Trait: eye measurement

Experimental Factor Ontology (EFO) Information
Identifier EFO_0004731
Description Is a quantification of some eye structure or property of an eye structure, such as corneal thickness.
Trait category
Other measurement
Child trait(s) 5 child traits

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 "eye measurement" 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)
PGS000124
(IOP_AS)
PGP000061 |
MacGregor S et al. Nat Genet (2018)
Intraocular pressure intraocular pressure measurement 103
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000124/ScoringFiles/PGS000124.txt.gz
PGS000879
(PRS146_IOP)
PGP000225 |
Qassim A et al. Ophthalmology (2020)
Intraocular pressure intraocular pressure measurement 146
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000879/ScoringFiles/PGS000879.txt.gz
PGS001099
(GBE_INI5085)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Spherical power (left eye) refractive error measurement 6,639
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001099/ScoringFiles/PGS001099.txt.gz
PGS001100
(GBE_INI5084)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Spherical power (right eye) refractive error measurement 7,350
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001100/ScoringFiles/PGS001100.txt.gz
PGS001185
(GBE_INI5255)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Intra-ocular pressure, Goldmann-correlated (R) intraocular pressure measurement 3,584
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001185/ScoringFiles/PGS001185.txt.gz
PGS001358
(GBE_INI5116)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
3mm cylindrical power (R) eye measurement 148
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001358/ScoringFiles/PGS001358.txt.gz
PGS001359
(GBE_INI5135)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
3mm strong meridian (L) eye measurement 9,497
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001359/ScoringFiles/PGS001359.txt.gz
PGS001360
(GBE_INI5132)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
3mm strong meridian (R) eye measurement 10,082
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001360/ScoringFiles/PGS001360.txt.gz
PGS001361
(GBE_INI5104)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
3mm strong meridian angle (L) eye measurement 976
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001361/ScoringFiles/PGS001361.txt.gz
PGS001362
(GBE_INI5096)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
3mm weak meridian (L) eye measurement 8,600
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001362/ScoringFiles/PGS001362.txt.gz
PGS001363
(GBE_INI5099)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
3mm weak meridian (R) eye measurement 8,983
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001363/ScoringFiles/PGS001363.txt.gz
PGS001364
(GBE_INI5113)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
6mm cylindrical power angle (L) eye measurement 319
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001364/ScoringFiles/PGS001364.txt.gz
PGS001365
(GBE_INI5134)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
6mm strong meridian (L) eye measurement 8,504
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001365/ScoringFiles/PGS001365.txt.gz
PGS001366
(GBE_INI5133)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
6mm strong meridian (R) eye measurement 9,219
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001366/ScoringFiles/PGS001366.txt.gz
PGS001367
(GBE_INI5097)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
6mm weak meridian (L) eye measurement 8,580
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001367/ScoringFiles/PGS001367.txt.gz
PGS001368
(GBE_INI5098)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
6mm weak meridian (R) eye measurement 8,730
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001368/ScoringFiles/PGS001368.txt.gz
PGS001373
(GBE_INI2217)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Age started wearing glasses or contact lenses eye measurement 8,870
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001373/ScoringFiles/PGS001373.txt.gz
PGS001380
(GBE_INI5264)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Corneal hysteresis (L) corneal hysteresis 2,240
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001380/ScoringFiles/PGS001380.txt.gz
PGS001381
(GBE_INI5256)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Corneal hysteresis (R) corneal hysteresis 2,500
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001381/ScoringFiles/PGS001381.txt.gz
PGS001382
(GBE_INI5265)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Corneal resistance factor (L) corneal resistance factor 2,390
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001382/ScoringFiles/PGS001382.txt.gz
PGS001383
(GBE_INI5257)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Corneal resistance factor (R) corneal resistance factor 3,941
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001383/ScoringFiles/PGS001383.txt.gz
PGS001409
(GBE_INI5262)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Intra-ocular pressure, corneal-compensated (L) intraocular pressure measurement 1,166
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001409/ScoringFiles/PGS001409.txt.gz
PGS001410
(GBE_INI5254)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Intra-ocular pressure, corneal-compensated (R) intraocular pressure measurement 1,563
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001410/ScoringFiles/PGS001410.txt.gz
PGS001411
(GBE_INI5263)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Intra-ocular pressure, Goldmann-correlated (L) intraocular pressure measurement 3,513
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001411/ScoringFiles/PGS001411.txt.gz
PGS001890
(portability-PLR_avMSE)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
avMSE visual acuity measurement 44,864
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001890/ScoringFiles/PGS001890.txt.gz
PGS001924
(portability-PLR_glasses)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Wears glasses or contact lenses eye measurement 311
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001924/ScoringFiles/PGS001924.txt.gz
PGS001985
(portability-PLR_logMAR)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
logMAR in round (left/right) visual acuity measurement 223
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001985/ScoringFiles/PGS001985.txt.gz
PGS002103
(portability-ldpred2_avMSE)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
avMSE visual acuity measurement 833,170
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002103/ScoringFiles/PGS002103.txt.gz
PGS002140
(portability-ldpred2_glasses)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Wears glasses or contact lenses eye measurement 762,684
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002140/ScoringFiles/PGS002140.txt.gz
PGS003413
(rvPRS_IOP)
PGP000426 |
Gao XR et al. Nat Commun (2022)
Intraocular pressure intraocular pressure measurement 25
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003413/ScoringFiles/PGS003413.txt.gz
PGS003493
(cont-decay-avMSE)
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
avMSE visual acuity measurement 979,739
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003493/ScoringFiles/PGS003493.txt.gz
PGS003860
(PGS_RE)
PGP000498 |
Clark R et al. EBioMedicine (2023)
Refractive error refractive error measurement 767,867
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003860/ScoringFiles/PGS003860.txt.gz - Check Terms/Licenses
PGS004431
(X4290.score)
PGP000561 |
Jung H et al. Commun Biol (2024)
Duration screen displayed visual acuity measurement 1,059,939
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004431/ScoringFiles/PGS004431.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
PPM000403 PGS000124
(IOP_AS)
PSS000231|
European Ancestry|
4,672 individuals
PGP000061 |
MacGregor S et al. Nat Genet (2018)
Reported Trait: Advanced glaucoma AUROC: 0.65 [0.63, 0.66] sex, first 4 genetic PCs
PPM002518 PGS000879
(PRS146_IOP)
PSS001138|
European Ancestry|
2,154 individuals
PGP000225 |
Qassim A et al. Ophthalmology (2020)
Reported Trait: Incisional surgery for the management of glaucoma Odds Ratio (OR, top 20% vs bottom 20%): 1.5 [1.1, 2.0]
PPM002519 PGS000879
(PRS146_IOP)
PSS001138|
European Ancestry|
2,154 individuals
PGP000225 |
Qassim A et al. Ophthalmology (2020)
Reported Trait: Incisional surgery for the management of glaucoma Odds Ratio (OR, top 20% vs intermediate 60%): 1.3 [1.0, 1.6]
PPM002520 PGS000879
(PRS146_IOP)
PSS001137|
European Ancestry|
2,154 individuals
PGP000225 |
Qassim A et al. Ophthalmology (2020)
Reported Trait: Bilateral incisional surgery for the management of glaucoma Odds Ratio (OR, top 20% vs remaining 80%): 1.4 [1.0, 1.8]
PPM002517 PGS000879
(PRS146_IOP)
PSS001136|
European Ancestry|
2,154 individuals
PGP000225 |
Qassim A et al. Ophthalmology (2020)
Reported Trait: High-tension glaucoma Odds Ratio (OR, top 20% vs bottom 20%): 1.9 [1.3, 2.8]
PPM008234 PGS001099
(GBE_INI5085)
PSS007371|
African Ancestry|
3,300 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Spherical power (L) : 0.04061 [0.03121, 0.05001]
Incremental R2 (full-covars): 0.00835
PGS R2 (no covariates): 0.01458 [0.00879, 0.02036]
age, sex, UKB array type, Genotype PCs
PPM008235 PGS001099
(GBE_INI5085)
PSS007372|
East Asian Ancestry|
596 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Spherical power (L) : 0.09829 [0.0715, 0.12508]
Incremental R2 (full-covars): 0.01659
PGS R2 (no covariates): 0.0261 [0.01119, 0.04101]
age, sex, UKB array type, Genotype PCs
PPM008236 PGS001099
(GBE_INI5085)
PSS007373|
European Ancestry|
7,900 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Spherical power (L) : 0.10172 [0.09461, 0.10884]
Incremental R2 (full-covars): 0.07033
PGS R2 (no covariates): 0.0711 [0.06495, 0.07725]
age, sex, UKB array type, Genotype PCs
PPM008237 PGS001099
(GBE_INI5085)
PSS007374|
South Asian Ancestry|
3,648 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Spherical power (L) : 0.05929 [0.04915, 0.06943]
Incremental R2 (full-covars): 0.03026
PGS R2 (no covariates): 0.03238 [0.02467, 0.04009]
age, sex, UKB array type, Genotype PCs
PPM008238 PGS001099
(GBE_INI5085)
PSS007375|
European Ancestry|
16,473 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Spherical power (L) : 0.11149 [0.10701, 0.11597]
Incremental R2 (full-covars): 0.09163
PGS R2 (no covariates): 0.09194 [0.08779, 0.0961]
age, sex, UKB array type, Genotype PCs
PPM008239 PGS001100
(GBE_INI5084)
PSS007366|
African Ancestry|
3,314 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Spherical power (R) : 0.03542 [0.02659, 0.04424]
Incremental R2 (full-covars): 0.00616
PGS R2 (no covariates): 0.01203 [0.00676, 0.0173]
age, sex, UKB array type, Genotype PCs
PPM008240 PGS001100
(GBE_INI5084)
PSS007367|
East Asian Ancestry|
597 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Spherical power (R) : 0.1128 [0.08456, 0.14104]
Incremental R2 (full-covars): 0.02771
PGS R2 (no covariates): 0.03839 [0.02053, 0.05624]
age, sex, UKB array type, Genotype PCs
PPM008241 PGS001100
(GBE_INI5084)
PSS007368|
European Ancestry|
7,920 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Spherical power (R) : 0.10687 [0.09962, 0.11412]
Incremental R2 (full-covars): 0.07031
PGS R2 (no covariates): 0.0711 [0.06495, 0.07725]
age, sex, UKB array type, Genotype PCs
PPM008242 PGS001100
(GBE_INI5084)
PSS007369|
South Asian Ancestry|
3,663 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Spherical power (R) : 0.06585 [0.05523, 0.07646]
Incremental R2 (full-covars): 0.0281
PGS R2 (no covariates): 0.03071 [0.02319, 0.03823]
age, sex, UKB array type, Genotype PCs
PPM008243 PGS001100
(GBE_INI5084)
PSS007370|
European Ancestry|
16,545 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Spherical power (R) : 0.11691 [0.11236, 0.12147]
Incremental R2 (full-covars): 0.0945
PGS R2 (no covariates): 0.09518 [0.09097, 0.0994]
age, sex, UKB array type, Genotype PCs
PPM008604 PGS001185
(GBE_INI5255)
PSS007441|
African Ancestry|
3,254 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Intra-ocular pressure, Goldmann-correlated (R) : 0.04204 [0.0325, 0.05159]
Incremental R2 (full-covars): 0.0098
PGS R2 (no covariates): 0.01237 [0.00703, 0.01771]
age, sex, UKB array type, Genotype PCs
PPM008605 PGS001185
(GBE_INI5255)
PSS007442|
East Asian Ancestry|
590 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Intra-ocular pressure, Goldmann-correlated (R) : 0.02998 [0.01406, 0.04589]
Incremental R2 (full-covars): 0.00098
PGS R2 (no covariates): 0.00467 [-0.00178, 0.01112]
age, sex, UKB array type, Genotype PCs
PPM008606 PGS001185
(GBE_INI5255)
PSS007443|
European Ancestry|
7,821 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Intra-ocular pressure, Goldmann-correlated (R) : 0.04477 [0.03975, 0.04979]
Incremental R2 (full-covars): 0.03528
PGS R2 (no covariates): 0.0349 [0.03042, 0.03937]
age, sex, UKB array type, Genotype PCs
PPM008607 PGS001185
(GBE_INI5255)
PSS007444|
South Asian Ancestry|
3,610 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Intra-ocular pressure, Goldmann-correlated (R) : 0.03832 [0.02998, 0.04666]
Incremental R2 (full-covars): 0.02757
PGS R2 (no covariates): 0.02719 [0.02009, 0.03429]
age, sex, UKB array type, Genotype PCs
PPM008608 PGS001185
(GBE_INI5255)
PSS007445|
European Ancestry|
16,290 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Intra-ocular pressure, Goldmann-correlated (R) : 0.05173 [0.04848, 0.05499]
Incremental R2 (full-covars): 0.04479
PGS R2 (no covariates): 0.04483 [0.04178, 0.04788]
age, sex, UKB array type, Genotype PCs
PPM007160 PGS001358
(GBE_INI5116)
PSS007411|
African Ancestry|
3,083 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 3mm cylindrical power (R) : 0.00625 [0.00243, 0.01007]
Incremental R2 (full-covars): 0.00132
PGS R2 (no covariates): 0.00174 [-0.00028, 0.00376]
age, sex, UKB array type, Genotype PCs
PPM007161 PGS001358
(GBE_INI5116)
PSS007412|
East Asian Ancestry|
561 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 3mm cylindrical power (R) : 0.01957 [0.00657, 0.03257]
Incremental R2 (full-covars): 0.00157
PGS R2 (no covariates): 0.00123 [-0.00209, 0.00456]
age, sex, UKB array type, Genotype PCs
PPM007162 PGS001358
(GBE_INI5116)
PSS007413|
European Ancestry|
7,490 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 3mm cylindrical power (R) : 0.01243 [0.00969, 0.01516]
Incremental R2 (full-covars): 0.00335
PGS R2 (no covariates): 0.00413 [0.00254, 0.00572]
age, sex, UKB array type, Genotype PCs
PPM007163 PGS001358
(GBE_INI5116)
PSS007414|
South Asian Ancestry|
3,448 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 3mm cylindrical power (R) : 0.00875 [0.00465, 0.01286]
Incremental R2 (full-covars): 0.00126
PGS R2 (no covariates): 0.00125 [-0.00031, 0.00281]
age, sex, UKB array type, Genotype PCs
PPM007164 PGS001358
(GBE_INI5116)
PSS007415|
European Ancestry|
15,963 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 3mm cylindrical power (R) : 0.00746 [0.00617, 0.00876]
Incremental R2 (full-covars): 0.00253
PGS R2 (no covariates): 0.00262 [0.00185, 0.00339]
age, sex, UKB array type, Genotype PCs
PPM007180 PGS001359
(GBE_INI5135)
PSS007431|
African Ancestry|
3,105 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 3mm strong meridian (L) : 0.08579 [0.07278, 0.09881]
Incremental R2 (full-covars): 0.00558
PGS R2 (no covariates): 0.014 [0.00833, 0.01967]
age, sex, UKB array type, Genotype PCs
PPM007181 PGS001359
(GBE_INI5135)
PSS007432|
East Asian Ancestry|
573 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 3mm strong meridian (L) : 0.11668 [0.08808, 0.14527]
Incremental R2 (full-covars): 0.05741
PGS R2 (no covariates): 0.07134 [0.04783, 0.09485]
age, sex, UKB array type, Genotype PCs
PPM007182 PGS001359
(GBE_INI5135)
PSS007433|
European Ancestry|
7,529 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 3mm strong meridian (L) : 0.19283 [0.18403, 0.20164]
Incremental R2 (full-covars): 0.13671
PGS R2 (no covariates): 0.13985 [0.13186, 0.14784]
age, sex, UKB array type, Genotype PCs
PPM007183 PGS001359
(GBE_INI5135)
PSS007434|
South Asian Ancestry|
3,455 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 3mm strong meridian (L) : 0.17172 [0.15653, 0.18692]
Incremental R2 (full-covars): 0.09777
PGS R2 (no covariates): 0.10232 [0.08961, 0.11503]
age, sex, UKB array type, Genotype PCs
PPM007184 PGS001359
(GBE_INI5135)
PSS007435|
European Ancestry|
15,926 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 3mm strong meridian (L) : 0.20335 [0.19793, 0.20877]
Incremental R2 (full-covars): 0.15243
PGS R2 (no covariates): 0.15093 [0.14595, 0.15591]
age, sex, UKB array type, Genotype PCs
PPM007165 PGS001360
(GBE_INI5132)
PSS007416|
African Ancestry|
3,083 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 3mm strong meridian (R) : 0.09618 [0.08255, 0.1098]
Incremental R2 (full-covars): 0.01765
PGS R2 (no covariates): 0.02408 [0.01672, 0.03144]
age, sex, UKB array type, Genotype PCs
PPM007166 PGS001360
(GBE_INI5132)
PSS007417|
East Asian Ancestry|
561 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 3mm strong meridian (R) : 0.13087 [0.10107, 0.16067]
Incremental R2 (full-covars): 0.08472
PGS R2 (no covariates): 0.09914 [0.07226, 0.12602]
age, sex, UKB array type, Genotype PCs
PPM007167 PGS001360
(GBE_INI5132)
PSS007418|
European Ancestry|
7,490 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 3mm strong meridian (R) : 0.19721 [0.18836, 0.20607]
Incremental R2 (full-covars): 0.14384
PGS R2 (no covariates): 0.14672 [0.13861, 0.15484]
age, sex, UKB array type, Genotype PCs
PPM007168 PGS001360
(GBE_INI5132)
PSS007419|
South Asian Ancestry|
3,448 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 3mm strong meridian (R) : 0.17296 [0.15773, 0.18819]
Incremental R2 (full-covars): 0.10013
PGS R2 (no covariates): 0.1028 [0.09007, 0.11554]
age, sex, UKB array type, Genotype PCs
PPM007169 PGS001360
(GBE_INI5132)
PSS007420|
European Ancestry|
15,963 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 3mm strong meridian (R) : 0.20775 [0.2023, 0.2132]
Incremental R2 (full-covars): 0.15925
PGS R2 (no covariates): 0.15761 [0.15256, 0.16266]
age, sex, UKB array type, Genotype PCs
PPM007150 PGS001361
(GBE_INI5104)
PSS007401|
African Ancestry|
3,105 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 3mm strong meridian angle (L) : 0.00985 [0.00507, 0.01462]
Incremental R2 (full-covars): -0.00051
PGS R2 (no covariates): 0.00011 [-0.0004, 0.00062]
age, sex, UKB array type, Genotype PCs
PPM007151 PGS001361
(GBE_INI5104)
PSS007402|
East Asian Ancestry|
573 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 3mm strong meridian angle (L) : 0.02075 [0.00738, 0.03411]
Incremental R2 (full-covars): -0.00323
PGS R2 (no covariates): 7e-05 [-0.0007, 0.00083]
age, sex, UKB array type, Genotype PCs
PPM007152 PGS001361
(GBE_INI5104)
PSS007403|
European Ancestry|
7,529 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 3mm strong meridian angle (L) : 0.0037 [0.0022, 0.00521]
Incremental R2 (full-covars): 0.00089
PGS R2 (no covariates): 0.00126 [0.00038, 0.00214]
age, sex, UKB array type, Genotype PCs
PPM007153 PGS001361
(GBE_INI5104)
PSS007404|
South Asian Ancestry|
3,455 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 3mm strong meridian angle (L) : 0.00603 [0.00261, 0.00945]
Incremental R2 (full-covars): 0.00023
PGS R2 (no covariates): 0.00066 [-0.00048, 0.0018]
age, sex, UKB array type, Genotype PCs
PPM007154 PGS001361
(GBE_INI5104)
PSS007405|
European Ancestry|
15,926 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 3mm strong meridian angle (L) : 0.00337 [0.0025, 0.00425]
Incremental R2 (full-covars): 0.00129
PGS R2 (no covariates): 0.00163 [0.00102, 0.00224]
age, sex, UKB array type, Genotype PCs
PPM007130 PGS001362
(GBE_INI5096)
PSS007376|
African Ancestry|
3,105 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 3mm weak meridian (L) : 0.10114 [0.08725, 0.11503]
Incremental R2 (full-covars): 0.01511
PGS R2 (no covariates): 0.01992 [0.0132, 0.02665]
age, sex, UKB array type, Genotype PCs
PPM007131 PGS001362
(GBE_INI5096)
PSS007377|
East Asian Ancestry|
573 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 3mm weak meridian (L) : 0.13519 [0.10505, 0.16532]
Incremental R2 (full-covars): 0.07325
PGS R2 (no covariates): 0.08476 [0.05951, 0.11002]
age, sex, UKB array type, Genotype PCs
PPM007132 PGS001362
(GBE_INI5096)
PSS007378|
European Ancestry|
7,529 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 3mm weak meridian (L) : 0.20076 [0.19187, 0.20965]
Incremental R2 (full-covars): 0.14436
PGS R2 (no covariates): 0.14759 [0.13946, 0.15572]
age, sex, UKB array type, Genotype PCs
PPM007133 PGS001362
(GBE_INI5096)
PSS007379|
South Asian Ancestry|
3,455 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 3mm weak meridian (L) : 0.17965 [0.16426, 0.19505]
Incremental R2 (full-covars): 0.09829
PGS R2 (no covariates): 0.10196 [0.08927, 0.11466]
age, sex, UKB array type, Genotype PCs
PPM007134 PGS001362
(GBE_INI5096)
PSS007380|
European Ancestry|
15,926 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 3mm weak meridian (L) : 0.20843 [0.20297, 0.21388]
Incremental R2 (full-covars): 0.16242
PGS R2 (no covariates): 0.16003 [0.15496, 0.16511]
age, sex, UKB array type, Genotype PCs
PPM007147 PGS001363
(GBE_INI5099)
PSS007393|
European Ancestry|
7,490 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 3mm weak meridian (R) : 0.20585 [0.1969, 0.2148]
Incremental R2 (full-covars): 0.15187
PGS R2 (no covariates): 0.15592 [0.14764, 0.1642]
age, sex, UKB array type, Genotype PCs
PPM007148 PGS001363
(GBE_INI5099)
PSS007394|
South Asian Ancestry|
3,448 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 3mm weak meridian (R) : 0.18154 [0.1661, 0.19698]
Incremental R2 (full-covars): 0.10024
PGS R2 (no covariates): 0.10364 [0.09086, 0.11641]
age, sex, UKB array type, Genotype PCs
PPM007149 PGS001363
(GBE_INI5099)
PSS007395|
European Ancestry|
15,963 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 3mm weak meridian (R) : 0.21427 [0.20878, 0.21976]
Incremental R2 (full-covars): 0.17021
PGS R2 (no covariates): 0.16752 [0.16238, 0.17267]
age, sex, UKB array type, Genotype PCs
PPM007145 PGS001363
(GBE_INI5099)
PSS007391|
African Ancestry|
3,083 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 3mm weak meridian (R) : 0.10197 [0.08803, 0.11591]
Incremental R2 (full-covars): 0.02049
PGS R2 (no covariates): 0.02612 [0.01847, 0.03377]
age, sex, UKB array type, Genotype PCs
PPM007146 PGS001363
(GBE_INI5099)
PSS007392|
East Asian Ancestry|
561 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 3mm weak meridian (R) : 0.14867 [0.11756, 0.17978]
Incremental R2 (full-covars): 0.08784
PGS R2 (no covariates): 0.10479 [0.07733, 0.13226]
age, sex, UKB array type, Genotype PCs
PPM007155 PGS001364
(GBE_INI5113)
PSS007406|
African Ancestry|
2,562 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 6mm cylindrical power angle (L) : 0.01042 [0.00551, 0.01532]
Incremental R2 (full-covars): 0.00093
PGS R2 (no covariates): 0.00146 [-0.0004, 0.00331]
age, sex, UKB array type, Genotype PCs
PPM007156 PGS001364
(GBE_INI5113)
PSS007407|
East Asian Ancestry|
488 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 6mm cylindrical power angle (L) : 0.00399 [-0.00197, 0.00996]
Incremental R2 (full-covars): -0.00511
PGS R2 (no covariates): 0.00661 [-0.00104, 0.01427]
age, sex, UKB array type, Genotype PCs
PPM007157 PGS001364
(GBE_INI5113)
PSS007408|
European Ancestry|
6,612 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 6mm cylindrical power angle (L) : 0.00307 [0.0017, 0.00444]
Incremental R2 (full-covars): 7e-05
PGS R2 (no covariates): 0.00021 [-0.00015, 0.00056]
age, sex, UKB array type, Genotype PCs
PPM007158 PGS001364
(GBE_INI5113)
PSS007409|
South Asian Ancestry|
2,974 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 6mm cylindrical power angle (L) : 0.00441 [0.00148, 0.00734]
Incremental R2 (full-covars): 0.00079
PGS R2 (no covariates): 0.00074 [-0.00046, 0.00195]
age, sex, UKB array type, Genotype PCs
PPM007159 PGS001364
(GBE_INI5113)
PSS007410|
European Ancestry|
13,819 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 6mm cylindrical power angle (L) : 0.00293 [0.00212, 0.00375]
Incremental R2 (full-covars): 0.00178
PGS R2 (no covariates): 0.00179 [0.00116, 0.00243]
age, sex, UKB array type, Genotype PCs
PPM007175 PGS001365
(GBE_INI5134)
PSS007426|
African Ancestry|
2,562 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 6mm strong meridian (L) : 0.08943 [0.07619, 0.10267]
Incremental R2 (full-covars): 0.01354
PGS R2 (no covariates): 0.01781 [0.01144, 0.02418]
age, sex, UKB array type, Genotype PCs
PPM007176 PGS001365
(GBE_INI5134)
PSS007427|
East Asian Ancestry|
488 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 6mm strong meridian (L) : 0.16518 [0.13303, 0.19733]
Incremental R2 (full-covars): 0.09434
PGS R2 (no covariates): 0.11321 [0.08494, 0.14149]
age, sex, UKB array type, Genotype PCs
PPM007177 PGS001365
(GBE_INI5134)
PSS007428|
European Ancestry|
6,614 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 6mm strong meridian (L) : 0.21084 [0.20184, 0.21984]
Incremental R2 (full-covars): 0.14404
PGS R2 (no covariates): 0.15015 [0.14197, 0.15833]
age, sex, UKB array type, Genotype PCs
PPM007178 PGS001365
(GBE_INI5134)
PSS007429|
South Asian Ancestry|
2,974 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 6mm strong meridian (L) : 0.1943 [0.17858, 0.21003]
Incremental R2 (full-covars): 0.10957
PGS R2 (no covariates): 0.11731 [0.10392, 0.1307]
age, sex, UKB array type, Genotype PCs
PPM007179 PGS001365
(GBE_INI5134)
PSS007430|
European Ancestry|
13,827 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 6mm strong meridian (L) : 0.22292 [0.21738, 0.22846]
Incremental R2 (full-covars): 0.16477
PGS R2 (no covariates): 0.16497 [0.15985, 0.17009]
age, sex, UKB array type, Genotype PCs
PPM007170 PGS001366
(GBE_INI5133)
PSS007421|
African Ancestry|
2,479 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 6mm strong meridian (R) : 0.08936 [0.07613, 0.10259]
Incremental R2 (full-covars): 0.02587
PGS R2 (no covariates): 0.02944 [0.02135, 0.03754]
age, sex, UKB array type, Genotype PCs
PPM007171 PGS001366
(GBE_INI5133)
PSS007422|
East Asian Ancestry|
464 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 6mm strong meridian (R) : 0.18151 [0.14847, 0.21456]
Incremental R2 (full-covars): 0.11314
PGS R2 (no covariates): 0.12907 [0.09942, 0.15872]
age, sex, UKB array type, Genotype PCs
PPM007172 PGS001366
(GBE_INI5133)
PSS007423|
European Ancestry|
6,613 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 6mm strong meridian (R) : 0.21308 [0.20405, 0.2221]
Incremental R2 (full-covars): 0.15301
PGS R2 (no covariates): 0.1575 [0.14919, 0.1658]
age, sex, UKB array type, Genotype PCs
PPM007173 PGS001366
(GBE_INI5133)
PSS007424|
South Asian Ancestry|
2,955 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 6mm strong meridian (R) : 0.19615 [0.18038, 0.21191]
Incremental R2 (full-covars): 0.1069
PGS R2 (no covariates): 0.11348 [0.10025, 0.1267]
age, sex, UKB array type, Genotype PCs
PPM007174 PGS001366
(GBE_INI5133)
PSS007425|
European Ancestry|
14,037 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 6mm strong meridian (R) : 0.22083 [0.2153, 0.22636]
Incremental R2 (full-covars): 0.16703
PGS R2 (no covariates): 0.16537 [0.16025, 0.1705]
age, sex, UKB array type, Genotype PCs
PPM007138 PGS001367
(GBE_INI5097)
PSS007384|
South Asian Ancestry|
2,974 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 6mm weak meridian (L) : 0.19966 [0.18383, 0.2155]
Incremental R2 (full-covars): 0.11368
PGS R2 (no covariates): 0.11878 [0.10533, 0.13222]
age, sex, UKB array type, Genotype PCs
PPM007139 PGS001367
(GBE_INI5097)
PSS007385|
European Ancestry|
13,827 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 6mm weak meridian (L) : 0.21693 [0.21143, 0.22244]
Incremental R2 (full-covars): 0.16536
PGS R2 (no covariates): 0.16451 [0.1594, 0.16963]
age, sex, UKB array type, Genotype PCs
PPM007135 PGS001367
(GBE_INI5097)
PSS007381|
African Ancestry|
2,562 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 6mm weak meridian (L) : 0.0842 [0.07129, 0.09712]
Incremental R2 (full-covars): 0.01205
PGS R2 (no covariates): 0.01782 [0.01144, 0.02419]
age, sex, UKB array type, Genotype PCs
PPM007136 PGS001367
(GBE_INI5097)
PSS007382|
East Asian Ancestry|
488 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 6mm weak meridian (L) : 0.16899 [0.13662, 0.20136]
Incremental R2 (full-covars): 0.09668
PGS R2 (no covariates): 0.1164 [0.08783, 0.14497]
age, sex, UKB array type, Genotype PCs
PPM007137 PGS001367
(GBE_INI5097)
PSS007383|
European Ancestry|
6,614 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 6mm weak meridian (L) : 0.21189 [0.20288, 0.2209]
Incremental R2 (full-covars): 0.14545
PGS R2 (no covariates): 0.15226 [0.14404, 0.16048]
age, sex, UKB array type, Genotype PCs
PPM007140 PGS001368
(GBE_INI5098)
PSS007386|
African Ancestry|
2,479 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 6mm weak meridian (R) : 0.09641 [0.08278, 0.11005]
Incremental R2 (full-covars): 0.03071
PGS R2 (no covariates): 0.0336 [0.02499, 0.0422]
age, sex, UKB array type, Genotype PCs
PPM007141 PGS001368
(GBE_INI5098)
PSS007387|
East Asian Ancestry|
464 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 6mm weak meridian (R) : 0.18894 [0.15553, 0.22235]
Incremental R2 (full-covars): 0.11067
PGS R2 (no covariates): 0.12478 [0.09548, 0.15408]
age, sex, UKB array type, Genotype PCs
PPM007142 PGS001368
(GBE_INI5098)
PSS007388|
European Ancestry|
6,613 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 6mm weak meridian (R) : 0.20364 [0.19472, 0.21257]
Incremental R2 (full-covars): 0.14383
PGS R2 (no covariates): 0.14815 [0.14001, 0.15629]
age, sex, UKB array type, Genotype PCs
PPM007143 PGS001368
(GBE_INI5098)
PSS007389|
South Asian Ancestry|
2,955 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 6mm weak meridian (R) : 0.21062 [0.19458, 0.22666]
Incremental R2 (full-covars): 0.11253
PGS R2 (no covariates): 0.12284 [0.10923, 0.13645]
age, sex, UKB array type, Genotype PCs
PPM007144 PGS001368
(GBE_INI5098)
PSS007390|
European Ancestry|
14,037 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: 6mm weak meridian (R) : 0.22246 [0.21692, 0.228]
Incremental R2 (full-covars): 0.17034
PGS R2 (no covariates): 0.16779 [0.16264, 0.17293]
age, sex, UKB array type, Genotype PCs
PPM005295 PGS001373
(GBE_INI2217)
PSS004961|
African Ancestry|
4,649 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Age started wearing glasses or contact lenses : 0.1035 [0.08948, 0.11752]
Incremental R2 (full-covars): -0.00917
PGS R2 (no covariates): 0.00052 [-0.00059, 0.00163]
age, sex, UKB array type, Genotype PCs
PPM005296 PGS001373
(GBE_INI2217)
PSS004962|
East Asian Ancestry|
1,320 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Age started wearing glasses or contact lenses : 0.12386 [0.09464, 0.15308]
Incremental R2 (full-covars): 0.01011
PGS R2 (no covariates): 0.02059 [0.00727, 0.03391]
age, sex, UKB array type, Genotype PCs
PPM005297 PGS001373
(GBE_INI2217)
PSS004963|
European Ancestry|
20,985 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Age started wearing glasses or contact lenses : 0.09208 [0.08524, 0.09892]
Incremental R2 (full-covars): 0.02641
PGS R2 (no covariates): 0.02927 [0.02514, 0.03339]
age, sex, UKB array type, Genotype PCs
PPM005298 PGS001373
(GBE_INI2217)
PSS004964|
South Asian Ancestry|
6,001 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Age started wearing glasses or contact lenses : 0.10663 [0.09372, 0.11955]
Incremental R2 (full-covars): 0.0126
PGS R2 (no covariates): 0.0173 [0.01158, 0.02302]
age, sex, UKB array type, Genotype PCs
PPM005299 PGS001373
(GBE_INI2217)
PSS004965|
European Ancestry|
58,837 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Age started wearing glasses or contact lenses : 0.05662 [0.05323, 0.06001]
Incremental R2 (full-covars): 0.02363
PGS R2 (no covariates): 0.02425 [0.02196, 0.02655]
age, sex, UKB array type, Genotype PCs
PPM007210 PGS001380
(GBE_INI5264)
PSS007466|
African Ancestry|
3,212 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Corneal hysteresis (L) : 0.01964 [0.01296, 0.02632]
Incremental R2 (full-covars): 0.00556
PGS R2 (no covariates): 0.00796 [0.00366, 0.01226]
age, sex, UKB array type, Genotype PCs
PPM007211 PGS001380
(GBE_INI5264)
PSS007467|
East Asian Ancestry|
583 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Corneal hysteresis (L) : 0.02789 [0.0125, 0.04327]
Incremental R2 (full-covars): 0.0055
PGS R2 (no covariates): 0.00836 [-0.00023, 0.01696]
age, sex, UKB array type, Genotype PCs
PPM007212 PGS001380
(GBE_INI5264)
PSS007468|
European Ancestry|
7,806 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Corneal hysteresis (L) : 0.0381 [0.03343, 0.04276]
Incremental R2 (full-covars): 0.02407
PGS R2 (no covariates): 0.02484 [0.02102, 0.02866]
age, sex, UKB array type, Genotype PCs
PPM007213 PGS001380
(GBE_INI5264)
PSS007469|
South Asian Ancestry|
3,565 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Corneal hysteresis (L) : 0.02621 [0.01923, 0.03319]
Incremental R2 (full-covars): 0.01
PGS R2 (no covariates): 0.0108 [0.00625, 0.01535]
age, sex, UKB array type, Genotype PCs
PPM007214 PGS001380
(GBE_INI5264)
PSS007470|
European Ancestry|
16,274 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Corneal hysteresis (L) : 0.04917 [0.04599, 0.05236]
Incremental R2 (full-covars): 0.0339
PGS R2 (no covariates): 0.03504 [0.03231, 0.03776]
age, sex, UKB array type, Genotype PCs
PPM007190 PGS001381
(GBE_INI5256)
PSS007446|
African Ancestry|
3,254 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Corneal hysteresis (R) : 0.01474 [0.00893, 0.02056]
Incremental R2 (full-covars): 0.00536
PGS R2 (no covariates): 0.0069 [0.00289, 0.01091]
age, sex, UKB array type, Genotype PCs
PPM007191 PGS001381
(GBE_INI5256)
PSS007447|
East Asian Ancestry|
590 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Corneal hysteresis (R) : 0.04046 [0.02217, 0.05875]
Incremental R2 (full-covars): 0.01724
PGS R2 (no covariates): 0.0202 [0.007, 0.03339]
age, sex, UKB array type, Genotype PCs
PPM007192 PGS001381
(GBE_INI5256)
PSS007448|
European Ancestry|
7,821 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Corneal hysteresis (R) : 0.05427 [0.0488, 0.05974]
Incremental R2 (full-covars): 0.03632
PGS R2 (no covariates): 0.03841 [0.03373, 0.04309]
age, sex, UKB array type, Genotype PCs
PPM007193 PGS001381
(GBE_INI5256)
PSS007449|
South Asian Ancestry|
3,610 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Corneal hysteresis (R) : 0.01868 [0.01274, 0.02462]
Incremental R2 (full-covars): 0.01038
PGS R2 (no covariates): 0.01133 [0.00667, 0.01599]
age, sex, UKB array type, Genotype PCs
PPM007194 PGS001381
(GBE_INI5256)
PSS007450|
European Ancestry|
16,290 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Corneal hysteresis (R) : 0.05727 [0.05386, 0.06067]
Incremental R2 (full-covars): 0.03743
PGS R2 (no covariates): 0.03774 [0.03492, 0.04056]
age, sex, UKB array type, Genotype PCs
PPM007215 PGS001382
(GBE_INI5265)
PSS007471|
African Ancestry|
3,212 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Corneal resistance factor (L) : 0.0128 [0.00737, 0.01823]
Incremental R2 (full-covars): 0.00811
PGS R2 (no covariates): 0.0089 [0.00436, 0.01345]
age, sex, UKB array type, Genotype PCs
PPM007216 PGS001382
(GBE_INI5265)
PSS007472|
East Asian Ancestry|
583 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Corneal resistance factor (L) : 0.0417 [0.02316, 0.06025]
Incremental R2 (full-covars): 0.01915
PGS R2 (no covariates): 0.02245 [0.00857, 0.03633]
age, sex, UKB array type, Genotype PCs
PPM007217 PGS001382
(GBE_INI5265)
PSS007473|
European Ancestry|
7,806 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Corneal resistance factor (L) : 0.04343 [0.03848, 0.04838]
Incremental R2 (full-covars): 0.03796
PGS R2 (no covariates): 0.03864 [0.03394, 0.04333]
age, sex, UKB array type, Genotype PCs
PPM007218 PGS001382
(GBE_INI5265)
PSS007474|
South Asian Ancestry|
3,565 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Corneal resistance factor (L) : 0.03432 [0.0264, 0.04224]
Incremental R2 (full-covars): 0.0261
PGS R2 (no covariates): 0.02734 [0.02022, 0.03446]
age, sex, UKB array type, Genotype PCs
PPM007219 PGS001382
(GBE_INI5265)
PSS007475|
European Ancestry|
16,274 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Corneal resistance factor (L) : 0.05817 [0.05474, 0.0616]
Incremental R2 (full-covars): 0.05402
PGS R2 (no covariates): 0.05488 [0.05153, 0.05822]
age, sex, UKB array type, Genotype PCs
PPM007195 PGS001383
(GBE_INI5257)
PSS007451|
African Ancestry|
1,002 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Corneal resistance factor (R) : 0.02531 [0.01192, 0.03869]
Incremental R2 (full-covars): 0.01226
PGS R2 (no covariates): 0.0127 [0.0031, 0.02231]
age, sex, UKB array type, Genotype PCs
PPM007196 PGS001383
(GBE_INI5257)
PSS007452|
East Asian Ancestry|
161 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Corneal resistance factor (R) : 0.19696 [0.13534, 0.25858]
Incremental R2 (full-covars): 0.02804
PGS R2 (no covariates): 0.02639 [-0.00095, 0.05374]
age, sex, UKB array type, Genotype PCs
PPM007197 PGS001383
(GBE_INI5257)
PSS007453|
European Ancestry|
2,380 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Corneal resistance factor (R) : 0.05219 [0.04244, 0.06193]
Incremental R2 (full-covars): 0.04314
PGS R2 (no covariates): 0.0443 [0.03524, 0.05336]
age, sex, UKB array type, Genotype PCs
PPM007198 PGS001383
(GBE_INI5257)
PSS007454|
South Asian Ancestry|
1,090 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Corneal resistance factor (R) : 0.03596 [0.02131, 0.05061]
Incremental R2 (full-covars): 0.02434
PGS R2 (no covariates): 0.02524 [0.01283, 0.03765]
age, sex, UKB array type, Genotype PCs
PPM007199 PGS001383
(GBE_INI5257)
PSS007455|
European Ancestry|
5,012 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Corneal resistance factor (R) : 0.07286 [0.06607, 0.07966]
Incremental R2 (full-covars): 0.06589
PGS R2 (no covariates): 0.06647 [0.05993, 0.073]
age, sex, UKB array type, Genotype PCs
PPM007200 PGS001409
(GBE_INI5262)
PSS007456|
African Ancestry|
3,212 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Intra-ocular pressure, corneal-compensated (L) : 0.03733 [0.02829, 0.04637]
Incremental R2 (full-covars): -0.00441
PGS R2 (no covariates): 0.00031 [-0.00055, 0.00117]
age, sex, UKB array type, Genotype PCs
PPM007201 PGS001409
(GBE_INI5262)
PSS007457|
East Asian Ancestry|
583 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Intra-ocular pressure, corneal-compensated (L) : 0.02837 [0.01286, 0.04387]
Incremental R2 (full-covars): -0.00286
PGS R2 (no covariates): 0.00142 [-0.00215, 0.00498]
age, sex, UKB array type, Genotype PCs
PPM007202 PGS001409
(GBE_INI5262)
PSS007458|
European Ancestry|
7,806 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Intra-ocular pressure, corneal-compensated (L) : 0.0336 [0.0292, 0.038]
Incremental R2 (full-covars): 0.00913
PGS R2 (no covariates): 0.00923 [0.00687, 0.01159]
age, sex, UKB array type, Genotype PCs
PPM007203 PGS001409
(GBE_INI5262)
PSS007459|
South Asian Ancestry|
3,565 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Intra-ocular pressure, corneal-compensated (L) : 0.03369 [0.02583, 0.04154]
Incremental R2 (full-covars): 0.01088
PGS R2 (no covariates): 0.01113 [0.00651, 0.01575]
age, sex, UKB array type, Genotype PCs
PPM007204 PGS001409
(GBE_INI5262)
PSS007460|
European Ancestry|
16,274 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Intra-ocular pressure, corneal-compensated (L) : 0.03668 [0.03389, 0.03946]
Incremental R2 (full-covars): 0.01496
PGS R2 (no covariates): 0.01568 [0.01382, 0.01754]
age, sex, UKB array type, Genotype PCs
PPM007185 PGS001410
(GBE_INI5254)
PSS007436|
African Ancestry|
3,254 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Intra-ocular pressure, corneal-compensated (R) : 0.03133 [0.023, 0.03967]
Incremental R2 (full-covars): 0.00371
PGS R2 (no covariates): 0.00454 [0.00128, 0.0078]
age, sex, UKB array type, Genotype PCs
PPM007186 PGS001410
(GBE_INI5254)
PSS007437|
East Asian Ancestry|
590 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Intra-ocular pressure, corneal-compensated (R) : 0.03676 [0.01926, 0.05426]
Incremental R2 (full-covars): 0.00553
PGS R2 (no covariates): 0.00565 [-0.00143, 0.01274]
age, sex, UKB array type, Genotype PCs
PPM007187 PGS001410
(GBE_INI5254)
PSS007438|
European Ancestry|
7,821 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Intra-ocular pressure, corneal-compensated (R) : 0.02457 [0.02077, 0.02837]
Incremental R2 (full-covars): 0.00774
PGS R2 (no covariates): 0.0075 [0.00536, 0.00963]
age, sex, UKB array type, Genotype PCs
PPM007188 PGS001410
(GBE_INI5254)
PSS007439|
South Asian Ancestry|
3,610 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Intra-ocular pressure, corneal-compensated (R) : 0.02885 [0.02155, 0.03616]
Incremental R2 (full-covars): 0.01476
PGS R2 (no covariates): 0.01471 [0.00942, 0.02]
age, sex, UKB array type, Genotype PCs
PPM007189 PGS001410
(GBE_INI5254)
PSS007440|
European Ancestry|
16,290 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Intra-ocular pressure, corneal-compensated (R) : 0.037 [0.0342, 0.03979]
Incremental R2 (full-covars): 0.01657
PGS R2 (no covariates): 0.01663 [0.01471, 0.01854]
age, sex, UKB array type, Genotype PCs
PPM007205 PGS001411
(GBE_INI5263)
PSS007461|
African Ancestry|
3,212 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Intra-ocular pressure, Goldmann-correlated (L) : 0.04068 [0.03128, 0.05009]
Incremental R2 (full-covars): -0.00391
PGS R2 (no covariates): 0.00271 [0.00019, 0.00523]
age, sex, UKB array type, Genotype PCs
PPM007206 PGS001411
(GBE_INI5263)
PSS007462|
East Asian Ancestry|
583 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Intra-ocular pressure, Goldmann-correlated (L) : 0.04813 [0.02834, 0.06791]
Incremental R2 (full-covars): 0.01832
PGS R2 (no covariates): 0.01761 [0.00526, 0.02997]
age, sex, UKB array type, Genotype PCs
PPM007207 PGS001411
(GBE_INI5263)
PSS007463|
European Ancestry|
7,806 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Intra-ocular pressure, Goldmann-correlated (L) : 0.04491 [0.03988, 0.04994]
Incremental R2 (full-covars): 0.03198
PGS R2 (no covariates): 0.0316 [0.02733, 0.03588]
age, sex, UKB array type, Genotype PCs
PPM007208 PGS001411
(GBE_INI5263)
PSS007464|
South Asian Ancestry|
3,565 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Intra-ocular pressure, Goldmann-correlated (L) : 0.04426 [0.03536, 0.05317]
Incremental R2 (full-covars): 0.03415
PGS R2 (no covariates): 0.03409 [0.02619, 0.04198]
age, sex, UKB array type, Genotype PCs
PPM007209 PGS001411
(GBE_INI5263)
PSS007465|
European Ancestry|
16,274 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Intra-ocular pressure, Goldmann-correlated (L) : 0.05219 [0.04892, 0.05546]
Incremental R2 (full-covars): 0.04335
PGS R2 (no covariates): 0.04403 [0.041, 0.04705]
age, sex, UKB array type, Genotype PCs
PPM010004 PGS001890
(portability-PLR_avMSE)
PSS009386|
European Ancestry|
4,208 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: avMSE Partial Correlation (partial-r): 0.3416 [0.3146, 0.3681] sex, age, birth date, deprivation index, 16 PCs
PPM010005 PGS001890
(portability-PLR_avMSE)
PSS009160|
European Ancestry|
1,144 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: avMSE Partial Correlation (partial-r): 0.3333 [0.2803, 0.3843] sex, age, birth date, deprivation index, 16 PCs
PPM010006 PGS001890
(portability-PLR_avMSE)
PSS008714|
European Ancestry|
2,005 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: avMSE Partial Correlation (partial-r): 0.3002 [0.2596, 0.3397] sex, age, birth date, deprivation index, 16 PCs
PPM010007 PGS001890
(portability-PLR_avMSE)
PSS008488|
Greater Middle Eastern Ancestry|
440 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: avMSE Partial Correlation (partial-r): 0.2562 [0.1645, 0.3434] sex, age, birth date, deprivation index, 16 PCs
PPM010008 PGS001890
(portability-PLR_avMSE)
PSS008266|
South Asian Ancestry|
2,632 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: avMSE Partial Correlation (partial-r): 0.2318 [0.1952, 0.2677] sex, age, birth date, deprivation index, 16 PCs
PPM010009 PGS001890
(portability-PLR_avMSE)
PSS008044|
East Asian Ancestry|
634 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: avMSE Partial Correlation (partial-r): 0.1646 [0.0866, 0.2406] sex, age, birth date, deprivation index, 16 PCs
PPM010010 PGS001890
(portability-PLR_avMSE)
PSS007830|
African Ancestry|
1,331 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: avMSE Partial Correlation (partial-r): 0.1066 [0.0527, 0.1598] sex, age, birth date, deprivation index, 16 PCs
PPM010011 PGS001890
(portability-PLR_avMSE)
PSS008934|
African Ancestry|
1,910 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: avMSE Partial Correlation (partial-r): 0.0914 [0.0465, 0.1359] sex, age, birth date, deprivation index, 16 PCs
PPM010267 PGS001924
(portability-PLR_glasses)
PSS009410|
European Ancestry|
19,975 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Wears glasses or contact lenses Partial Correlation (partial-r): 0.0154 [0.0015, 0.0292] sex, age, birth date, deprivation index, 16 PCs
PPM010268 PGS001924
(portability-PLR_glasses)
PSS009184|
European Ancestry|
4,116 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Wears glasses or contact lenses Partial Correlation (partial-r): 0.0247 [-0.006, 0.0553] sex, age, birth date, deprivation index, 16 PCs
PPM010269 PGS001924
(portability-PLR_glasses)
PSS008738|
European Ancestry|
6,627 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Wears glasses or contact lenses Partial Correlation (partial-r): 0.0141 [-0.01, 0.0382] sex, age, birth date, deprivation index, 16 PCs
PPM010270 PGS001924
(portability-PLR_glasses)
PSS008512|
Greater Middle Eastern Ancestry|
1,152 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Wears glasses or contact lenses Partial Correlation (partial-r): 0.0487 [-0.0096, 0.1067] sex, age, birth date, deprivation index, 16 PCs
PPM010271 PGS001924
(portability-PLR_glasses)
PSS008290|
South Asian Ancestry|
6,213 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Wears glasses or contact lenses Partial Correlation (partial-r): 0.018 [-0.0069, 0.0429] sex, age, birth date, deprivation index, 16 PCs
PPM010272 PGS001924
(portability-PLR_glasses)
PSS008067|
East Asian Ancestry|
1,787 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Wears glasses or contact lenses Partial Correlation (partial-r): 0.0099 [-0.0368, 0.0565] sex, age, birth date, deprivation index, 16 PCs
PPM010273 PGS001924
(portability-PLR_glasses)
PSS007854|
African Ancestry|
2,456 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Wears glasses or contact lenses Partial Correlation (partial-r): -0.0146 [-0.0543, 0.0251] sex, age, birth date, deprivation index, 16 PCs
PPM010274 PGS001924
(portability-PLR_glasses)
PSS008958|
African Ancestry|
3,859 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Wears glasses or contact lenses Partial Correlation (partial-r): 0.012 [-0.0196, 0.0436] sex, age, birth date, deprivation index, 16 PCs
PPM010755 PGS001985
(portability-PLR_logMAR)
PSS009425|
European Ancestry|
4,973 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: logMAR in round (left/right) Partial Correlation (partial-r): 0.0683 [0.0405, 0.0959] sex, age, birth date, deprivation index, 16 PCs
PPM010757 PGS001985
(portability-PLR_logMAR)
PSS008753|
European Ancestry|
2,200 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: logMAR in round (left/right) Partial Correlation (partial-r): 0.0178 [-0.0242, 0.0598] sex, age, birth date, deprivation index, 16 PCs
PPM010758 PGS001985
(portability-PLR_logMAR)
PSS008527|
Greater Middle Eastern Ancestry|
473 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: logMAR in round (left/right) Partial Correlation (partial-r): 0.0533 [-0.039, 0.1447] sex, age, birth date, deprivation index, 16 PCs
PPM010759 PGS001985
(portability-PLR_logMAR)
PSS008305|
South Asian Ancestry|
2,803 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: logMAR in round (left/right) Partial Correlation (partial-r): -0.0076 [-0.0447, 0.0296] sex, age, birth date, deprivation index, 16 PCs
PPM010760 PGS001985
(portability-PLR_logMAR)
PSS008082|
East Asian Ancestry|
698 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: logMAR in round (left/right) Partial Correlation (partial-r): -0.0376 [-0.1126, 0.0378] sex, age, birth date, deprivation index, 16 PCs
PPM010761 PGS001985
(portability-PLR_logMAR)
PSS007869|
African Ancestry|
1,407 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: logMAR in round (left/right) Partial Correlation (partial-r): 0.0259 [-0.0268, 0.0784] sex, age, birth date, deprivation index, 16 PCs
PPM010762 PGS001985
(portability-PLR_logMAR)
PSS008973|
African Ancestry|
2,025 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: logMAR in round (left/right) Partial Correlation (partial-r): -0.0189 [-0.0627, 0.0249] sex, age, birth date, deprivation index, 16 PCs
PPM010756 PGS001985
(portability-PLR_logMAR)
PSS009199|
European Ancestry|
1,340 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: logMAR in round (left/right) Partial Correlation (partial-r): 0.0299 [-0.0241, 0.0837] sex, age, birth date, deprivation index, 16 PCs
PPM011680 PGS002103
(portability-ldpred2_avMSE)
PSS009386|
European Ancestry|
4,208 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: avMSE Partial Correlation (partial-r): 0.3473 [0.3203, 0.3736] sex, age, birth date, deprivation index, 16 PCs
PPM011681 PGS002103
(portability-ldpred2_avMSE)
PSS009160|
European Ancestry|
1,144 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: avMSE Partial Correlation (partial-r): 0.3219 [0.2685, 0.3734] sex, age, birth date, deprivation index, 16 PCs
PPM011682 PGS002103
(portability-ldpred2_avMSE)
PSS008714|
European Ancestry|
2,005 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: avMSE Partial Correlation (partial-r): 0.2905 [0.2497, 0.3303] sex, age, birth date, deprivation index, 16 PCs
PPM011683 PGS002103
(portability-ldpred2_avMSE)
PSS008488|
Greater Middle Eastern Ancestry|
440 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: avMSE Partial Correlation (partial-r): 0.2346 [0.1421, 0.3231] sex, age, birth date, deprivation index, 16 PCs
PPM011684 PGS002103
(portability-ldpred2_avMSE)
PSS008266|
South Asian Ancestry|
2,632 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: avMSE Partial Correlation (partial-r): 0.2366 [0.2001, 0.2725] sex, age, birth date, deprivation index, 16 PCs
PPM011685 PGS002103
(portability-ldpred2_avMSE)
PSS008044|
East Asian Ancestry|
634 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: avMSE Partial Correlation (partial-r): 0.1513 [0.073, 0.2277] sex, age, birth date, deprivation index, 16 PCs
PPM011687 PGS002103
(portability-ldpred2_avMSE)
PSS008934|
African Ancestry|
1,910 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: avMSE Partial Correlation (partial-r): 0.0959 [0.051, 0.1404] sex, age, birth date, deprivation index, 16 PCs
PPM011686 PGS002103
(portability-ldpred2_avMSE)
PSS007830|
African Ancestry|
1,331 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: avMSE Partial Correlation (partial-r): 0.0923 [0.0384, 0.1457] sex, age, birth date, deprivation index, 16 PCs
PPM011967 PGS002140
(portability-ldpred2_glasses)
PSS009410|
European Ancestry|
19,975 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Wears glasses or contact lenses Partial Correlation (partial-r): 0.0325 [0.0186, 0.0463] sex, age, birth date, deprivation index, 16 PCs
PPM011968 PGS002140
(portability-ldpred2_glasses)
PSS009184|
European Ancestry|
4,116 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Wears glasses or contact lenses Partial Correlation (partial-r): 0.0219 [-0.0087, 0.0525] sex, age, birth date, deprivation index, 16 PCs
PPM011969 PGS002140
(portability-ldpred2_glasses)
PSS008738|
European Ancestry|
6,627 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Wears glasses or contact lenses Partial Correlation (partial-r): 0.0514 [0.0273, 0.0754] sex, age, birth date, deprivation index, 16 PCs
PPM011970 PGS002140
(portability-ldpred2_glasses)
PSS008512|
Greater Middle Eastern Ancestry|
1,152 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Wears glasses or contact lenses Partial Correlation (partial-r): 0.0617 [0.0034, 0.1195] sex, age, birth date, deprivation index, 16 PCs
PPM011971 PGS002140
(portability-ldpred2_glasses)
PSS008290|
South Asian Ancestry|
6,213 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Wears glasses or contact lenses Partial Correlation (partial-r): 0.0358 [0.0109, 0.0606] sex, age, birth date, deprivation index, 16 PCs
PPM011972 PGS002140
(portability-ldpred2_glasses)
PSS008067|
East Asian Ancestry|
1,787 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Wears glasses or contact lenses Partial Correlation (partial-r): 0.0186 [-0.028, 0.0652] sex, age, birth date, deprivation index, 16 PCs
PPM011973 PGS002140
(portability-ldpred2_glasses)
PSS007854|
African Ancestry|
2,456 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Wears glasses or contact lenses Partial Correlation (partial-r): 0.0128 [-0.0269, 0.0525] sex, age, birth date, deprivation index, 16 PCs
PPM011974 PGS002140
(portability-ldpred2_glasses)
PSS008958|
African Ancestry|
3,859 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Wears glasses or contact lenses Partial Correlation (partial-r): 0.0247 [-0.007, 0.0562] sex, age, birth date, deprivation index, 16 PCs
PPM017063 PGS003413
(rvPRS_IOP)
PSS010108|
European Ancestry|
312,825 individuals
PGP000426 |
Gao XR et al. Nat Commun (2022)
Reported Trait: Glaucoma OR: 1.12 ΔAUROC (%): 0.5 age, sex
PPM017421 PGS003493
(cont-decay-avMSE)
PSS010892|
European Ancestry|
4,334 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: avMSE partial-R2: 0.12 sex, age, deprivation index, PC1-16
PPM017505 PGS003493
(cont-decay-avMSE)
PSS010808|
European Ancestry|
1,138 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: avMSE partial-R2: 0.1 sex, age, deprivation index, PC1-16
PPM017589 PGS003493
(cont-decay-avMSE)
PSS010640|
European Ancestry|
1,952 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: avMSE partial-R2: 0.08 sex, age, deprivation index, PC1-16
PPM017673 PGS003493
(cont-decay-avMSE)
PSS010556|
Greater Middle Eastern Ancestry|
432 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: avMSE partial-R2: 0.05 sex, age, deprivation index, PC1-16
PPM017757 PGS003493
(cont-decay-avMSE)
PSS010220|
European Ancestry|
467 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: avMSE partial-R2: 0.11 sex, age, deprivation index, PC1-16
PPM017841 PGS003493
(cont-decay-avMSE)
PSS010472|
South Asian Ancestry|
2,604 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: avMSE partial-R2: 0.06 sex, age, deprivation index, PC1-16
PPM017925 PGS003493
(cont-decay-avMSE)
PSS010388|
East Asian Ancestry|
631 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: avMSE partial-R2: 0.03 sex, age, deprivation index, PC1-16
PPM018009 PGS003493
(cont-decay-avMSE)
PSS010304|
African Ancestry|
1,322 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: avMSE partial-R2: 0.01 sex, age, deprivation index, PC1-16
PPM018093 PGS003493
(cont-decay-avMSE)
PSS010724|
African Ancestry|
1,891 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: avMSE partial-R2: 0.01 sex, age, deprivation index, PC1-16
PPM018722 PGS003860
(PGS_RE)
PSS011080|
European Ancestry|
6,000 individuals
PGP000498 |
Clark R et al. EBioMedicine (2023)
Reported Trait: Low myopia AUROC: 0.728 [0.715, 0.741]
PPM018736 PGS003860
(PGS_RE)
PSS011083|
South Asian Ancestry|
4,641 individuals
PGP000498 |
Clark R et al. EBioMedicine (2023)
Reported Trait: High myopia (HM6) AUROC: 0.706 [0.668, 0.743]
PPM018723 PGS003860
(PGS_RE)
PSS011078|
African Ancestry|
4,089 individuals
PGP000498 |
Clark R et al. EBioMedicine (2023)
Reported Trait: Low myopia AUROC: 0.582 [0.563, 0.601]
PPM018725 PGS003860
(PGS_RE)
PSS011079|
East Asian Ancestry|
978 individuals
PGP000498 |
Clark R et al. EBioMedicine (2023)
Reported Trait: Low myopia AUROC: 0.653 [0.619, 0.687]
PPM018726 PGS003860
(PGS_RE)
PSS011080|
European Ancestry|
6,000 individuals
PGP000498 |
Clark R et al. EBioMedicine (2023)
Reported Trait: Moderate myopia AUROC: 0.754 [0.738, 0.77]
PPM018727 PGS003860
(PGS_RE)
PSS011078|
African Ancestry|
4,089 individuals
PGP000498 |
Clark R et al. EBioMedicine (2023)
Reported Trait: Moderate myopia AUROC: 0.596 [0.566, 0.626]
PPM018728 PGS003860
(PGS_RE)
PSS011083|
South Asian Ancestry|
4,641 individuals
PGP000498 |
Clark R et al. EBioMedicine (2023)
Reported Trait: Moderate myopia AUROC: 0.686 [0.664, 0.708]
PPM018737 PGS003860
(PGS_RE)
PSS011079|
East Asian Ancestry|
978 individuals
PGP000498 |
Clark R et al. EBioMedicine (2023)
Reported Trait: High myopia (HM6) AUROC: 0.672 [0.619, 0.724]
PPM018739 PGS003860
(PGS_RE)
PSS011081|
European Ancestry|
1,649 individuals
PGP000498 |
Clark R et al. EBioMedicine (2023)
Reported Trait: Refractive error : 0.141 [0.112, 0.171]
PPM018729 PGS003860
(PGS_RE)
PSS011079|
East Asian Ancestry|
978 individuals
PGP000498 |
Clark R et al. EBioMedicine (2023)
Reported Trait: Moderate myopia AUROC: 0.66 [0.621, 0.699]
PPM018731 PGS003860
(PGS_RE)
PSS011078|
African Ancestry|
4,089 individuals
PGP000498 |
Clark R et al. EBioMedicine (2023)
Reported Trait: High myopia (HM5) AUROC: 0.586 [0.542, 0.629]
PPM018740 PGS003860
(PGS_RE)
PSS011082|
European Ancestry|
1,277 individuals
PGP000498 |
Clark R et al. EBioMedicine (2023)
Reported Trait: Moderate hyperopia AUROC: 0.765 [0.695, 0.825]
PPM018741 PGS003860
(PGS_RE)
PSS011081|
European Ancestry|
1,649 individuals
PGP000498 |
Clark R et al. EBioMedicine (2023)
Reported Trait: Moderate hyperopia AUROC: 0.774 [0.698, 0.845]
PPM018732 PGS003860
(PGS_RE)
PSS011083|
South Asian Ancestry|
4,641 individuals
PGP000498 |
Clark R et al. EBioMedicine (2023)
Reported Trait: High myopia (HM5) AUROC: 0.695 [0.664, 0.726]
PPM018735 PGS003860
(PGS_RE)
PSS011078|
African Ancestry|
4,089 individuals
PGP000498 |
Clark R et al. EBioMedicine (2023)
Reported Trait: High myopia (HM6) AUROC: 0.584 [0.53, 0.639]
PPM018714 PGS003860
(PGS_RE)
PSS011080|
European Ancestry|
6,000 individuals
PGP000498 |
Clark R et al. EBioMedicine (2023)
Reported Trait: Refractive error : 0.19 [0.172, 0.208]
PPM018715 PGS003860
(PGS_RE)
PSS011078|
African Ancestry|
4,089 individuals
PGP000498 |
Clark R et al. EBioMedicine (2023)
Reported Trait: Refractive error : 0.02 [0.012, 0.029]
PPM018716 PGS003860
(PGS_RE)
PSS011083|
South Asian Ancestry|
4,641 individuals
PGP000498 |
Clark R et al. EBioMedicine (2023)
Reported Trait: Refractive error : 0.08 [0.066, 0.096]
PPM018717 PGS003860
(PGS_RE)
PSS011079|
East Asian Ancestry|
978 individuals
PGP000498 |
Clark R et al. EBioMedicine (2023)
Reported Trait: Refractive error : 0.06 [0.034, 0.092]
PPM018718 PGS003860
(PGS_RE)
PSS011080|
European Ancestry|
6,000 individuals
PGP000498 |
Clark R et al. EBioMedicine (2023)
Reported Trait: Moderate hyperopia AUROC: 0.742 [0.718, 0.766]
PPM018719 PGS003860
(PGS_RE)
PSS011078|
African Ancestry|
4,089 individuals
PGP000498 |
Clark R et al. EBioMedicine (2023)
Reported Trait: Moderate hyperopia AUROC: 0.61 [0.543, 0.677]
PPM018720 PGS003860
(PGS_RE)
PSS011083|
South Asian Ancestry|
4,641 individuals
PGP000498 |
Clark R et al. EBioMedicine (2023)
Reported Trait: Moderate hyperopia AUROC: 0.676 [0.631, 0.721]
PPM018721 PGS003860
(PGS_RE)
PSS011079|
East Asian Ancestry|
978 individuals
PGP000498 |
Clark R et al. EBioMedicine (2023)
Reported Trait: Moderate hyperopia AUROC: 0.61 [0.415, 0.805]
PPM018733 PGS003860
(PGS_RE)
PSS011079|
East Asian Ancestry|
978 individuals
PGP000498 |
Clark R et al. EBioMedicine (2023)
Reported Trait: High myopia (HM5) AUROC: 0.648 [0.601, 0.694]
PPM018734 PGS003860
(PGS_RE)
PSS011080|
European Ancestry|
6,000 individuals
PGP000498 |
Clark R et al. EBioMedicine (2023)
Reported Trait: High myopia (HM6) AUROC: 0.783 [0.754, 0.812]
PPM018724 PGS003860
(PGS_RE)
PSS011083|
South Asian Ancestry|
4,641 individuals
PGP000498 |
Clark R et al. EBioMedicine (2023)
Reported Trait: Low myopia AUROC: 0.647 [0.631, 0.664]
PPM018730 PGS003860
(PGS_RE)
PSS011080|
European Ancestry|
6,000 individuals
PGP000498 |
Clark R et al. EBioMedicine (2023)
Reported Trait: High myopia (HM5) AUROC: 0.774 [0.75, 0.798]
PPM018738 PGS003860
(PGS_RE)
PSS011082|
European Ancestry|
1,277 individuals
PGP000498 |
Clark R et al. EBioMedicine (2023)
Reported Trait: Refractive error : 0.116 [0.079, 0.153]
PPM018742 PGS003860
(PGS_RE)
PSS011082|
European Ancestry|
1,277 individuals
PGP000498 |
Clark R et al. EBioMedicine (2023)
Reported Trait: Low myopia AUROC: 0.703 [0.654, 0.751]
PPM018743 PGS003860
(PGS_RE)
PSS011081|
European Ancestry|
1,649 individuals
PGP000498 |
Clark R et al. EBioMedicine (2023)
Reported Trait: Low myopia AUROC: 0.691 [0.659, 0.722]
PPM018744 PGS003860
(PGS_RE)
PSS011082|
European Ancestry|
1,277 individuals
PGP000498 |
Clark R et al. EBioMedicine (2023)
Reported Trait: Moderate myopia AUROC: 0.735 [0.6, 0.854]
PPM018745 PGS003860
(PGS_RE)
PSS011081|
European Ancestry|
1,649 individuals
PGP000498 |
Clark R et al. EBioMedicine (2023)
Reported Trait: Moderate myopia AUROC: 0.691 [0.624, 0.754]
PPM018746 PGS003860
(PGS_RE)
PSS011082|
European Ancestry|
1,277 individuals
PGP000498 |
Clark R et al. EBioMedicine (2023)
Reported Trait: High myopia (HM5) AUROC: 0.579 [0.567, 0.592]
PPM018747 PGS003860
(PGS_RE)
PSS011081|
European Ancestry|
1,649 individuals
PGP000498 |
Clark R et al. EBioMedicine (2023)
Reported Trait: High myopia (HM6) AUROC: 0.739 [0.619, 0.851]
PPM018748 PGS003860
(PGS_RE)
PSS011081|
European Ancestry|
1,649 individuals
PGP000498 |
Clark R et al. EBioMedicine (2023)
Reported Trait: High myopia (HM6) AUROC: 0.783 [0.754, 0.812]
PPM018749 PGS003860
(PGS_RE)
PSS011089|
Ancestry Not Reported|
6,119 individuals
PGP000498 |
Clark R et al. EBioMedicine (2023)
Reported Trait: Refractive error : 0.05 [0.04, 0.06]
PPM018750 PGS003860
(PGS_RE)
PSS011088|
Ancestry Not Reported|
4,037 individuals
PGP000498 |
Clark R et al. EBioMedicine (2023)
Reported Trait: Refractive error : 0.12 [0.1, 0.14]
PPM020546 PGS004431
(X4290.score)
PSS011364|
European Ancestry|
56,192 individuals
PGP000561 |
Jung H et al. Commun Biol (2024)
Reported Trait: Duration screen displayed PGS R2 (no covariates): 0.11498

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
PSS009160 1,144 individuals European Poland (NE Europe) UKB
PSS001136 Cases included individuals with high-tension adavanced glaucoma. Advanced glaucoma was defined by a Humphrey 24-2 visual field mean deviation of less than e15 dB in the worse eye, or loss of at least 2 of the central visual field points on the pattern deviation map. High-tension glaucoma is defined by a maximum IOP of more than 21 mmHg.
[
  • 1,416 cases
  • , 738 controls
]
,
46.37 % Male samples
Mean = 77.4 years
Sd = 13.2 years
European ANZRAG
PSS001137 Cases included individuals with adavanced glaucoma who have required bilateral incisional surgeries to manage their glaucoma. Advanced glaucoma was defined by a Humphrey 24-2 visual field mean deviation of less than e15 dB in the worse eye, or loss of at least 2 of the central visual field points on the pattern deviation map. Incisional surgeries were mostly trabeculectomies. Other incisional surgeries included tube shunt surgery, deep sclerectomy and Xen Gel implants.
[
  • 424 cases
  • , 1,730 controls
]
European ANZRAG
PSS001138 Cases included individuals with adavanced glaucoma who have required incisional surgeries to manage their glaucoma. Advanced glaucoma was defined by a Humphrey 24-2 visual field mean deviation of less than e15 dB in the worse eye, or loss of at least 2 of the central visual field points on the pattern deviation map. Incisional surgeries were mostly trabeculectomies. Other incisional surgeries included tube shunt surgery, deep sclerectomy and Xen Gel implants.
[
  • 844 cases
  • , 1,310 controls
]
European ANZRAG
PSS009184 4,116 individuals European Poland (NE Europe) UKB
PSS007854 2,456 individuals African American or Afro-Caribbean Carribean UKB
PSS009199 1,340 individuals European Poland (NE Europe) UKB
PSS009386 4,208 individuals European UK (+ Ireland) UKB
PSS008714 2,005 individuals European Italy (South Europe) UKB
PSS010724 1,891 individuals,
43.0 % Male samples
Mean = 52.2 years
Sd = 8.1 years
African unspecified Nigerian UKB
PSS010220 467 individuals,
43.0 % Male samples
Mean = 58.9 years
Sd = 6.9 years
European Ashkenazi UKB
PSS008738 6,627 individuals European Italy (South Europe) UKB
PSS011078 4,089 individuals African unspecified UKB
PSS011079 978 individuals East Asian UKB
PSS011080 6,000 individuals European UKB
PSS011081 1,649 individuals,
48.7 % Male samples
Mean = 13.62 years
Sd = 0.36 years
European Generation_R
PSS011082 1,277 individuals,
50.4 % Male samples
Mean = 9.83 years
Sd = 0.35 years
European Generation_R
PSS011083 4,641 individuals South Asian UKB
PSS008753 2,200 individuals European Italy (South Europe) UKB
PSS011089 6,119 individuals,
50.7 % Male samples
Mean = 7.53 years
Sd = 0.31 years
Not reported ALSPAC
PSS011088 4,037 individuals,
47.2 % Male samples
Mean = 15.43 years
Sd = 0.28 years
Not reported ALSPAC
PSS008266 2,632 individuals South Asian India (South Asia) UKB
PSS007366 3,314 individuals African unspecified UKB
PSS007367 597 individuals East Asian UKB
PSS007368 7,920 individuals European non-white British ancestry UKB
PSS007369 3,663 individuals South Asian UKB
PSS007370 16,545 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS007371 3,300 individuals African unspecified UKB
PSS007372 596 individuals East Asian UKB
PSS007373 7,900 individuals European non-white British ancestry UKB
PSS007374 3,648 individuals South Asian UKB
PSS007375 16,473 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS007376 3,105 individuals African unspecified UKB
PSS007377 573 individuals East Asian UKB
PSS007378 7,529 individuals European non-white British ancestry UKB
PSS007379 3,455 individuals South Asian UKB
PSS007380 15,926 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS007381 2,562 individuals African unspecified UKB
PSS007382 488 individuals East Asian UKB
PSS007383 6,614 individuals European non-white British ancestry UKB
PSS007384 2,974 individuals South Asian UKB
PSS007385 13,827 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS007386 2,479 individuals African unspecified UKB
PSS007387 464 individuals East Asian UKB
PSS007388 6,613 individuals European non-white British ancestry UKB
PSS007389 2,955 individuals South Asian UKB
PSS007390 14,037 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS007391 3,083 individuals African unspecified UKB
PSS007392 561 individuals East Asian UKB
PSS007393 7,490 individuals European non-white British ancestry UKB
PSS007394 3,448 individuals South Asian UKB
PSS007395 15,963 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS010304 1,322 individuals,
37.0 % Male samples
Mean = 52.8 years
Sd = 7.9 years
African American or Afro-Caribbean Caribbean UKB
PSS007401 3,105 individuals African unspecified UKB
PSS007402 573 individuals East Asian UKB
PSS007403 7,529 individuals European non-white British ancestry UKB
PSS007404 3,455 individuals South Asian UKB
PSS007405 15,926 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS007406 2,562 individuals African unspecified UKB
PSS007407 488 individuals East Asian UKB
PSS007408 6,612 individuals European non-white British ancestry UKB
PSS007409 2,974 individuals South Asian UKB
PSS007410 13,819 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS007411 3,083 individuals African unspecified UKB
PSS007412 561 individuals East Asian UKB
PSS007413 7,490 individuals European non-white British ancestry UKB
PSS007414 3,448 individuals South Asian UKB
PSS007415 15,963 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS007416 3,083 individuals African unspecified UKB
PSS007417 561 individuals East Asian UKB
PSS007418 7,490 individuals European non-white British ancestry UKB
PSS007419 3,448 individuals South Asian UKB
PSS007420 15,963 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS007421 2,479 individuals African unspecified UKB
PSS007422 464 individuals East Asian UKB
PSS007423 6,613 individuals European non-white British ancestry UKB
PSS007424 2,955 individuals South Asian UKB
PSS007425 14,037 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS007426 2,562 individuals African unspecified UKB
PSS000231 Advanced primary open-angle glaucoma
[
  • 1,734 cases
  • , 2,938 controls
]
European ANZRAG Samples come from Phase 1 and Phase 2 of ANZRAG.
PSS007427 488 individuals East Asian UKB
PSS007428 6,614 individuals European non-white British ancestry UKB
PSS007429 2,974 individuals South Asian UKB
PSS007431 3,105 individuals African unspecified UKB
PSS007432 573 individuals East Asian UKB
PSS007433 7,529 individuals European non-white British ancestry UKB
PSS007434 3,455 individuals South Asian UKB
PSS007435 15,926 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS007430 13,827 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS007436 3,254 individuals African unspecified UKB
PSS007437 590 individuals East Asian UKB
PSS007438 7,821 individuals European non-white British ancestry UKB
PSS007439 3,610 individuals South Asian UKB
PSS007441 3,254 individuals African unspecified UKB
PSS007442 590 individuals East Asian UKB
PSS007443 7,821 individuals European non-white British ancestry UKB
PSS007444 3,610 individuals South Asian UKB
PSS007445 16,290 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS007446 3,254 individuals African unspecified UKB
PSS007447 590 individuals East Asian UKB
PSS007448 7,821 individuals European non-white British ancestry UKB
PSS007449 3,610 individuals South Asian UKB
PSS007450 16,290 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS007451 1,002 individuals African unspecified UKB
PSS007452 161 individuals East Asian UKB
PSS007453 2,380 individuals European non-white British ancestry UKB
PSS007454 1,090 individuals South Asian UKB
PSS007455 5,012 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS007456 3,212 individuals African unspecified UKB
PSS007457 583 individuals East Asian UKB
PSS007458 7,806 individuals European non-white British ancestry UKB
PSS007459 3,565 individuals South Asian UKB
PSS007460 16,274 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS007461 3,212 individuals African unspecified UKB
PSS007462 583 individuals East Asian UKB
PSS007463 7,806 individuals European non-white British ancestry UKB
PSS007464 3,565 individuals South Asian UKB
PSS007465 16,274 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS007466 3,212 individuals African unspecified UKB
PSS007467 583 individuals East Asian UKB
PSS007468 7,806 individuals European non-white British ancestry UKB
PSS007469 3,565 individuals South Asian UKB
PSS007470 16,274 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS007471 3,212 individuals African unspecified UKB
PSS007472 583 individuals East Asian UKB
PSS007473 7,806 individuals European non-white British ancestry UKB
PSS007474 3,565 individuals South Asian UKB
PSS007475 16,274 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS010388 631 individuals,
31.0 % Male samples
Mean = 53.8 years
Sd = 8.1 years
East Asian Chinese UKB
PSS007869 1,407 individuals African American or Afro-Caribbean Carribean UKB
PSS009410 19,975 individuals European UK (+ Ireland) UKB
PSS008305 2,803 individuals South Asian India (South Asia) UKB
PSS009425 4,973 individuals European UK (+ Ireland) UKB
PSS010108 312,825 individuals European UKB
PSS010808 1,138 individuals,
36.0 % Male samples
Mean = 54.7 years
Sd = 8.0 years
European Polish UKB
PSS008934 1,910 individuals African unspecified Nigeria (West Africa) UKB
PSS004961 4,649 individuals African unspecified UKB
PSS004962 1,320 individuals East Asian UKB
PSS004963 20,985 individuals European non-white British ancestry UKB
PSS004964 6,001 individuals South Asian UKB
PSS004965 58,837 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS008958 3,859 individuals African unspecified Nigeria (West Africa) UKB
PSS008973 2,025 individuals African unspecified Nigeria (West Africa) UKB
PSS010472 2,604 individuals,
54.0 % Male samples
Mean = 53.6 years
Sd = 8.4 years
South Asian Indian UKB
PSS011364 56,192 individuals European UKB
PSS008488 440 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS008512 1,152 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS008527 473 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS010556 432 individuals,
56.0 % Male samples
Mean = 52.8 years
Sd = 8.2 years
Greater Middle Eastern (Middle Eastern, North African or Persian) Iranian UKB
PSS008044 634 individuals East Asian China (East Asia) UKB
PSS007440 16,290 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS007830 1,331 individuals African American or Afro-Caribbean Carribean UKB
PSS008290 6,213 individuals South Asian India (South Asia) UKB
PSS008067 1,787 individuals East Asian China (East Asia) UKB
PSS010892 4,334 individuals,
48.0 % Male samples
Mean = 57.1 years
Sd = 8.0 years
European white British UKB
PSS008082 698 individuals East Asian China (East Asia) UKB
PSS010640 1,952 individuals,
44.0 % Male samples
Mean = 54.5 years
Sd = 8.6 years
European Italian UKB