| 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 |
| 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 | |
| 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 |
|
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) | — | — | R²: 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) | — | — | R²: 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) | — | — | R²: 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) | — | — | R²: 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) | — | — | R²: 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) | — | — | R²: 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) | — | — | R²: 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) | — | — | R²: 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) | — | — | R²: 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) | — | — | R²: 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) | — | — | 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 | — |
| PPM007210 | PGS001380 (GBE_INI5264) |
PSS007466| African Ancestry| 3,212 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Corneal hysteresis (L) | — | — | R²: 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) | — | — | R²: 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) | — | — | R²: 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) | — | — | R²: 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) | — | — | R²: 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) | — | — | R²: 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) | — | — | R²: 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) | — | — | R²: 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) | — | — | R²: 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) | — | — | R²: 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) | — | — | R²: 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) | — | — | R²: 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) | — | — | R²: 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) | — | — | R²: 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) | — | — | R²: 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) | — | — | R²: 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) | — | — | R²: 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) | — | — | R²: 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) | — | — | R²: 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) | — | — | R²: 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) | — | — | 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. 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 | — | — | R²: 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 | — | — | R²: 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 | — | — | R²: 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 | — | — | R²: 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 | — | — | R²: 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 | — | — | R²: 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 | — | — | R²: 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 | — | — | R²: 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 | — | — |
|
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. | — | [ ,
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. | — | [
|
— | 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. | — | [
|
— | 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 | — | [
|
— | 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 | — |