Trait: eosinophil count

Experimental Factor Ontology (EFO) Information
Identifier EFO_0004842
Description
  • Is a quantification of eosinphils in blood.
  • The number of granulocytes (polymorphonuclear leukocytes) in a specified volume of blood, usually 1 cubic millimeter.
Trait category
Hematological measurement
Synonym blood eosinophil count
Mapped terms 4 mapped terms
  • CMO:0000033
  • MedDRA:10014941
  • NCIt:C64550
  • SNOMEDCT:71960002
Child trait(s) eosinophil percentage of leukocytes

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
Note: This table shows all PGS for "eosinophil count" and any child terms of this trait in the EFO hierarchy by default.
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)
PGS000090
(eo)
 PGP000051 |
Xu Y et al. Cell Genom (2022)
 Eosinophil count eosinophil count 22,949
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000090/ScoringFiles/PGS000090.txt.gz
PGS000091
(eo_p)
 PGP000051 |
Xu Y et al. Cell Genom (2022)
 Eosinophil percentage of white cells eosinophil percentage of leukocytes 24,406
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000091/ScoringFiles/PGS000091.txt.gz
PGS000165
(eo)
 PGP000078 |
Vuckovic D et al. Cell (2020)
 Eosinophil count eosinophil count 607
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000165/ScoringFiles/PGS000165.txt.gz
PGS000166
(eo_p)
 PGP000078 |
Vuckovic D et al. Cell (2020)
 Eosinophil percentage of white cells eosinophil percentage of leukocytes 571
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000166/ScoringFiles/PGS000166.txt.gz
PGS001076
(GBE_INI30210)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Eosinophil percentage eosinophil percentage of leukocytes 12,563
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001076/ScoringFiles/PGS001076.txt.gz
PGS001172
(GBE_INI30150)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Eosinophil count eosinophil count 12,579
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001172/ScoringFiles/PGS001172.txt.gz
PGS001949
(portability-PLR_log_eosinophil_perc)
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Eosinophil percentage eosinophil percentage of leukocytes 9,236
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001949/ScoringFiles/PGS001949.txt.gz
PGS002167
(portability-ldpred2_log_eosinophil_perc)
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Eosinophil percentage eosinophil percentage of leukocytes 593,459
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002167/ScoringFiles/PGS002167.txt.gz
PGS002325
(blood_EOSINOPHIL_COUNT.BOLT-LMM)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Eosinophil count eosinophil count 1,109,311
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002325/ScoringFiles/PGS002325.txt.gz
PGS002364
(blood_EOSINOPHIL_COUNT.BOLT-LMM-BBJ)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Eosinophil count eosinophil count 920,929
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002364/ScoringFiles/PGS002364.txt.gz
PGS002397
(blood_EOSINOPHIL_COUNT.P+T.0.0001)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Eosinophil count eosinophil count 15,667
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002397/ScoringFiles/PGS002397.txt.gz
PGS002446
(blood_EOSINOPHIL_COUNT.P+T.0.001)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Eosinophil count eosinophil count 35,512
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002446/ScoringFiles/PGS002446.txt.gz
PGS002495
(blood_EOSINOPHIL_COUNT.P+T.0.01)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Eosinophil count eosinophil count 135,927
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002495/ScoringFiles/PGS002495.txt.gz
PGS002544
(blood_EOSINOPHIL_COUNT.P+T.1e-06)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Eosinophil count eosinophil count 6,683
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002544/ScoringFiles/PGS002544.txt.gz
PGS002593
(blood_EOSINOPHIL_COUNT.P+T.5e-08)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Eosinophil count eosinophil count 4,677
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002593/ScoringFiles/PGS002593.txt.gz
PGS002642
(blood_EOSINOPHIL_COUNT.PolyFun-pred)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Eosinophil count eosinophil count 346,331
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002642/ScoringFiles/PGS002642.txt.gz
PGS002691
(blood_EOSINOPHIL_COUNT.SBayesR)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Eosinophil count eosinophil count 980,421
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002691/ScoringFiles/PGS002691.txt.gz
PGS003464
(LDPred2_EOS)
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Eosinophil count eosinophil count 859,056
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003464/ScoringFiles/PGS003464.txt.gz
PGS003530
(cont-decay-log_eosinophil_perc)
 PGP000457 |
Ding Y et al. Nature (2023)
 Eosinophil percentage eosinophil percentage of leukocytes 979,739
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003530/ScoringFiles/PGS003530.txt.gz
PGS003939
(INI30150)
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Eosinophil count eosinophil count 16,859
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003939/ScoringFiles/PGS003939.txt.gz
PGS003944
(INI30210)
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Eosinophil percentage eosinophil percentage of leukocytes 17,227
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003944/ScoringFiles/PGS003944.txt.gz
PGS004362
(X30210.score)
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Eosinophill percentage eosinophil percentage of leukocytes 1,059,939
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004362/ScoringFiles/PGS004362.txt.gz
PGS004761
(Eosinophils_PRSmix_eur)
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Eosinophil count eosinophil count 1,086,541
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004761/ScoringFiles/PGS004761.txt.gz
PGS004762
(Eosinophils_PRSmix_sas)
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Eosinophil count eosinophil count 4,143,233
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004762/ScoringFiles/PGS004762.txt.gz
PGS004763
(Eosinophils_PRSmixPlus_eur)
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Eosinophil count eosinophil count 3,749,971
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004763/ScoringFiles/PGS004763.txt.gz
PGS004764
(Eosinophils_PRSmixPlus_sas)
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Eosinophil count eosinophil count 1,698,846
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004764/ScoringFiles/PGS004764.txt.gz
PGS005182
(VPGS_EO)
 PGP000723 |
Xiang R et al. Nat Commun (2025)
 Eosinophil count variance eosinophil count 8,862,968
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005182/ScoringFiles/PGS005182.txt.gz
PGS005183
(VPGS_EO_P)
 PGP000723 |
Xiang R et al. Nat Commun (2025)
 Eosinophil percentage of white cells variance eosinophil percentage of leukocytes 9,498,015
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005183/ScoringFiles/PGS005183.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
PPM000212 PGS000090
(eo)
 PSS000155|
European Ancestry|
81,294 individuals
 PGP000051 |
Xu Y et al. Cell Genom (2022)
 Reported Trait: Eosinophil count — — Pearson correlation coefficent (r): 0.40991 age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment) UKB Testing Set - these samples were held out from Score Development (regression training) but overlap with the samples used for variant selection (GWAS)
PPM000213 PGS000090
(eo)
 PSS000129|
European Ancestry|
40,276 individuals
 PGP000051 |
Xu Y et al. Cell Genom (2022)
 Reported Trait: Eosinophil count — — Pearson correlation coefficent (r): 0.39315 age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment) —
PPM039235 PGS000090
(eo)
 PSS013916|
European Ancestry|
425,240 individuals
 PGP000865 |
Bhatt IS et al. J Assoc Res Otolaryngol (2024)
|Ext.		 Reported Trait: Age-related hearing difficulty β: 0.0089 — — — —
PPM000214 PGS000091
(eo_p)
 PSS000156|
European Ancestry|
81,283 individuals
 PGP000051 |
Xu Y et al. Cell Genom (2022)
 Reported Trait: Eosinophil percentage of white cells — — Pearson correlation coefficent (r): 0.39099 age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment) UKB Testing Set - these samples were held out from Score Development (regression training) but overlap with the samples used for variant selection (GWAS)
PPM000215 PGS000091
(eo_p)
 PSS000130|
European Ancestry|
40,326 individuals
 PGP000051 |
Xu Y et al. Cell Genom (2022)
 Reported Trait: Eosinophil percentage of white cells — — Pearson correlation coefficent (r): 0.37643 age, sex, 10 PCs of ancestry, lifestyle factors (diet, smoking, alcohol consumption), technical covariates (the time between venepuncture and full blood cell analysis, seasonal effects, centre of sample collection, time dependent drift of equipment, systematic differences in equipment) —
PPM000547 PGS000165
(eo)
 PSS000290|
European Ancestry|
2,314 individuals
 PGP000078 |
Vuckovic D et al. Cell (2020)
 Reported Trait: Eosinophil count — — R²: 0.06931 sex, age, 10 genetic PCs —
PPM000521 PGS000165
(eo)
 PSS000291|
European Ancestry|
39,260 individuals
 PGP000078 |
Vuckovic D et al. Cell (2020)
 Reported Trait: Eosinophil count — — R²: 0.11155 sex, age, 10 genetic PCs —
PPM000522 PGS000166
(eo_p)
 PSS000291|
European Ancestry|
39,260 individuals
 PGP000078 |
Vuckovic D et al. Cell (2020)
 Reported Trait: Eosinophil percentage of white cells — — R²: 0.0979 sex, age, 10 genetic PCs —
PPM008138 PGS001076
(GBE_INI30210)
 PSS007006|
African Ancestry|
6,120 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Eosinophill % — — R²: 0.02749 [0.01965, 0.03533]
Incremental R2 (full-covars): 0.01358
PGS R2 (no covariates): 0.01502 [0.00915, 0.02088]		 age, sex, UKB array type, Genotype PCs —
PPM008139 PGS001076
(GBE_INI30210)
 PSS007007|
East Asian Ancestry|
1,654 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Eosinophill % — — R²: 0.0678 [0.0448, 0.0908]
Incremental R2 (full-covars): 0.03179
PGS R2 (no covariates): 0.03326 [0.01655, 0.04996]		 age, sex, UKB array type, Genotype PCs —
PPM008140 PGS001076
(GBE_INI30210)
 PSS007008|
European Ancestry|
24,130 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Eosinophill % — — R²: 0.10724 [0.09998, 0.1145]
Incremental R2 (full-covars): 0.09158
PGS R2 (no covariates): 0.09579 [0.08884, 0.10274]		 age, sex, UKB array type, Genotype PCs —
PPM008141 PGS001076
(GBE_INI30210)
 PSS007009|
South Asian Ancestry|
7,491 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Eosinophill % — — R²: 0.08004 [0.06852, 0.09157]
Incremental R2 (full-covars): 0.0618
PGS R2 (no covariates): 0.06258 [0.05219, 0.07296]		 age, sex, UKB array type, Genotype PCs —
PPM008142 PGS001076
(GBE_INI30210)
 PSS007010|
European Ancestry|
65,520 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Eosinophill % — — R²: 0.10364 [0.09929, 0.108]
Incremental R2 (full-covars): 0.09566
PGS R2 (no covariates): 0.09594 [0.09171, 0.10016]		 age, sex, UKB array type, Genotype PCs —
PPM008570 PGS001172
(GBE_INI30150)
 PSS006981|
African Ancestry|
6,120 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Eosinophill count — — R²: 0.02165 [0.01465, 0.02865]
Incremental R2 (full-covars): 0.01273
PGS R2 (no covariates): 0.01483 [0.009, 0.02067]		 age, sex, UKB array type, Genotype PCs —
PPM008571 PGS001172
(GBE_INI30150)
 PSS006982|
East Asian Ancestry|
1,654 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Eosinophill count — — R²: 0.07017 [0.04683, 0.09352]
Incremental R2 (full-covars): 0.02406
PGS R2 (no covariates): 0.02686 [0.01175, 0.04197]		 age, sex, UKB array type, Genotype PCs —
PPM008572 PGS001172
(GBE_INI30150)
 PSS006983|
European Ancestry|
24,129 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Eosinophill count — — R²: 0.10592 [0.09869, 0.11315]
Incremental R2 (full-covars): 0.08944
PGS R2 (no covariates): 0.0939 [0.08701, 0.1008]		 age, sex, UKB array type, Genotype PCs —
PPM008573 PGS001172
(GBE_INI30150)
 PSS006984|
South Asian Ancestry|
7,491 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Eosinophill count — — R²: 0.06486 [0.05432, 0.07541]
Incremental R2 (full-covars): 0.05229
PGS R2 (no covariates): 0.05348 [0.04379, 0.06318]		 age, sex, UKB array type, Genotype PCs —
PPM008574 PGS001172
(GBE_INI30150)
 PSS006985|
European Ancestry|
65,520 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Eosinophill count — — R²: 0.10264 [0.0983, 0.10698]
Incremental R2 (full-covars): 0.09343
PGS R2 (no covariates): 0.09398 [0.08978, 0.09817]		 age, sex, UKB array type, Genotype PCs —
PPM038998 PGS001172
(GBE_INI30150)
 PSS013916|
European Ancestry|
425,240 individuals
 PGP000865 |
Bhatt IS et al. J Assoc Res Otolaryngol (2024)
|Ext.		 Reported Trait: Age-related hearing difficulty β: 0.01222 — — — —
PPM010467 PGS001949
(portability-PLR_log_eosinophil_perc)
 PSS009442|
European Ancestry|
11,529 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Eosinophil percentage — — Partial Correlation (partial-r): 0.2072 [0.1897, 0.2246] sex, age, birth date, deprivation index, 16 PCs —
PPM010468 PGS001949
(portability-PLR_log_eosinophil_perc)
 PSS009216|
European Ancestry|
2,282 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Eosinophil percentage — — Partial Correlation (partial-r): 0.2342 [0.1949, 0.2728] sex, age, birth date, deprivation index, 16 PCs —
PPM010469 PGS001949
(portability-PLR_log_eosinophil_perc)
 PSS008770|
European Ancestry|
3,365 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Eosinophil percentage — — Partial Correlation (partial-r): 0.1724 [0.1393, 0.2051] sex, age, birth date, deprivation index, 16 PCs —
PPM010470 PGS001949
(portability-PLR_log_eosinophil_perc)
 PSS008544|
Greater Middle Eastern Ancestry|
676 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Eosinophil percentage — — Partial Correlation (partial-r): 0.1901 [0.1152, 0.2628] sex, age, birth date, deprivation index, 16 PCs —
PPM010471 PGS001949
(portability-PLR_log_eosinophil_perc)
 PSS008322|
South Asian Ancestry|
4,224 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Eosinophil percentage — — Partial Correlation (partial-r): 0.1678 [0.1382, 0.197] sex, age, birth date, deprivation index, 16 PCs —
PPM010472 PGS001949
(portability-PLR_log_eosinophil_perc)
 PSS008099|
East Asian Ancestry|
983 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Eosinophil percentage — — Partial Correlation (partial-r): 0.1291 [0.0665, 0.1907] sex, age, birth date, deprivation index, 16 PCs —
PPM010473 PGS001949
(portability-PLR_log_eosinophil_perc)
 PSS007886|
African Ancestry|
1,291 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Eosinophil percentage — — Partial Correlation (partial-r): 0.0617 [0.0067, 0.1162] sex, age, birth date, deprivation index, 16 PCs —
PPM010474 PGS001949
(portability-PLR_log_eosinophil_perc)
 PSS008990|
African Ancestry|
2,100 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Eosinophil percentage — — Partial Correlation (partial-r): 0.0967 [0.054, 0.1391] sex, age, birth date, deprivation index, 16 PCs —
PPM012184 PGS002167
(portability-ldpred2_log_eosinophil_perc)
 PSS009216|
European Ancestry|
2,282 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Eosinophil percentage — — Partial Correlation (partial-r): 0.2199 [0.1803, 0.2587] sex, age, birth date, deprivation index, 16 PCs —
PPM012185 PGS002167
(portability-ldpred2_log_eosinophil_perc)
 PSS008770|
European Ancestry|
3,365 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Eosinophil percentage — — Partial Correlation (partial-r): 0.1751 [0.142, 0.2077] sex, age, birth date, deprivation index, 16 PCs —
PPM012186 PGS002167
(portability-ldpred2_log_eosinophil_perc)
 PSS008544|
Greater Middle Eastern Ancestry|
676 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Eosinophil percentage — — Partial Correlation (partial-r): 0.18 [0.1049, 0.253] sex, age, birth date, deprivation index, 16 PCs —
PPM012187 PGS002167
(portability-ldpred2_log_eosinophil_perc)
 PSS008322|
South Asian Ancestry|
4,224 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Eosinophil percentage — — Partial Correlation (partial-r): 0.1683 [0.1388, 0.1976] sex, age, birth date, deprivation index, 16 PCs —
PPM012188 PGS002167
(portability-ldpred2_log_eosinophil_perc)
 PSS008099|
East Asian Ancestry|
983 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Eosinophil percentage — — Partial Correlation (partial-r): 0.1159 [0.0531, 0.1778] sex, age, birth date, deprivation index, 16 PCs —
PPM012189 PGS002167
(portability-ldpred2_log_eosinophil_perc)
 PSS007886|
African Ancestry|
1,291 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Eosinophil percentage — — Partial Correlation (partial-r): 0.0644 [0.0095, 0.119] sex, age, birth date, deprivation index, 16 PCs —
PPM012190 PGS002167
(portability-ldpred2_log_eosinophil_perc)
 PSS008990|
African Ancestry|
2,100 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Eosinophil percentage — — Partial Correlation (partial-r): 0.091 [0.0482, 0.1335] sex, age, birth date, deprivation index, 16 PCs —
PPM012183 PGS002167
(portability-ldpred2_log_eosinophil_perc)
 PSS009442|
European Ancestry|
11,529 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Eosinophil percentage — — Partial Correlation (partial-r): 0.2043 [0.1867, 0.2217] sex, age, birth date, deprivation index, 16 PCs —
PPM013090 PGS002325
(blood_EOSINOPHIL_COUNT.BOLT-LMM)
 PSS009743|
African Ancestry|
6,017 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Eosinophil count — — Incremental R2 (full model vs. covariates alone): 0.0299 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013139 PGS002325
(blood_EOSINOPHIL_COUNT.BOLT-LMM)
 PSS009744|
East Asian Ancestry|
880 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Eosinophil count — — Incremental R2 (full model vs. covariates alone): 0.0682 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013188 PGS002325
(blood_EOSINOPHIL_COUNT.BOLT-LMM)
 PSS009745|
European Ancestry|
41,583 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Eosinophil count — — Incremental R2 (full model vs. covariates alone): 0.1407 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013237 PGS002325
(blood_EOSINOPHIL_COUNT.BOLT-LMM)
 PSS009746|
South Asian Ancestry|
7,446 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Eosinophil count — — Incremental R2 (full model vs. covariates alone): 0.09 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM038802 PGS002325
(blood_EOSINOPHIL_COUNT.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: 0.01677 — — — —
PPM013276 PGS002364
(blood_EOSINOPHIL_COUNT.BOLT-LMM-BBJ)
 PSS009743|
African Ancestry|
6,017 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Eosinophil count — — Incremental R2 (full model vs. covariates alone): 0.0016 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013299 PGS002364
(blood_EOSINOPHIL_COUNT.BOLT-LMM-BBJ)
 PSS009744|
East Asian Ancestry|
880 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Eosinophil count — — Incremental R2 (full model vs. covariates alone): 0.0497 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013322 PGS002364
(blood_EOSINOPHIL_COUNT.BOLT-LMM-BBJ)
 PSS009745|
European Ancestry|
41,583 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Eosinophil count — — Incremental R2 (full model vs. covariates alone): 0.0044 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013345 PGS002364
(blood_EOSINOPHIL_COUNT.BOLT-LMM-BBJ)
 PSS009746|
South Asian Ancestry|
7,446 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Eosinophil count — — Incremental R2 (full model vs. covariates alone): 0.0111 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013378 PGS002397
(blood_EOSINOPHIL_COUNT.P+T.0.0001)
 PSS009743|
African Ancestry|
6,017 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Eosinophil count — — Incremental R2 (full model vs. covariates alone): 0.0027 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013427 PGS002397
(blood_EOSINOPHIL_COUNT.P+T.0.0001)
 PSS009744|
East Asian Ancestry|
880 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Eosinophil count — — Incremental R2 (full model vs. covariates alone): 0.0358 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013476 PGS002397
(blood_EOSINOPHIL_COUNT.P+T.0.0001)
 PSS009745|
European Ancestry|
41,583 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Eosinophil count — — Incremental R2 (full model vs. covariates alone): 0.0771 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013525 PGS002397
(blood_EOSINOPHIL_COUNT.P+T.0.0001)
 PSS009746|
South Asian Ancestry|
7,446 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Eosinophil count — — Incremental R2 (full model vs. covariates alone): 0.0491 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013574 PGS002446
(blood_EOSINOPHIL_COUNT.P+T.0.001)
 PSS009743|
African Ancestry|
6,017 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Eosinophil count — — Incremental R2 (full model vs. covariates alone): 0.0015 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013623 PGS002446
(blood_EOSINOPHIL_COUNT.P+T.0.001)
 PSS009744|
East Asian Ancestry|
880 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Eosinophil count — — Incremental R2 (full model vs. covariates alone): 0.0309 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013672 PGS002446
(blood_EOSINOPHIL_COUNT.P+T.0.001)
 PSS009745|
European Ancestry|
41,583 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Eosinophil count — — Incremental R2 (full model vs. covariates alone): 0.0744 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013721 PGS002446
(blood_EOSINOPHIL_COUNT.P+T.0.001)
 PSS009746|
South Asian Ancestry|
7,446 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Eosinophil count — — Incremental R2 (full model vs. covariates alone): 0.0298 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM039179 PGS002446
(blood_EOSINOPHIL_COUNT.P+T.0.001)
 PSS013916|
European Ancestry|
425,240 individuals
 PGP000865 |
Bhatt IS et al. J Assoc Res Otolaryngol (2024)
|Ext.		 Reported Trait: Age-related hearing difficulty β: 0.01527 — — — —
PPM013770 PGS002495
(blood_EOSINOPHIL_COUNT.P+T.0.01)
 PSS009743|
African Ancestry|
6,017 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Eosinophil count — — Incremental R2 (full model vs. covariates alone): 0.0012 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013819 PGS002495
(blood_EOSINOPHIL_COUNT.P+T.0.01)
 PSS009744|
East Asian Ancestry|
880 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Eosinophil count — — Incremental R2 (full model vs. covariates alone): 0.0108 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013868 PGS002495
(blood_EOSINOPHIL_COUNT.P+T.0.01)
 PSS009745|
European Ancestry|
41,583 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Eosinophil count — — Incremental R2 (full model vs. covariates alone): 0.053 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013917 PGS002495
(blood_EOSINOPHIL_COUNT.P+T.0.01)
 PSS009746|
South Asian Ancestry|
7,446 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Eosinophil count — — Incremental R2 (full model vs. covariates alone): 0.0191 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM038809 PGS002495
(blood_EOSINOPHIL_COUNT.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: 0.03937 — — — —
PPM013966 PGS002544
(blood_EOSINOPHIL_COUNT.P+T.1e-06)
 PSS009743|
African Ancestry|
6,017 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Eosinophil count — — Incremental R2 (full model vs. covariates alone): 0.0094 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014015 PGS002544
(blood_EOSINOPHIL_COUNT.P+T.1e-06)
 PSS009744|
East Asian Ancestry|
880 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Eosinophil count — — Incremental R2 (full model vs. covariates alone): 0.0334 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014064 PGS002544
(blood_EOSINOPHIL_COUNT.P+T.1e-06)
 PSS009745|
European Ancestry|
41,583 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Eosinophil count — — Incremental R2 (full model vs. covariates alone): 0.0633 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014113 PGS002544
(blood_EOSINOPHIL_COUNT.P+T.1e-06)
 PSS009746|
South Asian Ancestry|
7,446 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Eosinophil count — — Incremental R2 (full model vs. covariates alone): 0.0426 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014162 PGS002593
(blood_EOSINOPHIL_COUNT.P+T.5e-08)
 PSS009743|
African Ancestry|
6,017 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Eosinophil count — — Incremental R2 (full model vs. covariates alone): 0.008 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014211 PGS002593
(blood_EOSINOPHIL_COUNT.P+T.5e-08)
 PSS009744|
East Asian Ancestry|
880 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Eosinophil count — — Incremental R2 (full model vs. covariates alone): 0.0318 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014260 PGS002593
(blood_EOSINOPHIL_COUNT.P+T.5e-08)
 PSS009745|
European Ancestry|
41,583 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Eosinophil count — — Incremental R2 (full model vs. covariates alone): 0.0573 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014309 PGS002593
(blood_EOSINOPHIL_COUNT.P+T.5e-08)
 PSS009746|
South Asian Ancestry|
7,446 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Eosinophil count — — Incremental R2 (full model vs. covariates alone): 0.0387 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014407 PGS002642
(blood_EOSINOPHIL_COUNT.PolyFun-pred)
 PSS009744|
East Asian Ancestry|
880 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Eosinophil count — — Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0799 age, sex, age*sex, assessment center, genotyping array, 10 PCs See blood_EOSINOPHIL_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014358 PGS002642
(blood_EOSINOPHIL_COUNT.PolyFun-pred)
 PSS009743|
African Ancestry|
6,017 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Eosinophil count — — Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.037 age, sex, age*sex, assessment center, genotyping array, 10 PCs See blood_EOSINOPHIL_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014456 PGS002642
(blood_EOSINOPHIL_COUNT.PolyFun-pred)
 PSS009745|
European Ancestry|
41,583 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Eosinophil count — — Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1552 age, sex, age*sex, assessment center, genotyping array, 10 PCs See blood_EOSINOPHIL_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014505 PGS002642
(blood_EOSINOPHIL_COUNT.PolyFun-pred)
 PSS009746|
South Asian Ancestry|
7,446 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Eosinophil count — — Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1011 age, sex, age*sex, assessment center, genotyping array, 10 PCs See blood_EOSINOPHIL_COUNT.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014603 PGS002691
(blood_EOSINOPHIL_COUNT.SBayesR)
 PSS009744|
East Asian Ancestry|
880 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Eosinophil count — — Incremental R2 (full model vs. covariates alone): 0.0679 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014554 PGS002691
(blood_EOSINOPHIL_COUNT.SBayesR)
 PSS009743|
African Ancestry|
6,017 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Eosinophil count — — Incremental R2 (full model vs. covariates alone): 0.0323 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014652 PGS002691
(blood_EOSINOPHIL_COUNT.SBayesR)
 PSS009745|
European Ancestry|
41,583 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Eosinophil count — — Incremental R2 (full model vs. covariates alone): 0.1288 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014701 PGS002691
(blood_EOSINOPHIL_COUNT.SBayesR)
 PSS009746|
South Asian Ancestry|
7,446 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Eosinophil count — — Incremental R2 (full model vs. covariates alone): 0.0858 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM038964 PGS002691
(blood_EOSINOPHIL_COUNT.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: 0.0128 — — — —
PPM017274 PGS003464
(LDPred2_EOS)
 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 —
PPM017297 PGS003464
(LDPred2_EOS)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Obstructive sleep apnea β: 0.014 (0.024) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017458 PGS003530
(cont-decay-log_eosinophil_perc)
 PSS010894|
European Ancestry|
11,449 individuals
 PGP000457 |
Ding Y et al. Nature (2023)
 Reported Trait: Eosinophil percentage — — partial-R2: 0.05 sex, age, deprivation index, PC1-16 —
PPM017542 PGS003530
(cont-decay-log_eosinophil_perc)
 PSS010810|
European Ancestry|
2,277 individuals
 PGP000457 |
Ding Y et al. Nature (2023)
 Reported Trait: Eosinophil percentage — — partial-R2: 0.05 sex, age, deprivation index, PC1-16 —
PPM017710 PGS003530
(cont-decay-log_eosinophil_perc)
 PSS010558|
Greater Middle Eastern Ancestry|
659 individuals
 PGP000457 |
Ding Y et al. Nature (2023)
 Reported Trait: Eosinophil percentage — — partial-R2: 0.03 sex, age, deprivation index, PC1-16 —
PPM017794 PGS003530
(cont-decay-log_eosinophil_perc)
 PSS010222|
European Ancestry|
1,249 individuals
 PGP000457 |
Ding Y et al. Nature (2023)
 Reported Trait: Eosinophil percentage — — partial-R2: 0.04 sex, age, deprivation index, PC1-16 —
PPM017878 PGS003530
(cont-decay-log_eosinophil_perc)
 PSS010474|
South Asian Ancestry|
4,192 individuals
 PGP000457 |
Ding Y et al. Nature (2023)
 Reported Trait: Eosinophil percentage — — partial-R2: 0.03 sex, age, deprivation index, PC1-16 —
PPM018046 PGS003530
(cont-decay-log_eosinophil_perc)
 PSS010306|
African Ancestry|
1,285 individuals
 PGP000457 |
Ding Y et al. Nature (2023)
 Reported Trait: Eosinophil percentage — — partial-R2: 0.0 sex, age, deprivation index, PC1-16 —
PPM018130 PGS003530
(cont-decay-log_eosinophil_perc)
 PSS010726|
African Ancestry|
2,085 individuals
 PGP000457 |
Ding Y et al. Nature (2023)
 Reported Trait: Eosinophil percentage — — partial-R2: 0.01 sex, age, deprivation index, PC1-16 —
PPM017626 PGS003530
(cont-decay-log_eosinophil_perc)
 PSS010642|
European Ancestry|
3,283 individuals
 PGP000457 |
Ding Y et al. Nature (2023)
 Reported Trait: Eosinophil percentage — — partial-R2: 0.03 sex, age, deprivation index, PC1-16 —
PPM017962 PGS003530
(cont-decay-log_eosinophil_perc)
 PSS010390|
East Asian Ancestry|
973 individuals
 PGP000457 |
Ding Y et al. Nature (2023)
 Reported Trait: Eosinophil percentage — — partial-R2: 0.02 sex, age, deprivation index, PC1-16 —
PPM019014 PGS003939
(INI30150)
 PSS011139|
European Ancestry|
65,814 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: Eosinophil count — — R²: 0.10132 [0.09701, 0.10563]
PGS R2 (no covariates): 0.09268 [0.08852, 0.09684]
Incremental R2 (full-covars): 0.0925		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM019015 PGS003939
(INI30150)
 PSS011110|
European Ancestry|
2,810 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: Eosinophil count — — R²: 0.08417 [0.06484, 0.10351]
PGS R2 (no covariates): 0.0719 [0.05379, 0.09001]
Incremental R2 (full-covars): 0.07156		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM019016 PGS003939
(INI30150)
 PSS011112|
South Asian Ancestry|
1,428 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: Eosinophil count — — R²: 0.05308 [0.03095, 0.0752]
PGS R2 (no covariates): 0.048 [0.02685, 0.06916]
Incremental R2 (full-covars): 0.04773		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM019017 PGS003939
(INI30150)
 PSS011154|
African Ancestry|
1,154 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: Eosinophil count — — R²: 0.01311 [0.00043, 0.0258]
PGS R2 (no covariates): 0.00652 [-0.00248, 0.01551]
Incremental R2 (full-covars): 0.00319		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM019018 PGS003939
(INI30150)
 PSS011168|
Multi-ancestry (excluding European)|
7,732 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: Eosinophil count — — R²: 0.09274 [0.08064, 0.10484]
PGS R2 (no covariates): 0.06898 [0.05827, 0.07969]
Incremental R2 (full-covars): 0.06441		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM019039 PGS003944
(INI30210)
 PSS011139|
European Ancestry|
65,814 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: Eosinophil percentage — — R²: 0.10224 [0.09792, 0.10657]
PGS R2 (no covariates): 0.09455 [0.09036, 0.09874]
Incremental R2 (full-covars): 0.09429		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM019040 PGS003944
(INI30210)
 PSS011110|
European Ancestry|
2,810 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: Eosinophil percentage — — R²: 0.06945 [0.0516, 0.0873]
PGS R2 (no covariates): 0.05892 [0.04229, 0.07554]
Incremental R2 (full-covars): 0.05918		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM019041 PGS003944
(INI30210)
 PSS011112|
South Asian Ancestry|
1,428 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: Eosinophil percentage — — R²: 0.07575 [0.04995, 0.10155]
PGS R2 (no covariates): 0.06543 [0.04119, 0.08968]
Incremental R2 (full-covars): 0.06438		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM019042 PGS003944
(INI30210)
 PSS011154|
African Ancestry|
1,154 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: Eosinophil percentage — — R²: 0.01699 [0.00261, 0.03136]
PGS R2 (no covariates): 0.00576 [-0.00271, 0.01422]
Incremental R2 (full-covars): -0.00348		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM019043 PGS003944
(INI30210)
 PSS011168|
Multi-ancestry (excluding European)|
7,732 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: Eosinophil percentage — — R²: 0.09676 [0.08445, 0.10906]
PGS R2 (no covariates): 0.07585 [0.0647, 0.08699]
Incremental R2 (full-covars): 0.07466		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM020477 PGS004362
(X30210.score)
 PSS011364|
European Ancestry|
56,192 individuals
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Reported Trait: Eosinophill percentage — — PGS R2 (no covariates): 0.25942 — —
PPM020986 PGS004761
(Eosinophils_PRSmix_eur)
 PSS011492|
European Ancestry|
3,464 individuals
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Reported Trait: Eosinophil count — — Incremental R2 (Full model versus model with only covariates): 0.097 [0.078, 0.116] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020987 PGS004762
(Eosinophils_PRSmix_sas)
 PSS011464|
South Asian Ancestry|
7,056 individuals
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Reported Trait: Eosinophil count — — Incremental R2 (Full model versus model with only covariates): 0.091 [0.078, 0.104] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020988 PGS004763
(Eosinophils_PRSmixPlus_eur)
 PSS011492|
European Ancestry|
3,464 individuals
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Reported Trait: Eosinophil count — — Incremental R2 (Full model versus model with only covariates): 0.103 [0.083, 0.122] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020989 PGS004764
(Eosinophils_PRSmixPlus_sas)
 PSS011464|
South Asian Ancestry|
7,056 individuals
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Reported Trait: Eosinophil count — — Incremental R2 (Full model versus model with only covariates): 0.098 [0.085, 0.112] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM022546 PGS005182
(VPGS_EO)
 PSS011988|
European Ancestry|
40,276 individuals
 PGP000723 |
Xiang R et al. Nat Commun (2025)
 Reported Trait: Eosinophil_count β: -0.00819 — R²: 0.15465 — effects of PGS*vPGS tested and shown in Supplementary Data 12)
PPM022552 PGS005183
(VPGS_EO_P)
 PSS011989|
European Ancestry|
40,326 individuals
 PGP000723 |
Xiang R et al. Nat Commun (2025)
 Reported Trait: Eosinophil_percentage_of_white_cells β: -0.00454 — R²: 0.1422 — effects of PGS*vPGS tested and shown in Supplementary Data 12)

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
PSS009743 — — 6,017 individuals — African unspecified — UKB —
PSS009744 — — 880 individuals — East Asian — UKB —
PSS009745 — — 41,583 individuals — European Non-British European UKB —
PSS009746 — — 7,446 individuals — South Asian — UKB —
PSS006981 — — 6,120 individuals — African unspecified — UKB —
PSS006982 — — 1,654 individuals — East Asian — UKB —
PSS006983 — — 24,129 individuals — European non-white British ancestry UKB —
PSS006984 — — 7,491 individuals — South Asian — UKB —
PSS006985 — — 65,520 individuals — European white British ancestry UKB Testing cohort (heldout set)
PSS007886 — — 1,291 individuals — African American or Afro-Caribbean Carribean UKB —
PSS011154 — — 1,154 individuals — African unspecified — UKB —
PSS011988 — — 40,276 individuals — European
(British)		 — INTERVAL —
PSS011989 — — 40,326 individuals — European
(British)		 — INTERVAL —
PSS011464 — — 7,056 individuals — South Asian — G&H —
PSS008544 — — 676 individuals — Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB —
PSS010810 — — 2,277 individuals,
42.0 % Male samples
 Mean = 54.5 years
Sd = 7.4 years		 European Polish UKB —
PSS009442 — — 11,529 individuals — European UK (+ Ireland) UKB —
PSS011168 — — 7,732 individuals — East Asian, Other admixed ancestry East Asian, Other admixed ancestry UKB —
PSS010558 — — 659 individuals,
65.0 % Male samples
 Mean = 52.0 years
Sd = 7.9 years		 Greater Middle Eastern (Middle Eastern, North African or Persian) Iranian UKB —
PSS007006 — — 6,120 individuals — African unspecified — UKB —
PSS007007 — — 1,654 individuals — East Asian — UKB —
PSS007008 — — 24,130 individuals — European non-white British ancestry UKB —
PSS007009 — — 7,491 individuals — South Asian — UKB —
PSS000290 — — 2,314 individuals — European
(French Canadian)		 — CARTaGENE —
PSS000291 — — 39,260 individuals — European — INTERVAL —
PSS007010 — — 65,520 individuals — European white British ancestry UKB Testing cohort (heldout set)
PSS010306 — — 1,285 individuals,
40.0 % Male samples
 Mean = 52.3 years
Sd = 7.9 years		 African American or Afro-Caribbean Caribbean UKB —
PSS011492 — — 3,464 individuals — European — AllofUs —
PSS010185 — — 1,115 individuals,
41.1 % Male samples
 Mean = 46.18 years Hispanic or Latin American — HCHS-SOL —
PSS009216 — — 2,282 individuals — European Poland (NE Europe) UKB —
PSS000129 — — 40,276 individuals,
49.0 % Male samples
 Mean = 43.84 years
Range = [18.0, 76.4] years		 European — INTERVAL —
PSS000130 — — 40,326 individuals,
49.0 % Male samples
 Mean = 43.83 years
Range = [18.0, 76.4] years		 European — INTERVAL —
PSS008322 — — 4,224 individuals — South Asian India (South Asia) UKB —
PSS010726 — — 2,085 individuals,
50.0 % Male samples
 Mean = 51.9 years
Sd = 8.1 years		 African unspecified Nigerian UKB —
PSS010474 — — 4,192 individuals,
58.0 % Male samples
 Mean = 53.4 years
Sd = 8.5 years		 South Asian Indian UKB —
PSS010222 — — 1,249 individuals,
48.0 % Male samples
 Mean = 58.2 years
Sd = 6.9 years		 European Ashkenazi UKB —
PSS000155 — — 81,294 individuals,
46.0 % Male samples
 Mean = 57.2 years
Range = [39.98, 72.44] years		 European — UKB —
PSS000156 — — 81,283 individuals,
45.0 % Male samples
 Mean = 57.19 years
Range = [38.87, 71.1] years		 European — UKB —
PSS008990 — — 2,100 individuals — African unspecified Nigeria (West Africa) UKB —
PSS011364 — — 56,192 individuals — European — UKB —
PSS008099 — — 983 individuals — East Asian China (East Asia) UKB —
PSS011110 — — 2,810 individuals — European
(non-white British ancestry)		 — UKB —
PSS011112 — — 1,428 individuals — South Asian — UKB —
PSS010894 — — 11,449 individuals,
50.0 % Male samples
 Mean = 56.9 years
Sd = 7.9 years		 European white British UKB —
PSS010642 — — 3,283 individuals,
51.0 % Male samples
 Mean = 54.8 years
Sd = 8.4 years		 European Italian UKB —
PSS010390 — — 973 individuals,
38.0 % Male samples
 Mean = 52.5 years
Sd = 7.7 years		 East Asian Chinese UKB —
PSS013916 — —
[
  • 111,243 cases
  • , 313,997 controls
]
,
46.21 % Male samples
 — European
(British, Irish)		 — UKB —
PSS008770 — — 3,365 individuals — European Italy (South Europe) UKB —
PSS011139 — — 65,814 individuals — European
(white British ancestry)		 — UKB —