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) 2 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
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
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. Nature (2023)
 avMSE visual acuity measurement 979,739
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003493/ScoringFiles/PGS003493.txt.gz
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] — —
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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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 — — R²: 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 — — R²: 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 — — R²: 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 — — R²: 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 — — R²: 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 —
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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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) — — R²: 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. Nature (2023)
 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. Nature (2023)
 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. Nature (2023)
 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. Nature (2023)
 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. Nature (2023)
 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. Nature (2023)
 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. Nature (2023)
 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. Nature (2023)
 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. Nature (2023)
 Reported Trait: avMSE — — partial-R2: 0.01 sex, age, deprivation index, PC1-16 —
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 —
PSS009199 — — 1,340 individuals — European Poland (NE Europe) 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 —
PSS008753 — — 2,200 individuals — European Italy (South Europe) UKB —
PSS008266 — — 2,632 individuals — South Asian India (South Asia) UKB —
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)
PSS007440 — — 16,290 individuals — European white British ancestry UKB Testing cohort (heldout set)
PSS007830 — — 1,331 individuals — African American or Afro-Caribbean Carribean UKB —
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)
PSS009386 — — 4,208 individuals — European UK (+ Ireland) UKB —
PSS007854 — — 2,456 individuals — African American or Afro-Caribbean Carribean UKB —
PSS010892 — — 4,334 individuals,
48.0 % Male samples
 Mean = 57.1 years
Sd = 8.0 years		 European white British UKB —
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 —
PSS008290 — — 6,213 individuals — South Asian India (South Asia) UKB —
PSS008067 — — 1,787 individuals — East Asian China (East Asia) 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 —