
— | European | — | SJCRH | — |
| PSS004555 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004556 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004557 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004558 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004559 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004560 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004561 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004562 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004563 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004564 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004565 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004566 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004567 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004568 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004569 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS009058 | — | — | 3,930 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009059 | — | — | 3,938 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009060 | — | — | 4,100 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009053 | — | — | 4,120 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS007656 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS007657 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS007658 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS007659 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS007660 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS009787 | — | — | 6,503 individuals | — | African unspecified | — | UKB | — |
| PSS009788 | — | — | 922 individuals | — | East Asian | — | UKB | — |
| PSS009790 | — | — | 8,098 individuals | — | South Asian | — | UKB | — |
| PSS009789 | — | — | 43,505 individuals | — | European | Non-British European | UKB | — |
| PSS000970 | — | Median = 400.0 days | 1,584 individuals | — | European | — | GNEHGI2020Q2 | — |
| PSS008607 | — | — | 6,640 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008612 | — | — | 6,363 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008613 | — | — | 6,381 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008614 | — | — | 6,601 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS000282 | Primary tumor samples from TCGA | — | [
|
Mean = 49.0 years Sd = 16.0 years |
European | — | TCGA | — |
| PSS000282 | — | — | [
|
— | European | — | eMERGE | — |
| PSS009847 | — | — | 6,503 individuals | — | African unspecified | — | UKB | — |
| PSS009848 | — | — | 922 individuals | — | East Asian | — | UKB | — |
| PSS009849 | — | — | 43,505 individuals | — | European | Non-British European | UKB | — |
| PSS009850 | — | — | 8,098 individuals | — | South Asian | — | UKB | — |
| PSS012069 | Cases - ICD-9-CM codes: 193, V10.87, ICD-10-CM billing codes: C73, Z85.850, ICD-9 codes: 193, V10.87, ICD-10 codes: C73, SNOMED: 92767001 Carcinoma in situ of thyroid gland, 363478007 Malignant tumor of thyroid gland, 255028004 Follicular thyroid carcinoma, 423158009 Hurthle cell carcinoma of thyroid, 772992009 Primary differentiated carcinoma of thyroid gland. Controls - ICD-9-CM codes: 241 Nontoxic nodular goiter, 241.0 Nontoxic uninodular goiter, 241.1 Nontoxic multinodular goiter, 241.9 Unspecified nontoxic nodular goiter ICD-10-CM billing codes: E01.1 Iodine-deficiency related multinodular (endemic) goiter, E04.1 Nontoxic single thyroid nodule, E04.2 Nontoxic multinodular goiter, E04.8 Other specified nontoxic goiter, E04.9 Nontoxic goiter, unspecified, ICD-9-CM codes: 241 Nontoxic nodular goiter, 241.0 Nontoxic uninodular goiter, 241.1 Nontoxic multinodular goiter, 241.9 Unspecified nontoxic nodular goiter, ICD-10 codes: E01.1 Iodine-deficiency related multinodular (endemic) goiter, E04.1 Nontoxic single thyroid nodule, E04.2 Nontoxic multinodular goiter, E04.8 Other specified nontoxic goiter, E04.9 Nontoxic goiter, unspecified, SNOMED: 419153005 Nodular goiter, 190236006 Non-toxic nodular goiter, 66392007 Substernal goiter, 60968001 Adenomatous goiter | — | 94,651 individuals | — | African American or Afro-Caribbean, Hispanic or Latin American, European | — | CCPM | — |