Trait: total cholesterol measurement

Experimental Factor Ontology (EFO) Information
Identifier EFO_0004574
Description A total cholesterol measurement is the quantification of cholesterol in blood, total cholesterol is defined as the sum of HDL, LDL, and VLDL.
Trait category
Lipid or lipoprotein measurement
Synonyms 2 synonyms
  • cholesterol, total
  • total cholesterol levels
Mapped term SNOMEDCT:121868005

Associated Polygenic Score(s)

Filter PGS by Participant Ancestry
Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
List of ancestries includes:
Display options:
Ancestry legend
Multi-ancestry (including European)
Multi-ancestry (excluding European)
African
East Asian
South Asian
Additional Asian Ancestries
European
Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported
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)
PGS000062
(GRS_TC)
 PGP000045 |
Johnson L et al. PLoS One (2015)
 Total cholesterol total cholesterol measurement 52
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000062/ScoringFiles/PGS000062.txt.gz
PGS000311
(GRS234_TC)
 PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
 Total cholesterol total cholesterol measurement 234
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000311/ScoringFiles/PGS000311.txt.gz
PGS000658
(PRS-TC)
 PGP000121 |
Tam CHT et al. Genome Med (2021)
 Total cholesterol total cholesterol measurement 229
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000658/ScoringFiles/PGS000658.txt.gz
PGS000677
(snpnet.Cholesterol_adjstatins)
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Cholesterol [mmol/L] (statin adjusted) total cholesterol measurement 17,204
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000677/ScoringFiles/PGS000677.txt.gz - Check Terms/Licenses
PGS000831
(Total_cholesterol_PGS)
 PGP000210 |
Zubair N et al. Sci Rep (2019)
 Total cholesterol total cholesterol measurement 1,032
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000831/ScoringFiles/PGS000831.txt.gz - Check Terms/Licenses
PGS001895
(portability-PLR_cholesterol)
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Cholesterol total cholesterol measurement 16,576
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001895/ScoringFiles/PGS001895.txt.gz
PGS002108
(portability-ldpred2_cholesterol)
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Cholesterol total cholesterol measurement 451,160
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002108/ScoringFiles/PGS002108.txt.gz
PGS002286
(GRS_286_TC)
 PGP000313 |
Kamiza AB et al. Nat Med (2022)
 Total cholesterol total cholesterol measurement 286
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002286/ScoringFiles/PGS002286.txt.gz
PGS002352
(biochemistry_Cholesterol.BOLT-LMM)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Total cholesterol total cholesterol measurement 1,109,311
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002352/ScoringFiles/PGS002352.txt.gz
PGS002377
(biochemistry_Cholesterol.BOLT-LMM-BBJ)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Total cholesterol total cholesterol measurement 920,922
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002377/ScoringFiles/PGS002377.txt.gz
PGS002424
(biochemistry_Cholesterol.P+T.0.0001)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Total cholesterol total cholesterol measurement 8,526
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002424/ScoringFiles/PGS002424.txt.gz
PGS002473
(biochemistry_Cholesterol.P+T.0.001)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Total cholesterol total cholesterol measurement 22,547
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002473/ScoringFiles/PGS002473.txt.gz
PGS002522
(biochemistry_Cholesterol.P+T.0.01)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Total cholesterol total cholesterol measurement 109,026
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002522/ScoringFiles/PGS002522.txt.gz
PGS002571
(biochemistry_Cholesterol.P+T.1e-06)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Total cholesterol total cholesterol measurement 3,573
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002571/ScoringFiles/PGS002571.txt.gz
PGS002620
(biochemistry_Cholesterol.P+T.5e-08)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Total cholesterol total cholesterol measurement 2,571
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002620/ScoringFiles/PGS002620.txt.gz
PGS002669
(biochemistry_Cholesterol.PolyFun-pred)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Total cholesterol total cholesterol measurement 309,475
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002669/ScoringFiles/PGS002669.txt.gz
PGS002718
(biochemistry_Cholesterol.SBayesR)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Total cholesterol total cholesterol measurement 977,049
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002718/ScoringFiles/PGS002718.txt.gz
PGS002783
(GLGC_2021_ALL_TC_PRS_weights_PT)
 PGP000366 |
Kanoni S et al. Genome Biol (2022)
 Total cholesterol total cholesterol measurement 10,699
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002783/ScoringFiles/PGS002783.txt.gz
PGS003134
(ExPRSweb_TC_30690-irnt_LASSOSUM_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Total cholesterol total cholesterol measurement 585,328
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003134/ScoringFiles/PGS003134.txt.gz
PGS003135
(ExPRSweb_TC_30690-irnt_PT_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Total cholesterol total cholesterol measurement 2,822
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003135/ScoringFiles/PGS003135.txt.gz
PGS003136
(ExPRSweb_TC_30690-irnt_PLINK_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Total cholesterol total cholesterol measurement 3,566
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003136/ScoringFiles/PGS003136.txt.gz
PGS003137
(ExPRSweb_TC_30690-irnt_DBSLMM_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Total cholesterol total cholesterol measurement 7,459,292
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003137/ScoringFiles/PGS003137.txt.gz
PGS003138
(ExPRSweb_TC_30690-irnt_PRSCS_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Total cholesterol total cholesterol measurement 1,113,831
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003138/ScoringFiles/PGS003138.txt.gz
PGS003139
(ExPRSweb_TC_30690-raw_LASSOSUM_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Total cholesterol total cholesterol measurement 569,518
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003139/ScoringFiles/PGS003139.txt.gz
PGS003140
(ExPRSweb_TC_30690-raw_PT_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Total cholesterol total cholesterol measurement 2,863
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003140/ScoringFiles/PGS003140.txt.gz
PGS003141
(ExPRSweb_TC_30690-raw_PLINK_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Total cholesterol total cholesterol measurement 3,604
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003141/ScoringFiles/PGS003141.txt.gz
PGS003142
(ExPRSweb_TC_30690-raw_DBSLMM_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Total cholesterol total cholesterol measurement 7,459,288
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003142/ScoringFiles/PGS003142.txt.gz
PGS003143
(ExPRSweb_TC_30690-raw_PRSCS_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Total cholesterol total cholesterol measurement 1,113,831
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003143/ScoringFiles/PGS003143.txt.gz
PGS003341
(CVGRS_TC)
 PGP000405 |
Kim YJ et al. Nat Commun (2022)
 Total cholesterol total cholesterol measurement 91
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003341/ScoringFiles/PGS003341.txt.gz
PGS003350
(ALLGRS_TC)
 PGP000405 |
Kim YJ et al. Nat Commun (2022)
 Total cholesterol total cholesterol measurement 102
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003350/ScoringFiles/PGS003350.txt.gz
PGS003481
(LDPred2_TC)
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Total cholesterol total cholesterol measurement 842,513
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003481/ScoringFiles/PGS003481.txt.gz
PGS003495
(cont-decay-cholesterol)
 PGP000457 |
Ding Y et al. Nature (2023)
 Cholesterol total cholesterol measurement 979,739
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003495/ScoringFiles/PGS003495.txt.gz
PGS003818
(TC_EUR_CT)
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Total cholesterol total cholesterol measurement 4,691
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003818/ScoringFiles/PGS003818.txt.gz
PGS003819
(TC_EUR_LDpred2)
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Total cholesterol total cholesterol measurement 1,490,151
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003819/ScoringFiles/PGS003819.txt.gz
PGS003820
(TC_AFR_CT)
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Total cholesterol total cholesterol measurement 218
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003820/ScoringFiles/PGS003820.txt.gz
PGS003821
(TC_AFR_LDpred2)
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Total cholesterol total cholesterol measurement 1,687,775
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003821/ScoringFiles/PGS003821.txt.gz
PGS003822
(TC_AFR_weighted_LDpred2)
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Total cholesterol total cholesterol measurement 1,687,775
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003822/ScoringFiles/PGS003822.txt.gz
PGS003823
(TC_AFR_PRSCSx)
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Total cholesterol total cholesterol measurement 1,155,228
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003823/ScoringFiles/PGS003823.txt.gz
PGS003824
(TC_AFR_CTSLEB)
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Total cholesterol total cholesterol measurement 1,122,865
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003824/ScoringFiles/PGS003824.txt.gz
PGS003825
(TC_EAS_CT)
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Total cholesterol total cholesterol measurement 230
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003825/ScoringFiles/PGS003825.txt.gz
PGS003826
(TC_EAS_LDpred2)
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Total cholesterol total cholesterol measurement 820,996
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003826/ScoringFiles/PGS003826.txt.gz
PGS003827
(TC_EAS_weighted_LDpred2)
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Total cholesterol total cholesterol measurement 820,996
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003827/ScoringFiles/PGS003827.txt.gz
PGS003828
(TC_EAS_PRSCSx)
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Total cholesterol total cholesterol measurement 1,155,228
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003828/ScoringFiles/PGS003828.txt.gz
PGS003829
(TC_EAS_CTSLEB)
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Total cholesterol total cholesterol measurement 431,780
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003829/ScoringFiles/PGS003829.txt.gz
PGS003830
(TC_SAS_CT)
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Total cholesterol total cholesterol measurement 32
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003830/ScoringFiles/PGS003830.txt.gz
PGS003831
(TC_SAS_LDpred2)
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Total cholesterol total cholesterol measurement 1,468,958
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003831/ScoringFiles/PGS003831.txt.gz
PGS003832
(TC_SAS_weighted_LDpred2)
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Total cholesterol total cholesterol measurement 1,468,958
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003832/ScoringFiles/PGS003832.txt.gz
PGS003833
(TC_SAS_PRSCSx)
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Total cholesterol total cholesterol measurement 1,155,228
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003833/ScoringFiles/PGS003833.txt.gz
PGS003834
(TC_SAS_CTSLEB)
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Total cholesterol total cholesterol measurement 770,490
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003834/ScoringFiles/PGS003834.txt.gz
PGS003853
(PRS60_TC)
 PGP000493 |
Li J et al. JAMA Netw Open (2023)
 Total cholesterol total cholesterol measurement 60
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003853/ScoringFiles/PGS003853.txt.gz
PGS004333
(X30690.score)
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Cholesterol (mmol/L) total cholesterol measurement 1,059,939
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004333/ScoringFiles/PGS004333.txt.gz
PGS004667
(TC_AFR_lassosum2)
 PGP000595 |
Zhang J et al. Nat Commun (2024)
 Total cholesterol total cholesterol measurement 1,830
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004667/ScoringFiles/PGS004667.txt.gz
PGS004668
(TC_AFR_ldpred2)
 PGP000595 |
Zhang J et al. Nat Commun (2024)
 Total cholesterol total cholesterol measurement 1,691,065
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004668/ScoringFiles/PGS004668.txt.gz
PGS004669
(TC_AFR_PROSPER)
 PGP000595 |
Zhang J et al. Nat Commun (2024)
 Total cholesterol total cholesterol measurement 1,728,954
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004669/ScoringFiles/PGS004669.txt.gz
PGS004670
(TC_AFR_weighted_lassosum2)
 PGP000595 |
Zhang J et al. Nat Commun (2024)
 Total cholesterol total cholesterol measurement 158,252
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004670/ScoringFiles/PGS004670.txt.gz
PGS004671
(TC_AFR_weighted_ldpred2)
 PGP000595 |
Zhang J et al. Nat Commun (2024)
 Total cholesterol total cholesterol measurement 1,872,229
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004671/ScoringFiles/PGS004671.txt.gz
PGS004672
(TC_EAS_lassosum2)
 PGP000595 |
Zhang J et al. Nat Commun (2024)
 Total cholesterol total cholesterol measurement 65,005
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004672/ScoringFiles/PGS004672.txt.gz
PGS004673
(TC_EAS_ldpred2)
 PGP000595 |
Zhang J et al. Nat Commun (2024)
 Total cholesterol total cholesterol measurement 823,148
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004673/ScoringFiles/PGS004673.txt.gz
PGS004674
(TC_EAS_PROSPER)
 PGP000595 |
Zhang J et al. Nat Commun (2024)
 Total cholesterol total cholesterol measurement 1,728,954
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004674/ScoringFiles/PGS004674.txt.gz
PGS004675
(TC_EAS_weighted_lassosum2)
 PGP000595 |
Zhang J et al. Nat Commun (2024)
 Total cholesterol total cholesterol measurement 158,252
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004675/ScoringFiles/PGS004675.txt.gz
PGS004676
(TC_EAS_weighted_ldpred2)
 PGP000595 |
Zhang J et al. Nat Commun (2024)
 Total cholesterol total cholesterol measurement 1,872,229
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004676/ScoringFiles/PGS004676.txt.gz
PGS004677
(TC_SAS_lassosum2)
 PGP000595 |
Zhang J et al. Nat Commun (2024)
 Total cholesterol total cholesterol measurement 2,421
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004677/ScoringFiles/PGS004677.txt.gz
PGS004678
(TC_SAS_ldpred2)
 PGP000595 |
Zhang J et al. Nat Commun (2024)
 Total cholesterol total cholesterol measurement 1,471,975
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004678/ScoringFiles/PGS004678.txt.gz
PGS004679
(TC_SAS_PROSPER)
 PGP000595 |
Zhang J et al. Nat Commun (2024)
 Total cholesterol total cholesterol measurement 1,728,954
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004679/ScoringFiles/PGS004679.txt.gz
PGS004680
(TC_SAS_weighted_lassosum2)
 PGP000595 |
Zhang J et al. Nat Commun (2024)
 Total cholesterol total cholesterol measurement 158,252
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004680/ScoringFiles/PGS004680.txt.gz
PGS004681
(TC_SAS_weighted_ldpred2)
 PGP000595 |
Zhang J et al. Nat Commun (2024)
 Total cholesterol total cholesterol measurement 1,872,229
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004681/ScoringFiles/PGS004681.txt.gz
PGS004841
(tc_PRSmix_eur)
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Total cholesterol total cholesterol measurement 1,051,726
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004841/ScoringFiles/PGS004841.txt.gz
PGS004842
(tc_PRSmix_sas)
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Total cholesterol total cholesterol measurement 6,439,132
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004842/ScoringFiles/PGS004842.txt.gz
PGS004843
(tc_PRSmixPlus_eur)
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Total cholesterol total cholesterol measurement 4,136,795
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004843/ScoringFiles/PGS004843.txt.gz
PGS004844
(tc_PRSmixPlus_sas)
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Total cholesterol total cholesterol measurement 6,149,012
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004844/ScoringFiles/PGS004844.txt.gz
PGS019808
(TPMI_TC_Lassosum2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Total cholesterol total cholesterol measurement 8,249
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019808/ScoringFiles/PGS019808.txt.gz
PGS019832
(TPMI_TC_LDPred2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Total cholesterol total cholesterol measurement 939,809
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019832/ScoringFiles/PGS019832.txt.gz
PGS019856
(TPMI_TC_PRS-CS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Total cholesterol total cholesterol measurement 983,770
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019856/ScoringFiles/PGS019856.txt.gz
PGS019880
(TPMI_TC_SBayesR)
 PGP000835 |
Chen HH et al. Nature (2025)
 Total cholesterol total cholesterol measurement 946,256
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019880/ScoringFiles/PGS019880.txt.gz
PGS019904
(TPMI_TC_MegaPRS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Total cholesterol total cholesterol measurement 331,762
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019904/ScoringFiles/PGS019904.txt.gz

Performance Metrics

Disclaimer: The performance metrics are displayed as reported by the source studies. It is important to note that metrics are not necessarily comparable with each other. For example, metrics depend on the sample characteristics (described by the PGS Catalog Sample Set [PSS] ID), phenotyping, and statistical modelling. Please refer to the source publication for additional guidance on performance.

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
PPM000159 PGS000062
(GRS_TC)
 PSS000098|
European Ancestry|
2,063 individuals
 PGP000045 |
Johnson L et al. PLoS One (2015)
 Reported Trait: Serum total cholesterol (TC) levels β: 20.69 — Beta (p-value): 0.0108 age, age^2, sex, GRS_HDL, GRS_LDL, GRS_TG Association (p-value; unadjusted for covariates) < 0.001
PPM000160 PGS000062
(GRS_TC)
 PSS000097|
East Asian Ancestry|
666 individuals
 PGP000045 |
Johnson L et al. PLoS One (2015)
 Reported Trait: Serum total cholesterol (TC) levels β: 8.57 — Beta (p-value): 0.583 age, age^2, sex, GRS_HDL, GRS_LDL, GRS_TG Association (p-value; unadjusted for covariates) < 0.001
PPM000161 PGS000062
(GRS_TC)
 PSS000096|
African Ancestry|
1,355 individuals
 PGP000045 |
Johnson L et al. PLoS One (2015)
 Reported Trait: Serum total cholesterol (TC) levels β: 1.99 — Beta (p-value): 0.852 age, age^2, sex, GRS_HDL, GRS_LDL, GRS_TG Association (p-value; unadjusted for covariates) < 0.001
PPM000162 PGS000062
(GRS_TC)
 PSS000099|
Hispanic or Latin American Ancestry|
1,256 individuals
 PGP000045 |
Johnson L et al. PLoS One (2015)
 Reported Trait: Serum total cholesterol (TC) levels β: -2.62 — Beta (p-value): 0.815 age, age^2, sex, GRS_HDL, GRS_LDL, GRS_TG Association (p-value; unadjusted for covariates) < 0.001
PPM000781 PGS000311
(GRS234_TC)
 PSS000376|
European Ancestry|
1,354 individuals
 PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
 Reported Trait: Total cholesterol (mmol/l) — — R²: 0.1295 Sex, age, age^2 —
PPM001350 PGS000658
(PRS-TC)
 PSS000593|
East Asian Ancestry|
4,917 individuals
 PGP000121 |
Tam CHT et al. Genome Med (2021)
 Reported Trait: Total cholesterol at baseline (log transformed) β: 0.042 (0.003) — Pearson Correlation Coefficient (r): 0.186
Incremental R² (PRS and covariates vs. covariates-alone): 0.0393		 age, sex, BMI, PCs —
PPM001351 PGS000658
(PRS-TC)
 PSS000589|
East Asian Ancestry|
1,941 individuals
 PGP000121 |
Tam CHT et al. Genome Med (2021)
 Reported Trait: Total cholesterol at baseline (log transformed) β: 0.036 (0.004) — Pearson Correlation Coefficient (r): 0.187
Incremental R² (PRS and covariates vs. covariates-alone): 0.0332		 age, sex, BMI, PCs —
PPM001349 PGS000658
(PRS-TC)
 PSS000587|
East Asian Ancestry|
426 individuals
 PGP000121 |
Tam CHT et al. Genome Med (2021)
 Reported Trait: Total cholesterol at baseline (log transformed) β: 0.043 (0.008) — Pearson Correlation Coefficient (r): 0.251
Incremental R² (PRS and covariates vs. covariates-alone): 0.0506		 age, sex, BMI, PCs —
PPM001352 PGS000658
(PRS-TC)
 PSS000591|
East Asian Ancestry|
865 individuals
 PGP000121 |
Tam CHT et al. Genome Med (2021)
 Reported Trait: Total cholesterol at baseline (log transformed) β: 0.034 (0.006) — Pearson Correlation Coefficient (r): 0.173
Incremental R² (PRS and covariates vs. covariates-alone): 0.0298		 age, sex, BMI, PCs —
PPM001405 PGS000677
(snpnet.Cholesterol_adjstatins)
 PSS000662|
African Ancestry|
6,014 individuals
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Reported Trait: Cholesterol [mmol/L] (statin adjusted) — — R²: 0.1282
Spearman's ρ: 0.26		 Age, sex, PCs(1-40) —
PPM001440 PGS000677
(snpnet.Cholesterol_adjstatins)
 PSS000663|
East Asian Ancestry|
1,082 individuals
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Reported Trait: Cholesterol [mmol/L] (statin adjusted) — — R²: 0.17187
Spearman's ρ: 0.314		 Age, sex, PCs(1-40) —
PPM001475 PGS000677
(snpnet.Cholesterol_adjstatins)
 PSS000664|
European Ancestry|
23,581 individuals
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Reported Trait: Cholesterol [mmol/L] (statin adjusted) — — R²: 0.26423
Spearman's ρ: 0.421		 Age, sex, PCs(1-40) —
PPM001510 PGS000677
(snpnet.Cholesterol_adjstatins)
 PSS000665|
South Asian Ancestry|
7,336 individuals
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Reported Trait: Cholesterol [mmol/L] (statin adjusted) — — R²: 0.1266
Spearman's ρ: 0.3		 Age, sex, PCs(1-40) —
PPM001545 PGS000677
(snpnet.Cholesterol_adjstatins)
 PSS000666|
European Ancestry|
63,794 individuals
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Reported Trait: Cholesterol [mmol/L] (statin adjusted) — — R²: 0.26395
Spearman's ρ: 0.429		 Age, sex, PCs(1-40) —
PPM001574 PGS000677
(snpnet.Cholesterol_adjstatins)
 PSS000798|
European Ancestry|
2,004 individuals
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Reported Trait: Cholesterol [mmol/L] (statin adjusted) — — Spearman's ρ: 0.173 Age, sex —
PPM001573 PGS000677
(snpnet.Cholesterol_adjstatins)
 PSS000797|
European Ancestry|
2,129 individuals
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Reported Trait: Cholesterol [mmol/L] (statin adjusted) — — Spearman's ρ: 0.184 Age, sex —
PPM007310 PGS000677
(snpnet.Cholesterol_adjstatins)
 PSS007126|
African Ancestry|
6,097 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.		 Reported Trait: Cholesterol — — R²: 0.04241 [0.03283, 0.052]
Incremental R2 (full-covars): 0.03032
PGS R2 (no covariates): 0.05951 [0.04835, 0.07066]		 age, sex, UKB array type, Genotype PCs —
PPM007311 PGS000677
(snpnet.Cholesterol_adjstatins)
 PSS007127|
East Asian Ancestry|
1,616 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.		 Reported Trait: Cholesterol — — R²: 0.06535 [0.04271, 0.08799]
Incremental R2 (full-covars): 0.03188
PGS R2 (no covariates): 0.07616 [0.052, 0.10032]		 age, sex, UKB array type, Genotype PCs —
PPM007312 PGS000677
(snpnet.Cholesterol_adjstatins)
 PSS007128|
European Ancestry|
23,774 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.		 Reported Trait: Cholesterol — — R²: 0.07903 [0.0726, 0.08546]
Incremental R2 (full-covars): 0.04607
PGS R2 (no covariates): 0.10696 [0.0997, 0.11421]		 age, sex, UKB array type, Genotype PCs —
PPM007313 PGS000677
(snpnet.Cholesterol_adjstatins)
 PSS007129|
South Asian Ancestry|
7,426 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.		 Reported Trait: Cholesterol — — R²: 0.05766 [0.04764, 0.06768]
Incremental R2 (full-covars): 0.02119
PGS R2 (no covariates): 0.04196 [0.03327, 0.05065]		 age, sex, UKB array type, Genotype PCs —
PPM007314 PGS000677
(snpnet.Cholesterol_adjstatins)
 PSS007130|
European Ancestry|
64,473 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.		 Reported Trait: Cholesterol — — R²: 0.07898 [0.07507, 0.08288]
Incremental R2 (full-covars): 0.04327
PGS R2 (no covariates): 0.09873 [0.09445, 0.103]		 age, sex, UKB array type, Genotype PCs —
PPM002237 PGS000831
(Total_cholesterol_PGS)
 PSS001083|
Multi-ancestry (including European)|
2,531 individuals
 PGP000210 |
Zubair N et al. Sci Rep (2019)
 Reported Trait: Total cholesterol — — R²: 0.087 Age at baseline, sex, enrollment channel, PCs(1-7), observation season, observation vendor —
PPM010043 PGS001895
(portability-PLR_cholesterol)
 PSS009391|
European Ancestry|
19,002 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Cholesterol — — Partial Correlation (partial-r): 0.3271 [0.3143, 0.3397] sex, age, birth date, deprivation index, 16 PCs —
PPM010044 PGS001895
(portability-PLR_cholesterol)
 PSS009165|
European Ancestry|
3,952 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Cholesterol — — Partial Correlation (partial-r): 0.343 [0.3152, 0.3703] sex, age, birth date, deprivation index, 16 PCs —
PPM010045 PGS001895
(portability-PLR_cholesterol)
 PSS008719|
European Ancestry|
6,326 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Cholesterol — — Partial Correlation (partial-r): 0.3093 [0.2868, 0.3314] sex, age, birth date, deprivation index, 16 PCs —
PPM010046 PGS001895
(portability-PLR_cholesterol)
 PSS008493|
Greater Middle Eastern Ancestry|
1,126 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Cholesterol — — Partial Correlation (partial-r): 0.2914 [0.2365, 0.3444] sex, age, birth date, deprivation index, 16 PCs —
PPM010047 PGS001895
(portability-PLR_cholesterol)
 PSS008271|
South Asian Ancestry|
6,001 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Cholesterol — — Partial Correlation (partial-r): 0.2092 [0.1848, 0.2333] sex, age, birth date, deprivation index, 16 PCs —
PPM010048 PGS001895
(portability-PLR_cholesterol)
 PSS008048|
East Asian Ancestry|
1,717 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Cholesterol — — Partial Correlation (partial-r): 0.2781 [0.2336, 0.3215] sex, age, birth date, deprivation index, 16 PCs —
PPM010049 PGS001895
(portability-PLR_cholesterol)
 PSS007835|
African Ancestry|
2,343 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Cholesterol — — Partial Correlation (partial-r): 0.2749 [0.2369, 0.3121] sex, age, birth date, deprivation index, 16 PCs —
PPM010050 PGS001895
(portability-PLR_cholesterol)
 PSS008939|
African Ancestry|
3,656 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Cholesterol — — Partial Correlation (partial-r): 0.203 [0.1716, 0.234] sex, age, birth date, deprivation index, 16 PCs —
PPM022465 PGS001895
(portability-PLR_cholesterol)
 PSS011950|
Multi-ancestry (including European)|
151 individuals
 PGP000716 |
Ying S et al. BMC Med Genomics (2023)
|Ext.		 Reported Trait: Total cholesterol in 22q11.2 microdeletion carriers β: 0.2494 (0.0851) — — sex, age, BMI, T2D, Psychotic illness, Originating ascertainment cohort, Sequencing platform, PC1-4 —
PPM011719 PGS002108
(portability-ldpred2_cholesterol)
 PSS009391|
European Ancestry|
19,002 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Cholesterol — — Partial Correlation (partial-r): 0.3292 [0.3165, 0.3418] sex, age, birth date, deprivation index, 16 PCs —
PPM011720 PGS002108
(portability-ldpred2_cholesterol)
 PSS009165|
European Ancestry|
3,952 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Cholesterol — — Partial Correlation (partial-r): 0.3416 [0.3137, 0.3689] sex, age, birth date, deprivation index, 16 PCs —
PPM011721 PGS002108
(portability-ldpred2_cholesterol)
 PSS008719|
European Ancestry|
6,326 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Cholesterol — — Partial Correlation (partial-r): 0.3064 [0.2839, 0.3286] sex, age, birth date, deprivation index, 16 PCs —
PPM011722 PGS002108
(portability-ldpred2_cholesterol)
 PSS008493|
Greater Middle Eastern Ancestry|
1,126 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Cholesterol — — Partial Correlation (partial-r): 0.2983 [0.2437, 0.3511] sex, age, birth date, deprivation index, 16 PCs —
PPM011723 PGS002108
(portability-ldpred2_cholesterol)
 PSS008271|
South Asian Ancestry|
6,001 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Cholesterol — — Partial Correlation (partial-r): 0.215 [0.1907, 0.239] sex, age, birth date, deprivation index, 16 PCs —
PPM011724 PGS002108
(portability-ldpred2_cholesterol)
 PSS008048|
East Asian Ancestry|
1,717 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Cholesterol — — Partial Correlation (partial-r): 0.2733 [0.2287, 0.3168] sex, age, birth date, deprivation index, 16 PCs —
PPM011725 PGS002108
(portability-ldpred2_cholesterol)
 PSS007835|
African Ancestry|
2,343 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Cholesterol — — Partial Correlation (partial-r): 0.266 [0.2278, 0.3034] sex, age, birth date, deprivation index, 16 PCs —
PPM011726 PGS002108
(portability-ldpred2_cholesterol)
 PSS008939|
African Ancestry|
3,656 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Cholesterol — — Partial Correlation (partial-r): 0.1947 [0.1632, 0.2258] sex, age, birth date, deprivation index, 16 PCs —
PPM022510 PGS002108
(portability-ldpred2_cholesterol)
 PSS011984|
European Ancestry|
28,880 individuals
 PGP000721 |
Sadler MC et al. Nat Commun (2025)
|Ext.		 Reported Trait: Total cholesterol response to statin (absolute difference) β: -0.057 (0.005) — — sex, age and drug-specific covariates beta unit = mmol/L
PPM022511 PGS002108
(portability-ldpred2_cholesterol)
 PSS011984|
European Ancestry|
28,880 individuals
 PGP000721 |
Sadler MC et al. Nat Commun (2025)
|Ext.		 Reported Trait: Total cholesterol response to statin (relative logarithmic difference) β: 0.858 (0.095) — — sex, age and drug-specific covariates beta unit = %
PPM012985 PGS002286
(GRS_286_TC)
 PSS009639|
African Ancestry|
2,569 individuals
 PGP000313 |
Kamiza AB et al. Nat Med (2022)
 Reported Trait: Total cholesterol levels — AUROC: 0.651 [0.631, 0.671] R²: 0.0693 age, sex, type 2 diabetes, PC1, PC2, PC3, PC4, PC5 Nagelkerke’s R2 (estimate of variance explained by the PGS after covariate adjustment)
PPM013117 PGS002352
(biochemistry_Cholesterol.BOLT-LMM)
 PSS009851|
African Ancestry|
6,080 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Total cholesterol — — Incremental R2 (full model vs. covariates alone): 0.0522 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013166 PGS002352
(biochemistry_Cholesterol.BOLT-LMM)
 PSS009852|
East Asian Ancestry|
877 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Total cholesterol — — Incremental R2 (full model vs. covariates alone): 0.0808 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013264 PGS002352
(biochemistry_Cholesterol.BOLT-LMM)
 PSS009854|
South Asian Ancestry|
7,655 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Total cholesterol — — Incremental R2 (full model vs. covariates alone): 0.0474 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013215 PGS002352
(biochemistry_Cholesterol.BOLT-LMM)
 PSS009853|
European Ancestry|
41,214 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Total cholesterol — — Incremental R2 (full model vs. covariates alone): 0.1036 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013289 PGS002377
(biochemistry_Cholesterol.BOLT-LMM-BBJ)
 PSS009851|
African Ancestry|
6,080 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Total cholesterol — — Incremental R2 (full model vs. covariates alone): 0.0119 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013312 PGS002377
(biochemistry_Cholesterol.BOLT-LMM-BBJ)
 PSS009852|
East Asian Ancestry|
877 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Total cholesterol — — Incremental R2 (full model vs. covariates alone): 0.0638 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013335 PGS002377
(biochemistry_Cholesterol.BOLT-LMM-BBJ)
 PSS009853|
European Ancestry|
41,214 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Total cholesterol — — Incremental R2 (full model vs. covariates alone): 0.008 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013358 PGS002377
(biochemistry_Cholesterol.BOLT-LMM-BBJ)
 PSS009854|
South Asian Ancestry|
7,655 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Total cholesterol — — Incremental R2 (full model vs. covariates alone): 0.0076 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013405 PGS002424
(biochemistry_Cholesterol.P+T.0.0001)
 PSS009851|
African Ancestry|
6,080 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Total cholesterol — — Incremental R2 (full model vs. covariates alone): 0.0064 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013454 PGS002424
(biochemistry_Cholesterol.P+T.0.0001)
 PSS009852|
East Asian Ancestry|
877 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Total cholesterol — — Incremental R2 (full model vs. covariates alone): 0.0439 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013503 PGS002424
(biochemistry_Cholesterol.P+T.0.0001)
 PSS009853|
European Ancestry|
41,214 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Total cholesterol — — Incremental R2 (full model vs. covariates alone): 0.069 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013552 PGS002424
(biochemistry_Cholesterol.P+T.0.0001)
 PSS009854|
South Asian Ancestry|
7,655 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Total cholesterol — — Incremental R2 (full model vs. covariates alone): 0.0221 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013601 PGS002473
(biochemistry_Cholesterol.P+T.0.001)
 PSS009851|
African Ancestry|
6,080 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Total cholesterol — — Incremental R2 (full model vs. covariates alone): 0.0004 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013650 PGS002473
(biochemistry_Cholesterol.P+T.0.001)
 PSS009852|
East Asian Ancestry|
877 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Total cholesterol — — Incremental R2 (full model vs. covariates alone): 0.0333 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013699 PGS002473
(biochemistry_Cholesterol.P+T.0.001)
 PSS009853|
European Ancestry|
41,214 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Total cholesterol — — Incremental R2 (full model vs. covariates alone): 0.0652 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013748 PGS002473
(biochemistry_Cholesterol.P+T.0.001)
 PSS009854|
South Asian Ancestry|
7,655 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Total cholesterol — — Incremental R2 (full model vs. covariates alone): 0.0148 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013797 PGS002522
(biochemistry_Cholesterol.P+T.0.01)
 PSS009851|
African Ancestry|
6,080 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Total cholesterol — — Incremental R2 (full model vs. covariates alone): 0.0006 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013846 PGS002522
(biochemistry_Cholesterol.P+T.0.01)
 PSS009852|
East Asian Ancestry|
877 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Total cholesterol — — Incremental R2 (full model vs. covariates alone): 0.006 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013895 PGS002522
(biochemistry_Cholesterol.P+T.0.01)
 PSS009853|
European Ancestry|
41,214 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Total cholesterol — — Incremental R2 (full model vs. covariates alone): 0.0224 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013944 PGS002522
(biochemistry_Cholesterol.P+T.0.01)
 PSS009854|
South Asian Ancestry|
7,655 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Total cholesterol — — Incremental R2 (full model vs. covariates alone): 0.004 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM039078 PGS002522
(biochemistry_Cholesterol.P+T.0.01)
 PSS013916|
European Ancestry|
425,240 individuals
 PGP000865 |
Bhatt IS et al. J Assoc Res Otolaryngol (2024)
|Ext.		 Reported Trait: Age-related hearing difficulty β: -0.03198 — — — —
PPM014042 PGS002571
(biochemistry_Cholesterol.P+T.1e-06)
 PSS009852|
East Asian Ancestry|
877 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Total cholesterol — — Incremental R2 (full model vs. covariates alone): 0.04 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014091 PGS002571
(biochemistry_Cholesterol.P+T.1e-06)
 PSS009853|
European Ancestry|
41,214 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Total cholesterol — — Incremental R2 (full model vs. covariates alone): 0.064 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014140 PGS002571
(biochemistry_Cholesterol.P+T.1e-06)
 PSS009854|
South Asian Ancestry|
7,655 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Total cholesterol — — Incremental R2 (full model vs. covariates alone): 0.0226 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013993 PGS002571
(biochemistry_Cholesterol.P+T.1e-06)
 PSS009851|
African Ancestry|
6,080 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Total cholesterol — — Incremental R2 (full model vs. covariates alone): 0.0255 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014238 PGS002620
(biochemistry_Cholesterol.P+T.5e-08)
 PSS009852|
East Asian Ancestry|
877 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Total cholesterol — — Incremental R2 (full model vs. covariates alone): 0.0383 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014287 PGS002620
(biochemistry_Cholesterol.P+T.5e-08)
 PSS009853|
European Ancestry|
41,214 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Total cholesterol — — Incremental R2 (full model vs. covariates alone): 0.0615 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014336 PGS002620
(biochemistry_Cholesterol.P+T.5e-08)
 PSS009854|
South Asian Ancestry|
7,655 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Total cholesterol — — Incremental R2 (full model vs. covariates alone): 0.0223 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014189 PGS002620
(biochemistry_Cholesterol.P+T.5e-08)
 PSS009851|
African Ancestry|
6,080 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Total cholesterol — — Incremental R2 (full model vs. covariates alone): 0.0312 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014385 PGS002669
(biochemistry_Cholesterol.PolyFun-pred)
 PSS009851|
African Ancestry|
6,080 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Total cholesterol — — Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0835 age, sex, age*sex, assessment center, genotyping array, 10 PCs See biochemistry_Cholesterol.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014483 PGS002669
(biochemistry_Cholesterol.PolyFun-pred)
 PSS009853|
European Ancestry|
41,214 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Total cholesterol — — Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1127 age, sex, age*sex, assessment center, genotyping array, 10 PCs See biochemistry_Cholesterol.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014532 PGS002669
(biochemistry_Cholesterol.PolyFun-pred)
 PSS009854|
South Asian Ancestry|
7,655 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Total cholesterol — — Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0526 age, sex, age*sex, assessment center, genotyping array, 10 PCs See biochemistry_Cholesterol.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014434 PGS002669
(biochemistry_Cholesterol.PolyFun-pred)
 PSS009852|
East Asian Ancestry|
877 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Total cholesterol — — Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0838 age, sex, age*sex, assessment center, genotyping array, 10 PCs See biochemistry_Cholesterol.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014581 PGS002718
(biochemistry_Cholesterol.SBayesR)
 PSS009851|
African Ancestry|
6,080 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Total cholesterol — — Incremental R2 (full model vs. covariates alone): 0.0498 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014630 PGS002718
(biochemistry_Cholesterol.SBayesR)
 PSS009852|
East Asian Ancestry|
877 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Total cholesterol — — Incremental R2 (full model vs. covariates alone): 0.0638 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014679 PGS002718
(biochemistry_Cholesterol.SBayesR)
 PSS009853|
European Ancestry|
41,214 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Total cholesterol — — Incremental R2 (full model vs. covariates alone): 0.0966 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014728 PGS002718
(biochemistry_Cholesterol.SBayesR)
 PSS009854|
South Asian Ancestry|
7,655 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Total cholesterol — — Incremental R2 (full model vs. covariates alone): 0.0413 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM016163 PGS002783
(GLGC_2021_ALL_TC_PRS_weights_PT)
 PSS010052|
Multi-ancestry (including European)|
461,918 individuals
 PGP000366 |
Kanoni S et al. Genome Biol (2022)
 Reported Trait: Baseline Total cholesterol — — R²: 0.14 sex, batch, age at initial assessment, PCs1-4 —
PPM016028 PGS003134
(ExPRSweb_TC_30690-irnt_LASSOSUM_MGI_20211120)
 PSS010015|
European Ancestry|
9,115 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Total Cholesterol β: 8.9 (0.343) — R²: 0.0624 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM016031 PGS003135
(ExPRSweb_TC_30690-irnt_PT_MGI_20211120)
 PSS010015|
European Ancestry|
9,115 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Total Cholesterol β: 8.69 (0.341) — R²: 0.0607 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM016029 PGS003136
(ExPRSweb_TC_30690-irnt_PLINK_MGI_20211120)
 PSS010015|
European Ancestry|
9,115 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Total Cholesterol β: 8.81 (0.339) — R²: 0.063 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM016027 PGS003137
(ExPRSweb_TC_30690-irnt_DBSLMM_MGI_20211120)
 PSS010015|
European Ancestry|
9,115 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Total Cholesterol β: 8.76 (0.335) — R²: 0.0639 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM016030 PGS003138
(ExPRSweb_TC_30690-irnt_PRSCS_MGI_20211120)
 PSS010015|
European Ancestry|
9,115 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Total Cholesterol β: 9.39 (0.34) — R²: 0.07 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM016033 PGS003139
(ExPRSweb_TC_30690-raw_LASSOSUM_MGI_20211120)
 PSS010015|
European Ancestry|
9,115 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Total Cholesterol β: 8.78 (0.344) — R²: 0.0608 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM016036 PGS003140
(ExPRSweb_TC_30690-raw_PT_MGI_20211120)
 PSS010015|
European Ancestry|
9,115 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Total Cholesterol β: 8.69 (0.341) — R²: 0.0608 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM016034 PGS003141
(ExPRSweb_TC_30690-raw_PLINK_MGI_20211120)
 PSS010015|
European Ancestry|
9,115 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Total Cholesterol β: 8.82 (0.339) — R²: 0.0634 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM016032 PGS003142
(ExPRSweb_TC_30690-raw_DBSLMM_MGI_20211120)
 PSS010015|
European Ancestry|
9,115 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Total Cholesterol β: 8.8 (0.335) — R²: 0.0643 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM016035 PGS003143
(ExPRSweb_TC_30690-raw_PRSCS_MGI_20211120)
 PSS010015|
European Ancestry|
9,115 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Total Cholesterol β: 9.33 (0.34) — R²: 0.0691 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM016180 PGS003341
(CVGRS_TC)
 PSS010055|
East Asian Ancestry|
22,608 individuals
 PGP000405 |
Kim YJ et al. Nat Commun (2022)
 Reported Trait: Total cholesterol β: 0.28536 — — — —
PPM016197 PGS003341
(CVGRS_TC)
 PSS010055|
East Asian Ancestry|
22,608 individuals
 PGP000405 |
Kim YJ et al. Nat Commun (2022)
 Reported Trait: Type 2 diabetes OR: 0.98882 — — — —
PPM016189 PGS003350
(ALLGRS_TC)
 PSS010055|
East Asian Ancestry|
22,608 individuals
 PGP000405 |
Kim YJ et al. Nat Commun (2022)
 Reported Trait: Total cholesterol β: 0.29361 — — — —
PPM017290 PGS003481
(LDPred2_TC)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Respiratory event index β: 0.002 (0.01) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017313 PGS003481
(LDPred2_TC)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Obstructive sleep apnea β: -0.024 (0.025) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017507 PGS003495
(cont-decay-cholesterol)
 PSS010830|
European Ancestry|
3,941 individuals
 PGP000457 |
Ding Y et al. Nature (2023)
 Reported Trait: Cholesterol — — partial-R2: 0.11 sex, age, deprivation index, PC1-16 —
PPM017675 PGS003495
(cont-decay-cholesterol)
 PSS010578|
Greater Middle Eastern Ancestry|
1,097 individuals
 PGP000457 |
Ding Y et al. Nature (2023)
 Reported Trait: Cholesterol — — partial-R2: 0.08 sex, age, deprivation index, PC1-16 —
PPM017759 PGS003495
(cont-decay-cholesterol)
 PSS010242|
European Ancestry|
2,237 individuals
 PGP000457 |
Ding Y et al. Nature (2023)
 Reported Trait: Cholesterol — — partial-R2: 0.07 sex, age, deprivation index, PC1-16 —
PPM017843 PGS003495
(cont-decay-cholesterol)
 PSS010494|
South Asian Ancestry|
5,947 individuals
 PGP000457 |
Ding Y et al. Nature (2023)
 Reported Trait: Cholesterol — — partial-R2: 0.04 sex, age, deprivation index, PC1-16 —
PPM017927 PGS003495
(cont-decay-cholesterol)
 PSS010410|
East Asian Ancestry|
1,706 individuals
 PGP000457 |
Ding Y et al. Nature (2023)
 Reported Trait: Cholesterol — — partial-R2: 0.07 sex, age, deprivation index, PC1-16 —
PPM018011 PGS003495
(cont-decay-cholesterol)
 PSS010326|
African Ancestry|
2,331 individuals
 PGP000457 |
Ding Y et al. Nature (2023)
 Reported Trait: Cholesterol — — partial-R2: 0.06 sex, age, deprivation index, PC1-16 —
PPM018095 PGS003495
(cont-decay-cholesterol)
 PSS010746|
African Ancestry|
3,627 individuals
 PGP000457 |
Ding Y et al. Nature (2023)
 Reported Trait: Cholesterol — — partial-R2: 0.04 sex, age, deprivation index, PC1-16 —
PPM017423 PGS003495
(cont-decay-cholesterol)
 PSS010914|
European Ancestry|
19,116 individuals
 PGP000457 |
Ding Y et al. Nature (2023)
 Reported Trait: Cholesterol — — partial-R2: 0.1 sex, age, deprivation index, PC1-16 —
PPM017591 PGS003495
(cont-decay-cholesterol)
 PSS010662|
European Ancestry|
6,174 individuals
 PGP000457 |
Ding Y et al. Nature (2023)
 Reported Trait: Cholesterol — — partial-R2: 0.09 sex, age, deprivation index, PC1-16 —
PPM018625 PGS003818
(TC_EUR_CT)
 PSS011049|
European Ancestry|
9,539 individuals
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Reported Trait: Total cholesterol — — R²: 0.07254 — —
PPM018626 PGS003819
(TC_EUR_LDpred2)
 PSS011049|
European Ancestry|
9,539 individuals
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Reported Trait: Total cholesterol — — R²: 0.0626 — —
PPM018627 PGS003820
(TC_AFR_CT)
 PSS011047|
African Ancestry|
4,302 individuals
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Reported Trait: Total cholesterol — — R²: 0.07482 — —
PPM018628 PGS003821
(TC_AFR_LDpred2)
 PSS011047|
African Ancestry|
4,302 individuals
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Reported Trait: Total cholesterol — — R²: 0.05914 — —
PPM018629 PGS003822
(TC_AFR_weighted_LDpred2)
 PSS011047|
African Ancestry|
4,302 individuals
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Reported Trait: Total cholesterol — — R²: 0.07122 — —
PPM018630 PGS003823
(TC_AFR_PRSCSx)
 PSS011047|
African Ancestry|
4,302 individuals
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Reported Trait: Total cholesterol — — R²: 0.08584 — —
PPM018631 PGS003824
(TC_AFR_CTSLEB)
 PSS011047|
African Ancestry|
4,302 individuals
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Reported Trait: Total cholesterol — — R²: 0.10208 — —
PPM018632 PGS003825
(TC_EAS_CT)
 PSS011048|
East Asian Ancestry|
971 individuals
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Reported Trait: Total cholesterol — — R²: 0.06332 — —
PPM018633 PGS003826
(TC_EAS_LDpred2)
 PSS011048|
East Asian Ancestry|
971 individuals
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Reported Trait: Total cholesterol — — R²: 0.07017 — —
PPM018634 PGS003827
(TC_EAS_weighted_LDpred2)
 PSS011048|
East Asian Ancestry|
971 individuals
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Reported Trait: Total cholesterol — — R²: 0.08867 — —
PPM018635 PGS003828
(TC_EAS_PRSCSx)
 PSS011048|
East Asian Ancestry|
971 individuals
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Reported Trait: Total cholesterol — — R²: 0.05696 — —
PPM018636 PGS003829
(TC_EAS_CTSLEB)
 PSS011048|
East Asian Ancestry|
971 individuals
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Reported Trait: Total cholesterol — — R²: 0.07409 — —
PPM018637 PGS003830
(TC_SAS_CT)
 PSS011050|
South Asian Ancestry|
5,153 individuals
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Reported Trait: Total cholesterol — — R²: 0.01804 — —
PPM018638 PGS003831
(TC_SAS_LDpred2)
 PSS011050|
South Asian Ancestry|
5,153 individuals
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Reported Trait: Total cholesterol — — R²: 0.02349 — —
PPM018639 PGS003832
(TC_SAS_weighted_LDpred2)
 PSS011050|
South Asian Ancestry|
5,153 individuals
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Reported Trait: Total cholesterol — — R²: 0.03949 — —
PPM018640 PGS003833
(TC_SAS_PRSCSx)
 PSS011050|
South Asian Ancestry|
5,153 individuals
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Reported Trait: Total cholesterol — — R²: 0.04777 — —
PPM018641 PGS003834
(TC_SAS_CTSLEB)
 PSS011050|
South Asian Ancestry|
5,153 individuals
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Reported Trait: Total cholesterol — — R²: 0.04008 — —
PPM018685 PGS003853
(PRS60_TC)
 PSS011066|
East Asian Ancestry|
37,317 individuals
 PGP000493 |
Li J et al. JAMA Netw Open (2023)
 Reported Trait: Estimated annual change of total cholesterol — — p-value (inferior to): 0.001 — —
PPM018689 PGS003853
(PRS60_TC)
 PSS011068|
East Asian Ancestry|
15,664 individuals
 PGP000493 |
Li J et al. JAMA Netw Open (2023)
 Reported Trait: Estimated annual change of total cholesterol — — p-value (inferior to): 0.001 — —
PPM018693 PGS003853
(PRS60_TC)
 PSS011067|
East Asian Ancestry|
21,653 individuals
 PGP000493 |
Li J et al. JAMA Netw Open (2023)
 Reported Trait: Estimated annual change of total cholesterol — — p-value (inferior to): 0.001 — —
PPM020448 PGS004333
(X30690.score)
 PSS011364|
European Ancestry|
56,192 individuals
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Reported Trait: Cholesterol (mmol/L) — — PGS R2 (no covariates): 0.17267 — —
PPM020852 PGS004667
(TC_AFR_lassosum2)
 PSS011421|
African Ancestry|
4,302 individuals
 PGP000595 |
Zhang J et al. Nat Commun (2024)
 Reported Trait: Total cholesterol — — adjusted R2: 0.1178 — —
PPM020853 PGS004668
(TC_AFR_ldpred2)
 PSS011421|
African Ancestry|
4,302 individuals
 PGP000595 |
Zhang J et al. Nat Commun (2024)
 Reported Trait: Total cholesterol — — adjusted R2: 0.1045 — —
PPM020854 PGS004669
(TC_AFR_PROSPER)
 PSS011421|
African Ancestry|
4,302 individuals
 PGP000595 |
Zhang J et al. Nat Commun (2024)
 Reported Trait: Total cholesterol — — adjusted R2: 0.132 — —
PPM020855 PGS004670
(TC_AFR_weighted_lassosum2)
 PSS011421|
African Ancestry|
4,302 individuals
 PGP000595 |
Zhang J et al. Nat Commun (2024)
 Reported Trait: Total cholesterol — — adjusted R2: 0.1232 — —
PPM020856 PGS004671
(TC_AFR_weighted_ldpred2)
 PSS011421|
African Ancestry|
4,302 individuals
 PGP000595 |
Zhang J et al. Nat Commun (2024)
 Reported Trait: Total cholesterol — — adjusted R2: 0.1138 — —
PPM020857 PGS004672
(TC_EAS_lassosum2)
 PSS011425|
East Asian Ancestry|
971 individuals
 PGP000595 |
Zhang J et al. Nat Commun (2024)
 Reported Trait: Total cholesterol — — adjusted R2: 0.0758 — —
PPM020858 PGS004673
(TC_EAS_ldpred2)
 PSS011425|
East Asian Ancestry|
971 individuals
 PGP000595 |
Zhang J et al. Nat Commun (2024)
 Reported Trait: Total cholesterol — — adjusted R2: 0.077 — —
PPM020859 PGS004674
(TC_EAS_PROSPER)
 PSS011425|
East Asian Ancestry|
971 individuals
 PGP000595 |
Zhang J et al. Nat Commun (2024)
 Reported Trait: Total cholesterol — — adjusted R2: 0.074 — —
PPM020860 PGS004675
(TC_EAS_weighted_lassosum2)
 PSS011425|
East Asian Ancestry|
971 individuals
 PGP000595 |
Zhang J et al. Nat Commun (2024)
 Reported Trait: Total cholesterol — — adjusted R2: 0.1059 — —
PPM020861 PGS004676
(TC_EAS_weighted_ldpred2)
 PSS011425|
East Asian Ancestry|
971 individuals
 PGP000595 |
Zhang J et al. Nat Commun (2024)
 Reported Trait: Total cholesterol — — adjusted R2: 0.1007 — —
PPM020862 PGS004677
(TC_SAS_lassosum2)
 PSS011429|
South Asian Ancestry|
5,153 individuals
 PGP000595 |
Zhang J et al. Nat Commun (2024)
 Reported Trait: Total cholesterol — — adjusted R2: 0.0282 — —
PPM020863 PGS004678
(TC_SAS_ldpred2)
 PSS011429|
South Asian Ancestry|
5,153 individuals
 PGP000595 |
Zhang J et al. Nat Commun (2024)
 Reported Trait: Total cholesterol — — adjusted R2: 0.0287 — —
PPM020864 PGS004679
(TC_SAS_PROSPER)
 PSS011429|
South Asian Ancestry|
5,153 individuals
 PGP000595 |
Zhang J et al. Nat Commun (2024)
 Reported Trait: Total cholesterol — — adjusted R2: 0.0527 — —
PPM020865 PGS004680
(TC_SAS_weighted_lassosum2)
 PSS011429|
South Asian Ancestry|
5,153 individuals
 PGP000595 |
Zhang J et al. Nat Commun (2024)
 Reported Trait: Total cholesterol — — adjusted R2: 0.0491 — —
PPM020866 PGS004681
(TC_SAS_weighted_ldpred2)
 PSS011429|
South Asian Ancestry|
5,153 individuals
 PGP000595 |
Zhang J et al. Nat Commun (2024)
 Reported Trait: Total cholesterol — — adjusted R2: 0.0513 — —
PPM021066 PGS004841
(tc_PRSmix_eur)
 PSS011508|
European Ancestry|
4,193 individuals
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Reported Trait: Total cholesterol — — Incremental R2 (Full model versus model with only covariates): 0.086 [0.07, 0.103] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021067 PGS004842
(tc_PRSmix_sas)
 PSS011509|
South Asian Ancestry|
5,731 individuals
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Reported Trait: Total cholesterol — — Incremental R2 (Full model versus model with only covariates): 0.112 [0.097, 0.128] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021068 PGS004843
(tc_PRSmixPlus_eur)
 PSS011508|
European Ancestry|
4,193 individuals
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Reported Trait: Total cholesterol — — Incremental R2 (Full model versus model with only covariates): 0.102 [0.085, 0.12] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021069 PGS004844
(tc_PRSmixPlus_sas)
 PSS011509|
South Asian Ancestry|
5,731 individuals
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Reported Trait: Total cholesterol — — Incremental R2 (Full model versus model with only covariates): 0.127 [0.111, 0.143] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM037990 PGS019808
(TPMI_TC_Lassosum2)
 PSS013794|
East Asian Ancestry|
9,627 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Total cholesterol — AUROC: 0.79524 R²: 0.07131 sex, age, array, PCs 1-10 —
PPM038014 PGS019832
(TPMI_TC_LDPred2)
 PSS013793|
East Asian Ancestry|
9,627 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Total cholesterol — AUROC: 0.65128 R²: 0.07316 sex, age, array, PCs 1-10 —
PPM038038 PGS019856
(TPMI_TC_PRS-CS)
 PSS013796|
East Asian Ancestry|
9,627 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Total cholesterol — — R²: 0.07369 sex, age, array, PCs 1-10 —
PPM038062 PGS019880
(TPMI_TC_SBayesR)
 PSS013797|
East Asian Ancestry|
9,627 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Total cholesterol — AUROC: 0.67014 R²: 0.04419 sex, age, array, PCs 1-10 —
PPM038086 PGS019904
(TPMI_TC_MegaPRS)
 PSS013795|
East Asian Ancestry|
9,627 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Total cholesterol — AUROC: 0.83983 R²: 0.04611 sex, age, array, PCs 1-10 —

Evaluated Samples

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
PSS011429 — — 5,153 individuals,
53.0 % Male samples
 Mean = 53.37 years
Sd = 8.43 years		 South Asian — UKB —
PSS010914 — — 19,116 individuals,
46.0 % Male samples
 Mean = 56.9 years
Sd = 7.9 years		 European white British UKB —
PSS010662 — — 6,174 individuals,
45.0 % Male samples
 Mean = 54.5 years
Sd = 8.4 years		 European Italian UKB —
PSS009165 — — 3,952 individuals — European Poland (NE Europe) UKB —
PSS010052 — — 461,918 individuals — European, African unspecified, East Asian, South Asian — UKB —
PSS008271 — — 6,001 individuals — South Asian India (South Asia) UKB —
PSS010410 — — 1,706 individuals,
33.0 % Male samples
 Mean = 52.4 years
Sd = 7.8 years		 East Asian Chinese UKB —
PSS010055 — — 22,608 individuals — East Asian — KBA, KoGES —
PSS007126 — — 6,097 individuals — African unspecified — UKB —
PSS007127 — — 1,616 individuals — East Asian — UKB —
PSS007128 — — 23,774 individuals — European non-white British ancestry UKB —
PSS007129 — — 7,426 individuals — South Asian — UKB —
PSS007130 — — 64,473 individuals — European white British ancestry UKB Testing cohort (heldout set)
PSS001083 Of the 2,531 participants, 1,809 had longitudinal observations for total cholesterol (mg/dL), high density lipoprotein cholesterol (mg/dL) and trigycerides (mg/dL), 1,801 had longitudinal observations for low density lipoprotein cholesterol (mg/dL), 1,325 had longitudinal observations for waist circumference (inches), 2,355 had longitudinal observations for body mass index (kg/m^2) and 1,572 had longitudinal observations for homocysteine (μmol/L). — 2,531 individuals,
40.0 % Male samples
 Mean = 48.0 years
Sd = 12.0 years		 European, Asian unspecified, Hispanic or Latin American, African unspecified, NR European = 1,999, Asian unspecified = 228, Hispanic or Latin American = 101, African unspecified = 51, Not reported = 152 NR Participants were obtained from the Scientific Wellness Program.
PSS008939 — — 3,656 individuals — African unspecified Nigeria (West Africa) UKB —
PSS011047 — — 4,302 individuals,
42.0 % Male samples
 Mean = 51.82 years
Sd = 8.06 years		 African American or Afro-Caribbean
(African American)		 — UKB —
PSS011048 — — 971 individuals,
32.0 % Male samples
 Mean = 52.47 years
Sd = 7.81 years		 East Asian — UKB —
PSS011049 — — 9,539 individuals,
47.0 % Male samples
 Mean = 56.86 years
Sd = 8.05 years		 European — UKB —
PSS008048 — — 1,717 individuals — East Asian China (East Asia) UKB —
PSS011050 — — 5,153 individuals,
53.0 % Male samples
 Mean = 53.37 years
Sd = 8.43 years		 South Asian — UKB —
PSS010830 — — 3,941 individuals,
38.0 % Male samples
 Mean = 54.4 years
Sd = 7.5 years		 European Polish UKB —
PSS000376 We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA). — 1,354 individuals,
47.56 % Male samples
 Mean = 16.22 years
Sd = 0.66 years		 European — TRAILS —
PSS011950 Cohort of adults with a 22q11.2 microdeletion — 151 individuals,
50.0 % Male samples
 Median = 34.0 years European, Not reported — NR —
PSS009639 Non-fasting serum lipid levels were measured using the Cobas Integra 400 Plus Chemistry analyser, an automated analyser that employs four different technologies: absorption photometry, fluorescence polarization immunoassay, immune-turbidimetry, and potentiometry for accurate analysis. LDL-C were measured using the homogeneous enzymatic colorimetric assays — 2,569 individuals,
42.9 % Male samples
 Mean = 33.1 years
Ci = [18.0, 48.2] years		 Sub-Saharan African
(South Africans)		 — SAZ —
PSS010185 — — 1,115 individuals,
41.1 % Male samples
 Mean = 46.18 years Hispanic or Latin American — HCHS-SOL —
PSS010578 — — 1,097 individuals,
60.0 % Male samples
 Mean = 51.9 years
Sd = 8.0 years		 Greater Middle Eastern (Middle Eastern, North African or Persian) Iranian UKB —
PSS010326 — — 2,331 individuals,
37.0 % Male samples
 Mean = 52.5 years
Sd = 8.1 years		 African American or Afro-Caribbean Caribbean UKB —
PSS000587 Measured using fasting blood samples — 426 individuals,
46.0 % Male samples
 Mean = 43.3 years
Sd = 11.4 years		 East Asian
(Chinese)		 — NR Adults
PSS000589 Measured using fasting blood samples — 1,941 individuals,
57.7 % Male samples
 Mean = 58.2 years
Sd = 12.34 years		 East Asian
(Chinese)		 — HKDB —
PSS010015 LOW DENSITY LIPOPROTEIN CHOL + HIGH DENSITY LIPOPROTEIN CHOL + Triglycerides/5; Quantitative — 9,115 individuals — European — MGI —
PSS000591 Measured using fasting blood samples — 865 individuals,
57.6 % Male samples
 Mean = 57.0 years
Sd = 12.08 years		 East Asian
(Chinese)		 — HKDB —
PSS011508 — — 4,193 individuals — European — AllofUs —
PSS000593 Measured using fasting blood samples — 4,917 individuals,
44.9 % Male samples
 Mean = 56.3 years
Sd = 13.5 years		 East Asian
(Chinese)		 — HKDR —
PSS011509 — — 5,731 individuals — South Asian — G&H —
PSS008719 — — 6,326 individuals — European Italy (South Europe) UKB —
PSS011066 — — 37,317 individuals,
41.98 % Male samples
 Mean = 51.37 years
Sd = 10.82 years		 East Asian — InterASIA China MUCA, CIMIC
PSS011067 — — 21,653 individuals,
41.98 % Male samples
 Mean = 51.22 years
Sd = 10.78 years		 East Asian — InterASIA China MUCA, CIMIC
PSS000096 Lipid levels are represented in mg/dL, individuals on any lipid-lowering medication (n = 1,018) were omitted from all analyses. — 1,355 individuals,
46.2 % Male samples
 Mean = 61.68 years African American or Afro-Caribbean — MESA MESA Classic Cohort
PSS000097 Lipid levels are represented in mg/dL, individuals on any lipid-lowering medication (n = 1,018) were omitted from all analyses. — 666 individuals,
50.15 % Male samples
 Mean = 61.5 years East Asian — MESA MESA Classic Cohort
PSS000098 Lipid levels are represented in mg/dL, individuals on any lipid-lowering medication (n = 1,018) were omitted from all analyses. — 2,063 individuals,
46.78 % Male samples
 Mean = 62.09 years European — MESA MESA Classic Cohort
PSS000099 Lipid levels are represented in mg/dL, individuals on any lipid-lowering medication (n = 1,018) were omitted from all analyses. — 1,256 individuals,
48.89 % Male samples
 Mean = 60.65 years Hispanic or Latin American — MESA MESA Classic Cohort
PSS011068 — — 15,664 individuals,
41.98 % Male samples
 Mean = 51.57 years
Sd = 10.87 years		 East Asian — InterASIA China MUCA, CIMIC
PSS007835 — — 2,343 individuals — African American or Afro-Caribbean Carribean UKB —
PSS011364 — — 56,192 individuals — European — UKB —
PSS010746 — — 3,627 individuals,
46.0 % Male samples
 Mean = 51.9 years
Sd = 8.1 years		 African unspecified Nigerian UKB —
PSS010494 — — 5,947 individuals,
54.0 % Male samples
 Mean = 53.3 years
Sd = 8.4 years		 South Asian Indian UKB —
PSS010242 — — 2,237 individuals,
45.0 % Male samples
 Mean = 58.1 years
Sd = 7.1 years		 European Ashkenazi UKB —
PSS013794 — — 9,627 individuals,
46.67 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS013793 — — 9,627 individuals,
49.67 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS013796 — — 9,627 individuals,
49.67 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS013797 — — 9,627 individuals,
49.67 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS008493 — — 1,126 individuals — Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB —
PSS013795 — — 9,627 individuals,
49.67 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS009391 — — 19,002 individuals — European UK (+ Ireland) UKB —
PSS000662 — — 6,014 individuals — African unspecified — UKB —
PSS000663 — — 1,082 individuals — East Asian — UKB —
PSS000664 — — 23,581 individuals — European Non-British White UKB —
PSS000665 — — 7,336 individuals — South Asian — UKB —
PSS000666 — — 63,794 individuals — European
(British)		 — UKB —
PSS011984 — — 28,880 individuals — European
(British)		 — UKB —
PSS009851 — — 6,080 individuals — African unspecified — UKB —
PSS000797 — — 2,129 individuals — European Participants self-identifying as white MESA —
PSS000798 — — 2,004 individuals — European Participants self-identifying as white MESA —
PSS009852 — — 877 individuals — East Asian — UKB —
PSS009854 — — 7,655 individuals — South Asian — UKB —
PSS009853 — — 41,214 individuals — European Non-British European UKB —
PSS011421 — — 4,302 individuals,
42.0 % Male samples
 Mean = 51.82 years
Sd = 8.06 years		 African American or Afro-Caribbean — UKB —
PSS013916 — —
[
  • 111,243 cases
  • , 313,997 controls
]
,
46.21 % Male samples
 — European
(British, Irish)		 — UKB —
PSS011425 — — 971 individuals,
32.0 % Male samples
 Mean = 52.47 years
Sd = 7.81 years		 East Asian — UKB —