| Trait Information | |
| Identifier | MONDO_0002022 |
| Description | A disease that involves the orbital region. [MONDO: patterns/location] | Trait category |
Other disease
|
| Synonyms |
6 synonyms
|
| Child trait(s) |
21 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) |
|---|---|---|---|---|---|---|
| PGS000137 (MTAG_glaucoma) |
PGP000066 | Craig JE et al. Nat Genet (2020) |
Glaucoma | glaucoma | 2,673 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000137/ScoringFiles/PGS000137.txt.gz | |
| PGS000350 (GRS12_POAG) |
PGP000115 | Fan BJ et al. JAMA Ophthalmol (2019) |
Primary open-angle glaucoma | open-angle glaucoma | 12 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000350/ScoringFiles/PGS000350.txt.gz |
| PGS000617 (PRSWEB_PHECODE190_20001-1030_PRS-CS_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Ocular cancer | ocular cancer | 834,009 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000617/ScoringFiles/PGS000617.txt.gz | |
| PGS000764 (PRS23_POAG) |
PGP000169 | Cole BS et al. Invest Ophthalmol Vis Sci (2021) |
Primary-open angle glaucoma | open-angle glaucoma | 23 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000764/ScoringFiles/PGS000764.txt.gz |
| PGS000819 (PRS_DR) |
PGP000203 | Forrest IS et al. Hum Mol Genet (2021) |
Diabetic retinopathy | diabetic retinopathy | 3,537,914 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000819/ScoringFiles/PGS000819.txt.gz |
| PGS000862 (DR) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Diabetic Retinopathy | diabetic retinopathy | 30 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000862/ScoringFiles/PGS000862.txt.gz |
| PGS000966 (GBE_HC26) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Iritis | iritis | 1 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000966/ScoringFiles/PGS000966.txt.gz |
| PGS000990 (GBE_HC878) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Retinal detachments and breaks (time-to-event) | retinal break, retinal detachment |
237 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000990/ScoringFiles/PGS000990.txt.gz |
| PGS001013 (GBE_BIN_FC5006148) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Macular degeneration | macular degeneration | 53 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001013/ScoringFiles/PGS001013.txt.gz |
| PGS001028 (GBE_BIN_FC1006148) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Diabetic eye disease | diabetic eye disease | 123 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001028/ScoringFiles/PGS001028.txt.gz |
| PGS001029 (GBE_HC866) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Other disorders of cornea (time-to-event) | corneal disorder | 22 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001029/ScoringFiles/PGS001029.txt.gz |
| PGS001137 (GBE_HC302) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Retinal detachment | retinal detachment | 321 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001137/ScoringFiles/PGS001137.txt.gz |
| PGS001275 (GBE_HC880) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Other retinal disorders (time-to-event) | retinal disorder | 6 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001275/ScoringFiles/PGS001275.txt.gz |
| PGS001276 (GBE_HC881) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Retinal disorders in diseases classified elsewhere (time-to-event) | retinal disorder | 185 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001276/ScoringFiles/PGS001276.txt.gz |
| PGS001302 (GBE_HC25) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Cataract | cataract | 1,214 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001302/ScoringFiles/PGS001302.txt.gz |
| PGS001303 (GBE_HC872) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Other cataract (time-to-event) | cataract | 480 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001303/ScoringFiles/PGS001303.txt.gz |
| PGS001308 (GBE_HC321) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Sjogren's syndrome/sicca syndrome | Sjogren syndrome | 7 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001308/ScoringFiles/PGS001308.txt.gz |
| PGS001321 (GBE_BIN_FC2006148) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Eye problems/disorders (Glaucoma) | glaucoma | 1,103 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001321/ScoringFiles/PGS001321.txt.gz |
| PGS001322 (GBE_HC276) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Glaucoma | glaucoma | 655 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001322/ScoringFiles/PGS001322.txt.gz |
| PGS001323 (GBE_HC882) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Glaucoma (time-to-event) | glaucoma | 2,066 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001323/ScoringFiles/PGS001323.txt.gz |
| PGS001792 (1kgeur_gbmi_leaveUKBBout_POAG_pst_eff_a1_b0.5_phiauto) |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Primary open-angle glaucoma | glaucoma | 911,402 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001792/ScoringFiles/PGS001792.txt.gz |
| PGS001797 (1kgeur_gbmi_POAG_pst_eff_a1_b0.5_phiauto) |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Primary open-angle glaucoma | open-angle glaucoma | 885,417 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001797/ScoringFiles/PGS001797.txt.gz |
| PGS001819 (portability-PLR_250.7) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Diabetic retinopathy | diabetic retinopathy | 249 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001819/ScoringFiles/PGS001819.txt.gz |
| PGS001833 (portability-PLR_361) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Retinal detachments and defects | retinal detachment | 3,737 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001833/ScoringFiles/PGS001833.txt.gz |
| PGS001834 (portability-PLR_362.29) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Macular degeneration (senile) of retina NOS | age-related macular degeneration | 157 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001834/ScoringFiles/PGS001834.txt.gz |
| PGS001835 (portability-PLR_364.5) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Corneal dystrophy | corneal dystrophy | 38 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001835/ScoringFiles/PGS001835.txt.gz |
| PGS001836 (portability-PLR_365) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Glaucoma | glaucoma | 7,052 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001836/ScoringFiles/PGS001836.txt.gz |
| PGS001837 (portability-PLR_366) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Cataract | cataract | 11,617 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001837/ScoringFiles/PGS001837.txt.gz |
| PGS002027 (portability-ldpred2_250.7) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Diabetic retinopathy | diabetic retinopathy | 389,029 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002027/ScoringFiles/PGS002027.txt.gz |
| PGS002040 (portability-ldpred2_361) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Retinal detachments and defects | retinal detachment | 706,872 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002040/ScoringFiles/PGS002040.txt.gz |
| PGS002041 (portability-ldpred2_362.29) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Macular degeneration (senile) of retina NOS | age-related macular degeneration | 116,538 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002041/ScoringFiles/PGS002041.txt.gz |
| PGS002042 (portability-ldpred2_364.5) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Corneal dystrophy | corneal dystrophy | 59,944 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002042/ScoringFiles/PGS002042.txt.gz |
| PGS002043 (portability-ldpred2_365) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Glaucoma | glaucoma | 672,952 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002043/ScoringFiles/PGS002043.txt.gz |
| PGS002044 (portability-ldpred2_366) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Cataract | cataract | 711,169 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002044/ScoringFiles/PGS002044.txt.gz |
| PGS002045 (portability-ldpred2_371) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Inflammation of the eye | eye inflammation, eye disorder |
527,030 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002045/ScoringFiles/PGS002045.txt.gz |
| PGS002269 (PRS47_AMD) |
PGP000299 | Zekavat SM et al. Ophthalmology (2022) |
Age-related macular degeneration | age-related macular degeneration | 47 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002269/ScoringFiles/PGS002269.txt.gz |
| PGS002292 (PRS36_KC) |
PGP000321 | He W et al. JAMA Ophthalmol (2022) |
Keratoconus | keratoconus | 36 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002292/ScoringFiles/PGS002292.txt.gz |
| PGS002741 (GRS127_POAG_META) |
PGP000352 | Waksmunski AR et al. Ophthalmology (2022) |
Primary open-angle glaucoma | open-angle glaucoma | 127 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002741/ScoringFiles/PGS002741.txt.gz |
| PGS002761 (Glaucoma_prscs) |
PGP000364 | Mars N et al. Am J Hum Genet (2022) |
Glaucoma | glaucoma | 1,082,518 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002761/ScoringFiles/PGS002761.txt.gz |
| PGS004454 (disease.H26.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
H26 (Other cataract) | cataract | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004454/ScoringFiles/PGS004454.txt.gz |
| PGS004524 (meta.H26.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
H26 (Other cataract) | cataract | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004524/ScoringFiles/PGS004524.txt.gz |
| PGS004606 (AMD-IAMDGC-EUR) |
PGP000582 | Gorman BR et al. Nat Genet (2024) |
Age-related macular degeneration | age-related macular degeneration | 1,000,946 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004606/ScoringFiles/PGS004606.txt.gz |
| PGS004607 (AMD-MVP-AFR) |
PGP000582 | Gorman BR et al. Nat Genet (2024) |
Age-related macular degeneration | age-related macular degeneration | 1,067,520 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004607/ScoringFiles/PGS004607.txt.gz |
| PGS004765 (glaucoma_PRSmix_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Glaucoma | glaucoma | 835,476 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004765/ScoringFiles/PGS004765.txt.gz |
| PGS004766 (glaucoma_PRSmixPlus_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Glaucoma | glaucoma | 837,948 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004766/ScoringFiles/PGS004766.txt.gz |
| PGS004944 (lassosum_weights_POAG_CROSS_EUR) |
PGP000670 | Sekimitsu S et al. JAMA Ophthalmol (2023) |
Primary open-angle glaucoma | open-angle glaucoma | 144,019 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004944/ScoringFiles/PGS004944.txt.gz |
| PGS004952 (PRS52_AMD) |
PGP000673 | Herold JM et al. Invest Ophthalmol Vis Sci (2023) |
Age-related macular degeneration | age-related macular degeneration | 52 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004952/ScoringFiles/PGS004952.txt.gz |
| PGS005142 (Cataract (PRS-CS; EAS)) |
PGP000704 | Jung HU et al. Commun Biol (2025) |
Cataract | cataract | 908,465 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005142/ScoringFiles/PGS005142.txt.gz |
| PGS005149 (Cataract (PRS-CSx; EAS+EUR)) |
PGP000704 | Jung HU et al. Commun Biol (2025) |
Cataract | cataract | 908,465 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005149/ScoringFiles/PGS005149.txt.gz |
| PGS018740 (TPMI_250.7_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Diabetic retinopathy | diabetic retinopathy | 96 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018740/ScoringFiles/PGS018740.txt.gz | |
| PGS018741 (TPMI_250.7_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Diabetic retinopathy | diabetic retinopathy | 939,811 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018741/ScoringFiles/PGS018741.txt.gz | |
| PGS018742 (TPMI_250.7_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Diabetic retinopathy | diabetic retinopathy | 80,280 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018742/ScoringFiles/PGS018742.txt.gz | |
| PGS018743 (TPMI_250.7_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Diabetic retinopathy | diabetic retinopathy | 983,771 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018743/ScoringFiles/PGS018743.txt.gz | |
| PGS018744 (TPMI_250.7_PRSmix+) |
PGP000835 | Chen HH et al. Nature (2025) |
Diabetic retinopathy | diabetic retinopathy | 1,071,355 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018744/ScoringFiles/PGS018744.txt.gz | |
| PGS018745 (TPMI_250.7_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Diabetic retinopathy | diabetic retinopathy | 1,014,773 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018745/ScoringFiles/PGS018745.txt.gz | |
| PGS018758 (TPMI_250.23_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Type 2 diabetes with ophthalmic manifestations | diabetic eye disease | 7,766 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018758/ScoringFiles/PGS018758.txt.gz | |
| PGS018759 (TPMI_250.23_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Type 2 diabetes with ophthalmic manifestations | diabetic eye disease | 939,826 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018759/ScoringFiles/PGS018759.txt.gz | |
| PGS018760 (TPMI_250.23_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Type 2 diabetes with ophthalmic manifestations | diabetic eye disease | 159,132 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018760/ScoringFiles/PGS018760.txt.gz | |
| PGS018761 (TPMI_250.23_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Type 2 diabetes with ophthalmic manifestations | diabetic eye disease | 983,777 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018761/ScoringFiles/PGS018761.txt.gz | |
| PGS018762 (TPMI_250.23_PRSmix+) |
PGP000835 | Chen HH et al. Nature (2025) |
Type 2 diabetes with ophthalmic manifestations | diabetic eye disease | 1,071,469 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018762/ScoringFiles/PGS018762.txt.gz | |
| PGS018763 (TPMI_250.23_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Type 2 diabetes with ophthalmic manifestations | diabetic eye disease | 1,005,452 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018763/ScoringFiles/PGS018763.txt.gz | |
| PGS019006 (TPMI_361_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Retinal detachments and defects | retinal detachment | 37,750 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019006/ScoringFiles/PGS019006.txt.gz | |
| PGS019007 (TPMI_361_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Retinal detachments and defects | retinal detachment | 336,398 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019007/ScoringFiles/PGS019007.txt.gz | |
| PGS019008 (TPMI_361_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Retinal detachments and defects | retinal detachment | 20,644 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019008/ScoringFiles/PGS019008.txt.gz | |
| PGS019009 (TPMI_361_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Retinal detachments and defects | retinal detachment | 983,814 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019009/ScoringFiles/PGS019009.txt.gz | |
| PGS019010 (TPMI_361_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Retinal detachments and defects | retinal detachment | 994,334 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019010/ScoringFiles/PGS019010.txt.gz | |
| PGS019011 (TPMI_362_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Other retinal disorders | retinal disorder | 12 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019011/ScoringFiles/PGS019011.txt.gz | |
| PGS019012 (TPMI_362_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Other retinal disorders | retinal disorder | 939,882 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019012/ScoringFiles/PGS019012.txt.gz | |
| PGS019013 (TPMI_362_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Other retinal disorders | retinal disorder | 27,392 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019013/ScoringFiles/PGS019013.txt.gz | |
| PGS019014 (TPMI_362_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Other retinal disorders | retinal disorder | 983,815 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019014/ScoringFiles/PGS019014.txt.gz | |
| PGS019015 (TPMI_362_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Other retinal disorders | retinal disorder | 936,613 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019015/ScoringFiles/PGS019015.txt.gz | |
| PGS019016 (TPMI_362.2_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Degeneration of macula and posterior pole of retina | degeneration of macula and posterior pole | 4 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019016/ScoringFiles/PGS019016.txt.gz | |
| PGS019017 (TPMI_362.2_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Degeneration of macula and posterior pole of retina | degeneration of macula and posterior pole | 314,377 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019017/ScoringFiles/PGS019017.txt.gz | |
| PGS019018 (TPMI_362.2_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Degeneration of macula and posterior pole of retina | degeneration of macula and posterior pole | 34,660 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019018/ScoringFiles/PGS019018.txt.gz | |
| PGS019019 (TPMI_362.2_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Degeneration of macula and posterior pole of retina | degeneration of macula and posterior pole | 983,766 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019019/ScoringFiles/PGS019019.txt.gz | |
| PGS019020 (TPMI_362.2_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Degeneration of macula and posterior pole of retina | degeneration of macula and posterior pole | 1,008,320 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019020/ScoringFiles/PGS019020.txt.gz | |
| PGS019021 (TPMI_362.6_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Peripheral retinal degenerations | retinal degeneration | 107 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019021/ScoringFiles/PGS019021.txt.gz | |
| PGS019022 (TPMI_362.6_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Peripheral retinal degenerations | retinal degeneration | 939,860 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019022/ScoringFiles/PGS019022.txt.gz | |
| PGS019023 (TPMI_362.6_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Peripheral retinal degenerations | retinal degeneration | 24,607 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019023/ScoringFiles/PGS019023.txt.gz | |
| PGS019024 (TPMI_362.6_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Peripheral retinal degenerations | retinal degeneration | 983,802 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019024/ScoringFiles/PGS019024.txt.gz | |
| PGS019025 (TPMI_362.6_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Peripheral retinal degenerations | retinal degeneration | 1,011,772 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019025/ScoringFiles/PGS019025.txt.gz | |
| PGS019026 (TPMI_362.26_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Macular puckering of retina | degeneration of macula and posterior pole | 5,750 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019026/ScoringFiles/PGS019026.txt.gz | |
| PGS019027 (TPMI_362.26_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Macular puckering of retina | degeneration of macula and posterior pole | 337,189 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019027/ScoringFiles/PGS019027.txt.gz | |
| PGS019028 (TPMI_362.26_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Macular puckering of retina | degeneration of macula and posterior pole | 15,945 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019028/ScoringFiles/PGS019028.txt.gz | |
| PGS019029 (TPMI_362.26_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Macular puckering of retina | degeneration of macula and posterior pole | 983,768 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019029/ScoringFiles/PGS019029.txt.gz | |
| PGS019030 (TPMI_362.26_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Macular puckering of retina | degeneration of macula and posterior pole | 1,009,853 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019030/ScoringFiles/PGS019030.txt.gz | |
| PGS019031 (TPMI_362.29_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Macular degeneration senile of retina NOS | macular degeneration | 222 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019031/ScoringFiles/PGS019031.txt.gz | |
| PGS019032 (TPMI_362.29_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Macular degeneration senile of retina NOS | macular degeneration | 939,874 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019032/ScoringFiles/PGS019032.txt.gz | |
| PGS019033 (TPMI_362.29_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Macular degeneration senile of retina NOS | macular degeneration | 21,742 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019033/ScoringFiles/PGS019033.txt.gz | |
| PGS019034 (TPMI_362.29_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Macular degeneration senile of retina NOS | macular degeneration | 983,811 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019034/ScoringFiles/PGS019034.txt.gz | |
| PGS019035 (TPMI_362.29_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Macular degeneration senile of retina NOS | macular degeneration | 1,000,676 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019035/ScoringFiles/PGS019035.txt.gz | |
| PGS019036 (TPMI_365_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Glaucoma | glaucoma | 126,770 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019036/ScoringFiles/PGS019036.txt.gz | |
| PGS019037 (TPMI_365_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Glaucoma | glaucoma | 939,871 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019037/ScoringFiles/PGS019037.txt.gz | |
| PGS019038 (TPMI_365_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Glaucoma | glaucoma | 480,022 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019038/ScoringFiles/PGS019038.txt.gz | |
| PGS019039 (TPMI_365_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Glaucoma | glaucoma | 983,814 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019039/ScoringFiles/PGS019039.txt.gz | |
| PGS019040 (TPMI_365_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Glaucoma | glaucoma | 976,353 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019040/ScoringFiles/PGS019040.txt.gz | |
| PGS019041 (TPMI_365.1_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Open angle glaucoma | open-angle glaucoma | 127,770 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019041/ScoringFiles/PGS019041.txt.gz | |
| PGS019042 (TPMI_365.1_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Open angle glaucoma | open-angle glaucoma | 939,805 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019042/ScoringFiles/PGS019042.txt.gz | |
| PGS019043 (TPMI_365.1_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Open angle glaucoma | open-angle glaucoma | 28,958 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019043/ScoringFiles/PGS019043.txt.gz | |
| PGS019044 (TPMI_365.1_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Open angle glaucoma | open-angle glaucoma | 983,768 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019044/ScoringFiles/PGS019044.txt.gz | |
| PGS019045 (TPMI_365.1_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Open angle glaucoma | open-angle glaucoma | 1,001,197 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019045/ScoringFiles/PGS019045.txt.gz | |
| PGS019046 (TPMI_366_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Cataract | cataract | 408,872 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019046/ScoringFiles/PGS019046.txt.gz | |
| PGS019047 (TPMI_366_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Cataract | cataract | 939,893 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019047/ScoringFiles/PGS019047.txt.gz | |
| PGS019048 (TPMI_366_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Cataract | cataract | 34,086 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019048/ScoringFiles/PGS019048.txt.gz | |
| PGS019049 (TPMI_366_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Cataract | cataract | 983,827 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019049/ScoringFiles/PGS019049.txt.gz | |
| PGS019050 (TPMI_366_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Cataract | cataract | 918,007 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019050/ScoringFiles/PGS019050.txt.gz | |
| PGS019056 (TPMI_370_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Keratitis | keratitis | 130,226 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019056/ScoringFiles/PGS019056.txt.gz | |
| PGS019057 (TPMI_370_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Keratitis | keratitis | 256,197 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019057/ScoringFiles/PGS019057.txt.gz | |
| PGS019058 (TPMI_370_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Keratitis | keratitis | 20,519 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019058/ScoringFiles/PGS019058.txt.gz | |
| PGS019059 (TPMI_370_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Keratitis | keratitis | 983,798 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019059/ScoringFiles/PGS019059.txt.gz | |
| PGS019060 (TPMI_370_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Keratitis | keratitis | 983,726 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019060/ScoringFiles/PGS019060.txt.gz | |
| PGS019061 (TPMI_371.1_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Uveitis noninfectious or NOS | uveitis | 20 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019061/ScoringFiles/PGS019061.txt.gz | |
| PGS019062 (TPMI_371.1_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Uveitis noninfectious or NOS | uveitis | 939,787 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019062/ScoringFiles/PGS019062.txt.gz | |
| PGS019063 (TPMI_371.1_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Uveitis noninfectious or NOS | uveitis | 323,165 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019063/ScoringFiles/PGS019063.txt.gz | |
| PGS019064 (TPMI_371.1_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Uveitis noninfectious or NOS | uveitis | 983,753 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019064/ScoringFiles/PGS019064.txt.gz | |
| PGS019065 (TPMI_371.1_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Uveitis noninfectious or NOS | uveitis | 21,630 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019065/ScoringFiles/PGS019065.txt.gz | |
| PGS019066 (TPMI_379_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Other disorders of eye | eye disorder | 13 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019066/ScoringFiles/PGS019066.txt.gz | |
| PGS019067 (TPMI_379_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Other disorders of eye | eye disorder | 295,490 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019067/ScoringFiles/PGS019067.txt.gz | |
| PGS019068 (TPMI_379_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Other disorders of eye | eye disorder | 456,488 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019068/ScoringFiles/PGS019068.txt.gz | |
| PGS019069 (TPMI_379_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Other disorders of eye | eye disorder | 983,810 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019069/ScoringFiles/PGS019069.txt.gz | |
| PGS019070 (TPMI_379_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Other disorders of eye | eye disorder | 940,540 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019070/ScoringFiles/PGS019070.txt.gz | |
| PGS019071 (TPMI_379.5_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Disorders of iris and ciliary body | eye disorder | 716 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019071/ScoringFiles/PGS019071.txt.gz | |
| PGS019072 (TPMI_379.5_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Disorders of iris and ciliary body | eye disorder | 939,798 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019072/ScoringFiles/PGS019072.txt.gz | |
| PGS019073 (TPMI_379.5_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Disorders of iris and ciliary body | eye disorder | 438,548 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019073/ScoringFiles/PGS019073.txt.gz | |
| PGS019074 (TPMI_379.5_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Disorders of iris and ciliary body | eye disorder | 983,752 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019074/ScoringFiles/PGS019074.txt.gz | |
| PGS019075 (TPMI_379.5_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Disorders of iris and ciliary body | eye disorder | 16,468 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019075/ScoringFiles/PGS019075.txt.gz | |
| PGS019645 (TPMI_709.2_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Sicca syndrome | Sjogren syndrome | 1,224 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019645/ScoringFiles/PGS019645.txt.gz | |
| PGS019646 (TPMI_709.2_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Sicca syndrome | Sjogren syndrome | 939,810 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019646/ScoringFiles/PGS019646.txt.gz | |
| PGS019647 (TPMI_709.2_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Sicca syndrome | Sjogren syndrome | 49,185 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019647/ScoringFiles/PGS019647.txt.gz | |
| PGS019648 (TPMI_709.2_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Sicca syndrome | Sjogren syndrome | 983,765 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019648/ScoringFiles/PGS019648.txt.gz | |
| PGS019649 (TPMI_709.2_PRSmix+) |
PGP000835 | Chen HH et al. Nature (2025) |
Sicca syndrome | Sjogren syndrome | 1,071,405 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019649/ScoringFiles/PGS019649.txt.gz | |
| PGS019650 (TPMI_709.2_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Sicca syndrome | Sjogren syndrome | 202,225 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019650/ScoringFiles/PGS019650.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 |
|---|---|---|---|---|---|---|---|---|---|
| PPM000422 | PGS000137 (MTAG_glaucoma) |
PSS000245| European Ancestry| 1,795 individuals |
PGP000066 | Craig JE et al. Nat Genet (2020) |
Reported Trait: Primary open-angle glaucoma (POAG) | — | AUROC: 0.8 | — | age, sex, self-reported family history | — |
| PPM000426 | PGS000137 (MTAG_glaucoma) |
PSS000249| South Asian Ancestry| 7,033 individuals |
PGP000066 | Craig JE et al. Nat Genet (2020) |
Reported Trait: Glaucoma | — | AUROC: 0.76 [0.73, 0.79] | — | age, sex | Model 3 |
| PPM000424 | PGS000137 (MTAG_glaucoma) |
PSS000248| European Ancestry| 3,112 individuals |
PGP000066 | Craig JE et al. Nat Genet (2020) |
Reported Trait: Glaucoma | — | AUROC: 0.75 [0.73, 0.76] | — | age, sex | Model 3 |
| PPM000429 | PGS000137 (MTAG_glaucoma) |
PSS000247| European Ancestry| 3,112 individuals |
PGP000066 | Craig JE et al. Nat Genet (2020) |
Reported Trait: Primary open-angle glaucoma (POAG) | — | AUROC: 0.76 [0.72, 0.81] | — | age, sex | Model 3 |
| PPM000425 | PGS000137 (MTAG_glaucoma) |
PSS000249| South Asian Ancestry| 7,033 individuals |
PGP000066 | Craig JE et al. Nat Genet (2020) |
Reported Trait: Glaucoma | — | AUROC: 0.64 [0.59, 0.68] | — | — | Model 1 |
| PPM000423 | PGS000137 (MTAG_glaucoma) |
PSS000248| European Ancestry| 3,112 individuals |
PGP000066 | Craig JE et al. Nat Genet (2020) |
Reported Trait: Glaucoma | — | AUROC: 0.66 [0.64, 0.68] | — | — | Model 1 |
| PPM000428 | PGS000137 (MTAG_glaucoma) |
PSS000247| European Ancestry| 3,112 individuals |
PGP000066 | Craig JE et al. Nat Genet (2020) |
Reported Trait: Primary open-angle glaucoma (POAG) | — | AUROC: 0.67 [0.63, 0.72] | — | — | Model 1 |
| PPM000427 | PGS000137 (MTAG_glaucoma) |
PSS000246| European Ancestry| 965 individuals |
PGP000066 | Craig JE et al. Nat Genet (2020) |
Reported Trait: Glaucoma in MYOC p.Gln368Ter carriers | — | — | HR (Hazard Ratio; highest vs. lowest tertile of PRS): 3.4 [1.7, 6.6] | sex, PCs 1-6 | — |
| PPM000421 | PGS000137 (MTAG_glaucoma) |
PSS000245| European Ancestry| 1,795 individuals |
PGP000066 | Craig JE et al. Nat Genet (2020) |
Reported Trait: Primary open-angle glaucoma (POAG) | — | AUROC: 0.71 [0.66, 0.77] | — | — | — |
| PPM016165 | PGS000137 (MTAG_glaucoma) |
PSS010053| European Ancestry| 1,103 individuals |
PGP000403 | Siggs OM et al. JAMA Ophthalmol (2022) |Ext. |
Reported Trait: Visual field worsening | — | — | Hazard ratio (HR, top 5% vs bottom 95%): 1.5 [1.13, 1.97] Hazard ratio (HR, bottom 20% vs intermediate risk): 0.52 [0.28, 0.96] |
— | — |
| PPM020780 | PGS000137 (MTAG_glaucoma) |
PSS011408| European Ancestry| 903 individuals |
PGP000588 | Marshall HN et al. Ophthalmol Glaucoma (2022) |Ext. |
Reported Trait: Age at first trabeculectomy in individuals with primary open-angle glaucoma | β: -1.94 [-3.47, -0.41] | — | — | Sex, family history of glaucoma | — |
| PPM020781 | PGS000137 (MTAG_glaucoma) |
PSS011408| European Ancestry| 903 individuals |
PGP000588 | Marshall HN et al. Ophthalmol Glaucoma (2022) |Ext. |
Reported Trait: Requirement for bilateral trabeculectomy in individuals with primary open-angle glaucoma | — | — | Odds ratio (OR, top vs bottom PRS decile): 1.41 [1.06, 1.91] | — | — |
| PPM022190 | PGS000137 (MTAG_glaucoma) |
PSS011837| Multi-ancestry (including European)| 455 individuals |
PGP000688 | Saks DG et al. Acta Ophthalmol (2023) |Ext. |
Reported Trait: Vascular wedge presence in individuals with glaucoma | — | — | p: 0.007 | Age, sex, optic disc haemorrhage | — |
| PPM022191 | PGS000137 (MTAG_glaucoma) |
PSS011837| Multi-ancestry (including European)| 455 individuals |
PGP000688 | Saks DG et al. Acta Ophthalmol (2023) |Ext. |
Reported Trait: Retinal nerve fibre layer wedge presence in individuals with glaucoma | — | — | p: 0.07 | Age, sex, optic disc haemorrhage | — |
| PPM030737 | PGS000137 (MTAG_glaucoma) |
PSS012272| Multi-ancestry (including European)| 25,394 individuals |
PGP000815 | Grant A et al. Heliyon (2024) |Ext. |
Reported Trait: IOP | β: 0.81 [0.74, 0.87] | — | — | age, sex, education, income, smoking, alcohol intake, BMI, diabetes, high blood pressure, eye care utilization, and province | — |
| PPM030738 | PGS000137 (MTAG_glaucoma) |
PSS012272| Multi-ancestry (including European)| 25,394 individuals |
PGP000815 | Grant A et al. Heliyon (2024) |Ext. |
Reported Trait: glaucoma | OR: 1.56 [1.42, 1.71] | — | — | age, sex, education, income, smoking, alcohol intake, BMI, diabetes, high blood pressure, and province | — |
| PPM000998 | PGS000350 (GRS12_POAG) |
PSS000513| European Ancestry| 2,947 individuals |
PGP000115 | Fan BJ et al. JAMA Ophthalmol (2019) |
Reported Trait: Primary open-angle glaucoma age at diagnosis | β: -0.36 [-0.56, -0.16] | — | — | sex, DNA source, population structure | — |
| PPM000997 | PGS000350 (GRS12_POAG) |
PSS000512| European Ancestry| 6,538 individuals |
PGP000115 | Fan BJ et al. JAMA Ophthalmol (2019) |
Reported Trait: Primary open-angle glaucoma | OR: 1.24 [1.21, 1.27] | — | — | sex, DNA source, population structure | — |
| PPM001302 | PGS000617 (PRSWEB_PHECODE190_20001-1030_PRS-CS_MGI_20200608) |
PSS000556| European Ancestry| 672 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Cancer of eye | OR: 1.339 [1.033, 1.736] β: 0.292 (0.132) |
AUROC: 0.586 [0.508, 0.658] | Nagelkerke's Pseudo-R²: 0.0152 Brier score: 0.0831 Odds Ratio (OR, top 1% vs. Rest): 4.74 [1.2, 18.7] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE190_20001-1030_PRS-CS_MGI_20200608 |
| PPM001956 | PGS000764 (PRS23_POAG) |
PSS000977| Multi-ancestry (excluding European)| 3,830 individuals |
PGP000169 | Cole BS et al. Invest Ophthalmol Vis Sci (2021) |
Reported Trait: Primary-open angle glaucoma | — | — | Odds Ratio (OR per 1 point increase): 1.08 [1.06, 1.11] | Age, ancestry (q0), gender | — |
| PPM001957 | PGS000764 (PRS23_POAG) |
PSS000978| Multi-ancestry (excluding European)| 2,135 individuals |
PGP000169 | Cole BS et al. Invest Ophthalmol Vis Sci (2021) |
Reported Trait: Primary-open angle glaucoma | — | — | Odds Ratio (OR per 1 point increase): 1.08 [1.05, 1.12] | Age, ancestry (q0), gender | — |
| PPM002190 | PGS000819 (PRS_DR) |
PSS001067| Multi-ancestry (including European)| 6,079 individuals |
PGP000203 | Forrest IS et al. Hum Mol Genet (2021) |
Reported Trait: Retinal hemorrhage in inidividuals with type 2 diabetes | OR: 1.44 [1.03, 2.02] | — | — | — | — |
| PPM002185 | PGS000819 (PRS_DR) |
PSS001067| Multi-ancestry (including European)| 6,079 individuals |
PGP000203 | Forrest IS et al. Hum Mol Genet (2021) |
Reported Trait: Diabetic retinopathy in individuals with type 2 diabetes | OR: 1.12 [1.04, 1.2] | — | — | — | — |
| PPM002186 | PGS000819 (PRS_DR) |
PSS001066| European Ancestry| 978 individuals |
PGP000203 | Forrest IS et al. Hum Mol Genet (2021) |
Reported Trait: Diabetic retinopathy in individuals with type 2 diabetes | OR: 1.22 [1.02, 1.41] | — | — | — | — |
| PPM002187 | PGS000819 (PRS_DR) |
PSS001065| African Ancestry| 1,925 individuals |
PGP000203 | Forrest IS et al. Hum Mol Genet (2021) |
Reported Trait: Diabetic retinopathy in individuals with type 2 diabetes | OR: 1.15 [1.03, 1.28] | — | — | — | — |
| PPM002188 | PGS000819 (PRS_DR) |
PSS001067| Multi-ancestry (including European)| 6,079 individuals |
PGP000203 | Forrest IS et al. Hum Mol Genet (2021) |
Reported Trait: Diabetic retinopathy in individuals with type 2 diabetes | — | — | Odds Ratio (OR, top 10% vs bottom 10%): 1.8 [1.28, 2.55] | Age, sex, body mass index, PCs(1-20), history of hypertension, glucose levels | — |
| PPM002189 | PGS000819 (PRS_DR) |
PSS001067| Multi-ancestry (including European)| 6,079 individuals |
PGP000203 | Forrest IS et al. Hum Mol Genet (2021) |
Reported Trait: Diabetic retinopathy in individuals with type 2 diabetes | OR: 1.14 [1.05, 1.23] | — | — | PCs(1-20), type 2 diabetes duration, type 2 diabetes medication, hyperglycemia, elevated HbA1c, hypertension, hypercholesterolemia, hyperlipidemia, insomina, sleep apnea, age, sex, body mass index | — |
| PPM002191 | PGS000819 (PRS_DR) |
PSS001067| Multi-ancestry (including European)| 6,079 individuals |
PGP000203 | Forrest IS et al. Hum Mol Genet (2021) |
Reported Trait: Diplopia in individuals with type 2 diabetes | OR: 1.31 [1.02, 1.7] | — | — | — | — |
| PPM002192 | PGS000819 (PRS_DR) |
PSS001067| Multi-ancestry (including European)| 6,079 individuals |
PGP000203 | Forrest IS et al. Hum Mol Genet (2021) |
Reported Trait: Time to diabetic retinopathy diagnosis in individuals with type 2 diabetes | HR: 1.13 [1.05, 1.21] | — | — | Age, sex, body mass index, PCs(1-20), history of hypertension, glucose levels | — |
| PPM002393 | PGS000862 (DR) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 0.98 [0.89, 1.08] | — | — | PC1-10 | — |
| PPM002395 | PGS000862 (DR) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.09 [1.02, 1.17] | — | — | PC1-10 | — |
| PPM002397 | PGS000862 (DR) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.01 [0.96, 1.07] | — | — | PC1-10 | — |
| PPM002394 | PGS000862 (DR) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.03 [0.96, 1.1] | — | — | PC1-10 | — |
| PPM002396 | PGS000862 (DR) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.09 [1.02, 1.17] | — | — | PC1-10 | — |
| PPM007654 | PGS000966 (GBE_HC26) |
PSS004399| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Iritis | — | AUROC: 0.92131 [0.81365, 1.0] | R²: 0.11296 Incremental AUROC (full-covars): 0.00359 PGS R2 (no covariates): 0.14006 PGS AUROC (no covariates): 0.66325 [0.33513, 0.99137] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007655 | PGS000966 (GBE_HC26) |
PSS004400| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Iritis | — | AUROC: 0.79843 [0.66002, 0.93684] | R²: 0.10294 Incremental AUROC (full-covars): 0.06447 PGS R2 (no covariates): 0.09763 PGS AUROC (no covariates): 0.75287 [0.61793, 0.88781] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007656 | PGS000966 (GBE_HC26) |
PSS004401| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Iritis | — | AUROC: 0.961 [0.92628, 0.99572] | R²: 0.2291 Incremental AUROC (full-covars): -0.00048 PGS R2 (no covariates): 0.00222 PGS AUROC (no covariates): 0.49061 [0.48911, 0.49211] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007657 | PGS000966 (GBE_HC26) |
PSS004402| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Iritis | — | AUROC: 0.77646 [0.69039, 0.86254] | R²: 0.08068 Incremental AUROC (full-covars): 0.22055 PGS R2 (no covariates): 0.10834 PGS AUROC (no covariates): 0.78582 [0.71071, 0.86092] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007718 | PGS000990 (GBE_HC878) |
PSS004682| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE retinal detachments and breaks | — | AUROC: 0.61927 [0.54935, 0.68918] | R²: 0.0247 Incremental AUROC (full-covars): -0.01882 PGS R2 (no covariates): 0.00198 PGS AUROC (no covariates): 0.46633 [0.38893, 0.54373] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007719 | PGS000990 (GBE_HC878) |
PSS004683| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE retinal detachments and breaks | — | AUROC: 0.75788 [0.63933, 0.87643] | R²: 0.10693 Incremental AUROC (full-covars): 0.0196 PGS R2 (no covariates): 0.01417 PGS AUROC (no covariates): 0.5954 [0.44975, 0.74105] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007720 | PGS000990 (GBE_HC878) |
PSS004684| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE retinal detachments and breaks | — | AUROC: 0.64308 [0.61279, 0.67337] | R²: 0.02565 Incremental AUROC (full-covars): 0.00606 PGS R2 (no covariates): 0.00213 PGS AUROC (no covariates): 0.54152 [0.50847, 0.57457] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007721 | PGS000990 (GBE_HC878) |
PSS004685| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE retinal detachments and breaks | — | AUROC: 0.71433 [0.66221, 0.76646] | R²: 0.05371 Incremental AUROC (full-covars): 0.0098 PGS R2 (no covariates): 0.00492 PGS AUROC (no covariates): 0.56225 [0.49739, 0.62711] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007722 | PGS000990 (GBE_HC878) |
PSS004686| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE retinal detachments and breaks | — | AUROC: 0.63532 [0.61784, 0.65279] | R²: 0.02226 Incremental AUROC (full-covars): 0.00479 PGS R2 (no covariates): 0.00207 PGS AUROC (no covariates): 0.53945 [0.52027, 0.55863] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007828 | PGS001013 (GBE_BIN_FC5006148) |
PSS003974| African Ancestry| 3,196 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Eye problems/disorders Macular degeneration | — | AUROC: 0.7052 [0.63504, 0.77537] | R²: 0.07369 Incremental AUROC (full-covars): -0.00271 PGS R2 (no covariates): 6e-05 PGS AUROC (no covariates): 0.50582 [0.43466, 0.57699] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007829 | PGS001013 (GBE_BIN_FC5006148) |
PSS003975| East Asian Ancestry| 711 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Eye problems/disorders Macular degeneration | — | AUROC: 0.90123 [0.8354, 0.96707] | R²: 0.32752 Incremental AUROC (full-covars): -0.00016 PGS R2 (no covariates): 0.01068 PGS AUROC (no covariates): 0.59339 [0.45683, 0.72996] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007830 | PGS001013 (GBE_BIN_FC5006148) |
PSS003976| European Ancestry| 9,755 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Eye problems/disorders Macular degeneration | — | AUROC: 0.72878 [0.69745, 0.76011] | R²: 0.07729 Incremental AUROC (full-covars): 0.00516 PGS R2 (no covariates): 0.00265 PGS AUROC (no covariates): 0.53845 [0.49847, 0.57843] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007831 | PGS001013 (GBE_BIN_FC5006148) |
PSS003977| South Asian Ancestry| 3,327 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Eye problems/disorders Macular degeneration | — | AUROC: 0.76624 [0.71098, 0.8215] | R²: 0.10324 Incremental AUROC (full-covars): -0.00396 PGS R2 (no covariates): 0.00053 PGS AUROC (no covariates): 0.47169 [0.39626, 0.54712] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007832 | PGS001013 (GBE_BIN_FC5006148) |
PSS003978| European Ancestry| 22,208 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Eye problems/disorders Macular degeneration | — | AUROC: 0.70257 [0.6826, 0.72253] | R²: 0.06704 Incremental AUROC (full-covars): 0.00573 PGS R2 (no covariates): 0.00599 PGS AUROC (no covariates): 0.55283 [0.52939, 0.57627] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007903 | PGS001028 (GBE_BIN_FC1006148) |
PSS003765| African Ancestry| 3,307 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Eye problems/disorders Diabetic eye disease | — | AUROC: 0.76275 [0.72796, 0.79755] | R²: 0.13906 Incremental AUROC (full-covars): 0.0014 PGS R2 (no covariates): 0.00197 PGS AUROC (no covariates): 0.53892 [0.49569, 0.58215] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007904 | PGS001028 (GBE_BIN_FC1006148) |
PSS003766| East Asian Ancestry| 706 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Eye problems/disorders Diabetic eye disease | — | AUROC: 0.83123 [0.71584, 0.94663] | R²: 0.24524 Incremental AUROC (full-covars): -0.00599 PGS R2 (no covariates): 0.0016 PGS AUROC (no covariates): 0.44953 [0.27083, 0.62822] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007905 | PGS001028 (GBE_BIN_FC1006148) |
PSS003767| European Ancestry| 9,719 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Eye problems/disorders Diabetic eye disease | — | AUROC: 0.69201 [0.65353, 0.73049] | R²: 0.05584 Incremental AUROC (full-covars): 0.01974 PGS R2 (no covariates): 0.01281 PGS AUROC (no covariates): 0.5903 [0.54859, 0.632] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007906 | PGS001028 (GBE_BIN_FC1006148) |
PSS003768| South Asian Ancestry| 3,533 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Eye problems/disorders Diabetic eye disease | — | AUROC: 0.7302 [0.69952, 0.76088] | Incremental AUROC (full-covars): 0.002 R²: 0.11745 PGS R2 (no covariates): 0.00272 PGS AUROC (no covariates): 0.53803 [0.50292, 0.57313] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007907 | PGS001028 (GBE_BIN_FC1006148) |
PSS003769| European Ancestry| 22,053 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Eye problems/disorders Diabetic eye disease | — | AUROC: 0.69853 [0.67583, 0.72122] | R²: 0.05279 Incremental AUROC (full-covars): 0.01792 PGS R2 (no covariates): 0.00926 PGS AUROC (no covariates): 0.57814 [0.55078, 0.6055] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007908 | PGS001029 (GBE_HC866) |
PSS004662| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other disorders of cornea | — | AUROC: 0.71052 [0.62918, 0.79186] | R²: 0.05427 Incremental AUROC (full-covars): 0.0031 PGS R2 (no covariates): 0.00332 PGS AUROC (no covariates): 0.54756 [0.45415, 0.64098] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007909 | PGS001029 (GBE_HC866) |
PSS004663| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other disorders of cornea | — | AUROC: 0.48912 [0.0043, 0.97395] | R²: 0.00203 Incremental AUROC (full-covars): 0.0 PGS R2 (no covariates): 0.00633 PGS AUROC (no covariates): 0.40016 [0.0, 0.86755] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007910 | PGS001029 (GBE_HC866) |
PSS004664| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other disorders of cornea | — | AUROC: 0.63469 [0.57721, 0.69216] | PGS R2 (no covariates): 0.01229 R²: 0.01902 Incremental AUROC (full-covars): 0.04837 PGS AUROC (no covariates): 0.59818 [0.5417, 0.65467] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007911 | PGS001029 (GBE_HC866) |
PSS004665| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other disorders of cornea | — | AUROC: 0.62122 [0.5586, 0.68385] | R²: 0.02027 Incremental AUROC (full-covars): -0.01924 PGS R2 (no covariates): 0.00532 PGS AUROC (no covariates): 0.44761 [0.382, 0.51322] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007912 | PGS001029 (GBE_HC866) |
PSS004666| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other disorders of cornea | — | AUROC: 0.60075 [0.56985, 0.63165] | R²: 0.01227 Incremental AUROC (full-covars): 0.02429 PGS R2 (no covariates): 0.00807 PGS AUROC (no covariates): 0.58115 [0.55051, 0.61178] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008412 | PGS001137 (GBE_HC302) |
PSS004418| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Retinal detachment | — | AUROC: 0.65217 [0.57926, 0.72508] | R²: 0.03407 Incremental AUROC (full-covars): -0.00918 PGS R2 (no covariates): 1e-05 PGS AUROC (no covariates): 0.49921 [0.41839, 0.58004] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008413 | PGS001137 (GBE_HC302) |
PSS004419| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Retinal detachment | — | AUROC: 0.7872 [0.68424, 0.89016] | R²: 0.13209 Incremental AUROC (full-covars): 0.01471 PGS R2 (no covariates): 0.00931 PGS AUROC (no covariates): 0.57064 [0.39309, 0.74819] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008414 | PGS001137 (GBE_HC302) |
PSS004420| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Retinal detachment | — | AUROC: 0.65311 [0.62153, 0.68468] | R²: 0.02791 Incremental AUROC (full-covars): 0.01854 PGS R2 (no covariates): 0.00663 PGS AUROC (no covariates): 0.57317 [0.53771, 0.60862] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008415 | PGS001137 (GBE_HC302) |
PSS004421| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Retinal detachment | — | AUROC: 0.73537 [0.67789, 0.79285] | R²: 0.0635 Incremental AUROC (full-covars): 0.01358 PGS R2 (no covariates): 0.00738 PGS AUROC (no covariates): 0.55915 [0.48569, 0.63261] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008416 | PGS001137 (GBE_HC302) |
PSS004422| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Retinal detachment | — | AUROC: 0.63847 [0.61945, 0.65749] | R²: 0.02286 Incremental AUROC (full-covars): 0.00912 PGS R2 (no covariates): 0.00357 PGS AUROC (no covariates): 0.55079 [0.52979, 0.57179] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008873 | PGS001275 (GBE_HC880) |
PSS004687| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other retinal disorders | — | AUROC: 0.70701 [0.6592, 0.75482] | R²: 0.06654 Incremental AUROC (full-covars): -0.00077 PGS R2 (no covariates): 0.00011 PGS AUROC (no covariates): 0.50886 [0.45807, 0.55965] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008874 | PGS001275 (GBE_HC880) |
PSS004688| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other retinal disorders | — | AUROC: 0.76408 [0.70187, 0.8263] | R²: 0.11034 Incremental AUROC (full-covars): 0.00238 PGS R2 (no covariates): 0.00124 PGS AUROC (no covariates): 0.54196 [0.45417, 0.62976] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008875 | PGS001275 (GBE_HC880) |
PSS004689| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other retinal disorders | — | AUROC: 0.68838 [0.66508, 0.71167] | R²: 0.04946 Incremental AUROC (full-covars): 0.00295 PGS R2 (no covariates): 0.00217 PGS AUROC (no covariates): 0.53609 [0.50994, 0.56223] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008876 | PGS001275 (GBE_HC880) |
PSS004690| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other retinal disorders | — | AUROC: 0.73994 [0.71282, 0.76707] | R²: 0.09449 Incremental AUROC (full-covars): 0.00101 PGS R2 (no covariates): 0.00053 PGS AUROC (no covariates): 0.51345 [0.47882, 0.54808] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008877 | PGS001275 (GBE_HC880) |
PSS004691| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other retinal disorders | — | AUROC: 0.67575 [0.6628, 0.6887] | R²: 0.04416 Incremental AUROC (full-covars): 0.00229 PGS R2 (no covariates): 0.00203 PGS AUROC (no covariates): 0.53038 [0.51532, 0.54545] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008878 | PGS001276 (GBE_HC881) |
PSS004692| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE retinal disorders in diseases classified elsewhere | — | AUROC: 0.69535 [0.65164, 0.73906] | R²: 0.04898 Incremental AUROC (full-covars): -0.01537 PGS R2 (no covariates): 0.00048 PGS AUROC (no covariates): 0.47863 [0.42888, 0.52839] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008879 | PGS001276 (GBE_HC881) |
PSS004693| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE retinal disorders in diseases classified elsewhere | — | AUROC: 0.78112 [0.63575, 0.92649] | R²: 0.09795 Incremental AUROC (full-covars): -0.03107 PGS R2 (no covariates): 0.00124 PGS AUROC (no covariates): 0.45159 [0.20305, 0.70013] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008880 | PGS001276 (GBE_HC881) |
PSS004694| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE retinal disorders in diseases classified elsewhere | — | AUROC: 0.70588 [0.66187, 0.7499] | R²: 0.04864 Incremental AUROC (full-covars): 0.02939 PGS R2 (no covariates): 0.01461 PGS AUROC (no covariates): 0.60872 [0.55828, 0.65917] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008881 | PGS001276 (GBE_HC881) |
PSS004695| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE retinal disorders in diseases classified elsewhere | — | AUROC: 0.73414 [0.70226, 0.76602] | R²: 0.08369 Incremental AUROC (full-covars): -7e-05 PGS R2 (no covariates): 0.00183 PGS AUROC (no covariates): 0.53682 [0.49711, 0.57653] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008882 | PGS001276 (GBE_HC881) |
PSS004696| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE retinal disorders in diseases classified elsewhere | — | AUROC: 0.67399 [0.64743, 0.70056] | R²: 0.03213 Incremental AUROC (full-covars): 0.02207 PGS R2 (no covariates): 0.00817 PGS AUROC (no covariates): 0.57664 [0.54625, 0.60704] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009005 | PGS001302 (GBE_HC25) |
PSS004379| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Cataract | — | AUROC: 0.81842 [0.80148, 0.83536] | R²: 0.25176 Incremental AUROC (full-covars): -0.00057 PGS R2 (no covariates): 0.00041 PGS AUROC (no covariates): 0.51203 [0.48858, 0.53548] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009006 | PGS001302 (GBE_HC25) |
PSS004380| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Cataract | — | AUROC: 0.81531 [0.78353, 0.84709] | R²: 0.22081 Incremental AUROC (full-covars): 0.00025 PGS R2 (no covariates): 0.00037 PGS AUROC (no covariates): 0.48894 [0.43818, 0.53971] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009007 | PGS001302 (GBE_HC25) |
PSS004381| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Cataract | — | AUROC: 0.76448 [0.75374, 0.77523] | R²: 0.14636 Incremental AUROC (full-covars): 0.00517 PGS R2 (no covariates): 0.00768 PGS AUROC (no covariates): 0.56031 [0.5466, 0.57402] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009008 | PGS001302 (GBE_HC25) |
PSS004382| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Cataract | — | AUROC: 0.81674 [0.80411, 0.82937] | R²: 0.28207 Incremental AUROC (full-covars): 0.0031 PGS R2 (no covariates): 0.00627 PGS AUROC (no covariates): 0.54731 [0.52945, 0.56518] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009009 | PGS001302 (GBE_HC25) |
PSS004383| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Cataract | — | AUROC: 0.73692 [0.73039, 0.74345] | R²: 0.12068 Incremental AUROC (full-covars): 0.00566 PGS R2 (no covariates): 0.00657 PGS AUROC (no covariates): 0.55468 [0.5465, 0.56286] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM018448 | PGS001302 (GBE_HC25) |
PSS010980| European Ancestry| 4,797 individuals |
PGP000467 | Farré X et al. Genes (Basel) (2023) |Ext. |
Reported Trait: Eye colour | β: 0.11584 | — | R²: 0.01115 | — | — |
| PPM018449 | PGS001302 (GBE_HC25) |
PSS010980| European Ancestry| 4,797 individuals |
PGP000467 | Farré X et al. Genes (Basel) (2023) |Ext. |
Reported Trait: Sunscreen in exterior | β: -0.03314 | — | R²: 0.0383 | — | — |
| PPM018450 | PGS001302 (GBE_HC25) |
PSS010980| European Ancestry| 4,797 individuals |
PGP000467 | Farré X et al. Genes (Basel) (2023) |Ext. |
Reported Trait: Phototype score | β: 0.70812 | — | R²: 0.03441 | — | — |
| PPM018451 | PGS001302 (GBE_HC25) |
PSS010980| European Ancestry| 4,797 individuals |
PGP000467 | Farré X et al. Genes (Basel) (2023) |Ext. |
Reported Trait: Fitzpatrick scale | β: 0.04334 | — | R²: 0.03185 | — | — |
| PPM009010 | PGS001303 (GBE_HC872) |
PSS004677| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other cataract | — | AUROC: 0.81396 [0.7961, 0.83182] | R²: 0.23163 Incremental AUROC (full-covars): 5e-05 PGS R2 (no covariates): 0.00013 PGS AUROC (no covariates): 0.50326 [0.47798, 0.52854] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009011 | PGS001303 (GBE_HC872) |
PSS004678| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other cataract | — | AUROC: 0.81597 [0.77997, 0.85198] | R²: 0.21513 Incremental AUROC (full-covars): 0.00031 PGS R2 (no covariates): 0.00012 PGS AUROC (no covariates): 0.50879 [0.45096, 0.56661] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009012 | PGS001303 (GBE_HC872) |
PSS004679| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other cataract | — | AUROC: 0.75268 [0.74071, 0.76465] | R²: 0.12486 Incremental AUROC (full-covars): 0.00345 PGS R2 (no covariates): 0.00455 PGS AUROC (no covariates): 0.5485 [0.53327, 0.56373] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009013 | PGS001303 (GBE_HC872) |
PSS004680| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other cataract | — | AUROC: 0.79821 [0.78425, 0.81216] | R²: 0.23261 Incremental AUROC (full-covars): 0.00152 PGS R2 (no covariates): 0.00238 PGS AUROC (no covariates): 0.52897 [0.51011, 0.54783] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009014 | PGS001303 (GBE_HC872) |
PSS004681| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other cataract | — | AUROC: 0.72387 [0.71653, 0.73121] | R²: 0.09993 Incremental AUROC (full-covars): 0.00356 PGS R2 (no covariates): 0.0043 PGS AUROC (no covariates): 0.54593 [0.53685, 0.555] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009034 | PGS001308 (GBE_HC321) |
PSS004437| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Sjogren's syndrome/sicca syndrome | — | AUROC: 0.79846 [0.71474, 0.88218] | R²: 0.07345 Incremental AUROC (full-covars): 0.0079 PGS R2 (no covariates): 0.01471 PGS AUROC (no covariates): 0.59027 [0.45551, 0.72504] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009035 | PGS001308 (GBE_HC321) |
PSS004438| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Sjogren's syndrome/sicca syndrome | — | AUROC: 0.75824 [0.55089, 0.96558] | R²: 0.05686 Incremental AUROC (full-covars): 0.00691 PGS R2 (no covariates): 0.0091 PGS AUROC (no covariates): 0.69794 [0.63241, 0.76347] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009036 | PGS001308 (GBE_HC321) |
PSS004439| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Sjogren's syndrome/sicca syndrome | — | AUROC: 0.77174 [0.71988, 0.82361] | R²: 0.07435 Incremental AUROC (full-covars): 0.01461 PGS R2 (no covariates): 0.01453 PGS AUROC (no covariates): 0.65693 [0.58901, 0.72485] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009037 | PGS001308 (GBE_HC321) |
PSS004440| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Sjogren's syndrome/sicca syndrome | — | AUROC: 0.8014 [0.74455, 0.85826] | R²: 0.08893 Incremental AUROC (full-covars): 0.00953 PGS R2 (no covariates): 0.03189 PGS AUROC (no covariates): 0.61034 [0.48809, 0.73259] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009038 | PGS001308 (GBE_HC321) |
PSS004441| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Sjogren's syndrome/sicca syndrome | — | AUROC: 0.73313 [0.69647, 0.76978] | R²: 0.04771 Incremental AUROC (full-covars): 0.01551 PGS R2 (no covariates): 0.01074 PGS AUROC (no covariates): 0.60303 [0.55292, 0.65315] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009097 | PGS001321 (GBE_BIN_FC2006148) |
PSS003849| African Ancestry| 3,341 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Eye problems/disorders Glaucoma | — | AUROC: 0.75589 [0.72234, 0.78943] | R²: 0.13943 Incremental AUROC (full-covars): -0.01209 PGS R2 (no covariates): 1e-05 PGS AUROC (no covariates): 0.49958 [0.46126, 0.5379] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009098 | PGS001321 (GBE_BIN_FC2006148) |
PSS003850| East Asian Ancestry| 715 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Eye problems/disorders Glaucoma | — | AUROC: 0.71808 [0.61808, 0.81809] | R²: 0.09844 Incremental AUROC (full-covars): -0.01728 PGS R2 (no covariates): 0.00057 PGS AUROC (no covariates): 0.5191 [0.40156, 0.63664] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009099 | PGS001321 (GBE_BIN_FC2006148) |
PSS003851| European Ancestry| 9,888 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Eye problems/disorders Glaucoma | — | AUROC: 0.75377 [0.72896, 0.77858] | R²: 0.11288 Incremental AUROC (full-covars): 0.01096 PGS R2 (no covariates): 0.01038 PGS AUROC (no covariates): 0.57925 [0.54955, 0.60894] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009100 | PGS001321 (GBE_BIN_FC2006148) |
PSS003852| South Asian Ancestry| 3,441 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Eye problems/disorders Glaucoma | — | AUROC: 0.7617 [0.72794, 0.79547] | R²: 0.1335 Incremental AUROC (full-covars): 0.00638 PGS R2 (no covariates): 0.01082 PGS AUROC (no covariates): 0.57361 [0.5321, 0.61512] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009101 | PGS001321 (GBE_BIN_FC2006148) |
PSS003853| European Ancestry| 22,623 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Eye problems/disorders Glaucoma | — | AUROC: 0.72434 [0.70924, 0.73944] | R²: 0.09306 Incremental AUROC (full-covars): 0.02225 PGS R2 (no covariates): 0.0194 PGS AUROC (no covariates): 0.60001 [0.58198, 0.61804] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009102 | PGS001322 (GBE_HC276) |
PSS004408| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Glaucoma | — | AUROC: 0.73888 [0.70843, 0.76932] | R²: 0.0999 Incremental AUROC (full-covars): -0.00815 PGS R2 (no covariates): 0.00019 PGS AUROC (no covariates): 0.48469 [0.45088, 0.5185] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009103 | PGS001322 (GBE_HC276) |
PSS004409| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Glaucoma | — | AUROC: 0.70681 [0.61243, 0.80118] | R²: 0.05552 Incremental AUROC (full-covars): -0.01374 PGS R2 (no covariates): 0.00272 PGS AUROC (no covariates): 0.45399 [0.34399, 0.564] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009104 | PGS001322 (GBE_HC276) |
PSS004410| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Glaucoma | — | AUROC: 0.73317 [0.71252, 0.75382] | R²: 0.0763 Incremental AUROC (full-covars): 0.01834 PGS R2 (no covariates): 0.01238 PGS AUROC (no covariates): 0.59932 [0.57386, 0.62477] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009105 | PGS001322 (GBE_HC276) |
PSS004411| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Glaucoma | — | AUROC: 0.74918 [0.71835, 0.78] | R²: 0.09545 Incremental AUROC (full-covars): 0.01096 PGS R2 (no covariates): 0.01142 PGS AUROC (no covariates): 0.59951 [0.56169, 0.63734] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009106 | PGS001322 (GBE_HC276) |
PSS004412| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Glaucoma | — | AUROC: 0.7048 [0.69206, 0.71754] | R²: 0.0589 Incremental AUROC (full-covars): 0.02562 PGS R2 (no covariates): 0.015 PGS AUROC (no covariates): 0.60261 [0.58762, 0.6176] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009107 | PGS001323 (GBE_HC882) |
PSS004697| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE glaucoma | — | AUROC: 0.72181 [0.69233, 0.75129] | R²: 0.0918 Incremental AUROC (full-covars): -0.00164 PGS R2 (no covariates): 0.00184 PGS AUROC (no covariates): 0.53284 [0.50004, 0.56563] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009108 | PGS001323 (GBE_HC882) |
PSS004698| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE glaucoma | — | AUROC: 0.70826 [0.61816, 0.79836] | R²: 0.06483 Incremental AUROC (full-covars): 0.01999 PGS R2 (no covariates): 0.00405 PGS AUROC (no covariates): 0.54496 [0.43191, 0.65802] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009109 | PGS001323 (GBE_HC882) |
PSS004699| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE glaucoma | — | AUROC: 0.72679 [0.7079, 0.74569] | R²: 0.07732 Incremental AUROC (full-covars): 0.0269 PGS R2 (no covariates): 0.01761 PGS AUROC (no covariates): 0.60838 [0.58579, 0.63096] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009110 | PGS001323 (GBE_HC882) |
PSS004700| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE glaucoma | — | AUROC: 0.73399 [0.70517, 0.76282] | R²: 0.08727 Incremental AUROC (full-covars): 0.00993 PGS R2 (no covariates): 0.00928 PGS AUROC (no covariates): 0.57629 [0.54141, 0.61116] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009111 | PGS001323 (GBE_HC882) |
PSS004701| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE glaucoma | — | AUROC: 0.70422 [0.69334, 0.7151] | R²: 0.06469 Incremental AUROC (full-covars): 0.0364 PGS R2 (no covariates): 0.02201 PGS AUROC (no covariates): 0.61994 [0.60732, 0.63256] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009305 | PGS001792 (1kgeur_gbmi_leaveUKBBout_POAG_pst_eff_a1_b0.5_phiauto) |
PSS007704| Additional Asian Ancestries| 7,787 individuals |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Reported Trait: Primary open-angle glaucoma | — | AUROC: 0.856 | Nagelkerke's R2 (covariates regressed out): 0.02991 | sex,age,age2,age*sex,age^2*sex, 20PCs | — |
| PPM009296 | PGS001792 (1kgeur_gbmi_leaveUKBBout_POAG_pst_eff_a1_b0.5_phiauto) |
PSS007715| European Ancestry| 347,396 individuals |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Reported Trait: Primary open-angle glaucoma | — | AUROC: 0.777 | Nagelkerke's R2 (covariates regressed out): 0.03209 | sex,age,age2,age*sex,age^2*sex, 20PCs | — |
| PPM009313 | PGS001797 (1kgeur_gbmi_POAG_pst_eff_a1_b0.5_phiauto) |
PSS007695| European Ancestry| 7,128 individuals |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Reported Trait: Primary open-angle glaucoma | — | AUROC: 0.749 | Nagelkerke's R2 (covariates regressed out): 0.03148 | sex,age, 20PCs | — |
| PPM009452 | PGS001819 (portability-PLR_250.7) |
PSS009289| European Ancestry| 19,330 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diabetic retinopathy | — | — | Partial Correlation (partial-r): 0.0366 [0.0226, 0.0507] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009453 | PGS001819 (portability-PLR_250.7) |
PSS009063| European Ancestry| 4,032 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diabetic retinopathy | — | — | Partial Correlation (partial-r): 0.0638 [0.033, 0.0946] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009454 | PGS001819 (portability-PLR_250.7) |
PSS008617| European Ancestry| 6,465 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diabetic retinopathy | — | — | Partial Correlation (partial-r): 0.0315 [0.0071, 0.0559] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009455 | PGS001819 (portability-PLR_250.7) |
PSS008393| Greater Middle Eastern Ancestry| 1,162 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diabetic retinopathy | — | — | Partial Correlation (partial-r): -0.0471 [-0.1048, 0.011] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009456 | PGS001819 (portability-PLR_250.7) |
PSS008171| South Asian Ancestry| 6,081 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diabetic retinopathy | — | — | Partial Correlation (partial-r): 0.0325 [0.0074, 0.0577] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009457 | PGS001819 (portability-PLR_250.7) |
PSS007958| East Asian Ancestry| 1,764 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diabetic retinopathy | — | — | Partial Correlation (partial-r): -0.0249 [-0.0718, 0.022] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009459 | PGS001819 (portability-PLR_250.7) |
PSS008842| African Ancestry| 3,732 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diabetic retinopathy | — | — | Partial Correlation (partial-r): 0.0089 [-0.0233, 0.041] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009458 | PGS001819 (portability-PLR_250.7) |
PSS007739| African Ancestry| 2,385 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diabetic retinopathy | — | — | Partial Correlation (partial-r): -0.0193 [-0.0596, 0.021] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009556 | PGS001833 (portability-PLR_361) |
PSS009303| European Ancestry| 19,445 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Retinal detachments and defects | — | — | Partial Correlation (partial-r): 0.0218 [0.0078, 0.0359] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009557 | PGS001833 (portability-PLR_361) |
PSS009077| European Ancestry| 4,055 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Retinal detachments and defects | — | — | Partial Correlation (partial-r): 0.0304 | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009558 | PGS001833 (portability-PLR_361) |
PSS008631| European Ancestry| 6,514 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Retinal detachments and defects | — | — | Partial Correlation (partial-r): 0.0086 [-0.0157, 0.0329] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009559 | PGS001833 (portability-PLR_361) |
PSS008405| Greater Middle Eastern Ancestry| 1,169 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Retinal detachments and defects | — | — | Partial Correlation (partial-r): -0.0283 [-0.086, 0.0296] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009560 | PGS001833 (portability-PLR_361) |
PSS008185| South Asian Ancestry| 6,095 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Retinal detachments and defects | — | — | Partial Correlation (partial-r): 0.0155 [-0.0096, 0.0406] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009561 | PGS001833 (portability-PLR_361) |
PSS007969| East Asian Ancestry| 1,773 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Retinal detachments and defects | — | — | Partial Correlation (partial-r): 0.0326 [-0.0142, 0.0793] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009562 | PGS001833 (portability-PLR_361) |
PSS007751| African Ancestry| 2,384 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Retinal detachments and defects | — | — | Partial Correlation (partial-r): 0.0172 [-0.0231, 0.0575] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009563 | PGS001833 (portability-PLR_361) |
PSS008855| African Ancestry| 3,743 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Retinal detachments and defects | — | — | Partial Correlation (partial-r): 0.012 [-0.0201, 0.0441] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009565 | PGS001834 (portability-PLR_362.29) |
PSS009078| European Ancestry| 4,043 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Macular degeneration (senile) of retina NOS | — | — | Partial Correlation (partial-r): 0.0258 [-0.0051, 0.0567] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009566 | PGS001834 (portability-PLR_362.29) |
PSS008632| European Ancestry| 6,470 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Macular degeneration (senile) of retina NOS | — | — | Partial Correlation (partial-r): 0.0177 [-0.0067, 0.0421] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009567 | PGS001834 (portability-PLR_362.29) |
PSS008406| Greater Middle Eastern Ancestry| 1,165 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Macular degeneration (senile) of retina NOS | — | — | Partial Correlation (partial-r): -0.03 [-0.0877, 0.028] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009568 | PGS001834 (portability-PLR_362.29) |
PSS008186| South Asian Ancestry| 6,037 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Macular degeneration (senile) of retina NOS | — | — | Partial Correlation (partial-r): 0.0368 [0.0116, 0.062] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009569 | PGS001834 (portability-PLR_362.29) |
PSS007970| East Asian Ancestry| 1,775 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Macular degeneration (senile) of retina NOS | — | — | Partial Correlation (partial-r): -0.0304 [-0.0771, 0.0164] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009570 | PGS001834 (portability-PLR_362.29) |
PSS007752| African Ancestry| 2,374 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Macular degeneration (senile) of retina NOS | — | — | Partial Correlation (partial-r): 0.0015 [-0.0389, 0.0419] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009571 | PGS001834 (portability-PLR_362.29) |
PSS008856| African Ancestry| 3,723 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Macular degeneration (senile) of retina NOS | — | — | Partial Correlation (partial-r): 0.0144 [-0.0178, 0.0466] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009564 | PGS001834 (portability-PLR_362.29) |
PSS009304| European Ancestry| 19,413 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Macular degeneration (senile) of retina NOS | — | — | Partial Correlation (partial-r): 0.0175 [0.0034, 0.0315] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009572 | PGS001835 (portability-PLR_364.5) |
PSS009305| European Ancestry| 19,321 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Corneal dystrophy | — | — | Partial Correlation (partial-r): 0.0384 [0.0243, 0.0525] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009573 | PGS001835 (portability-PLR_364.5) |
PSS009079| European Ancestry| 4,029 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Corneal dystrophy | — | — | Partial Correlation (partial-r): 0.0753 [0.0445, 0.106] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009574 | PGS001835 (portability-PLR_364.5) |
PSS008633| European Ancestry| 6,462 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Corneal dystrophy | — | — | Partial Correlation (partial-r): 0.0488 [0.0245, 0.0732] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009575 | PGS001835 (portability-PLR_364.5) |
PSS008407| Greater Middle Eastern Ancestry| 1,162 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Corneal dystrophy | — | — | Partial Correlation (partial-r): 0.0128 [-0.0452, 0.0708] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009577 | PGS001835 (portability-PLR_364.5) |
PSS008857| African Ancestry| 3,718 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Corneal dystrophy | — | — | Partial Correlation (partial-r): -0.0168 [-0.049, 0.0155] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009576 | PGS001835 (portability-PLR_364.5) |
PSS008187| South Asian Ancestry| 6,052 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Corneal dystrophy | — | — | Partial Correlation (partial-r): -0.011 [-0.0362, 0.0143] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009578 | PGS001836 (portability-PLR_365) |
PSS009306| European Ancestry| 19,592 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glaucoma | — | — | Partial Correlation (partial-r): 0.0419 [0.0279, 0.0558] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009579 | PGS001836 (portability-PLR_365) |
PSS009080| European Ancestry| 4,066 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glaucoma | — | — | Partial Correlation (partial-r): 0.0404 [0.0096, 0.0711] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009580 | PGS001836 (portability-PLR_365) |
PSS008634| European Ancestry| 6,540 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glaucoma | — | — | Partial Correlation (partial-r): 0.0301 [0.0059, 0.0544] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009581 | PGS001836 (portability-PLR_365) |
PSS008408| Greater Middle Eastern Ancestry| 1,181 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glaucoma | — | — | Partial Correlation (partial-r): 0.0631 [0.0056, 0.1202] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009582 | PGS001836 (portability-PLR_365) |
PSS008188| South Asian Ancestry| 6,176 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glaucoma | — | — | Partial Correlation (partial-r): 0.0232 [-0.0018, 0.0481] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009583 | PGS001836 (portability-PLR_365) |
PSS007971| East Asian Ancestry| 1,783 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glaucoma | — | — | Partial Correlation (partial-r): 0.0002 [-0.0465, 0.0469] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009584 | PGS001836 (portability-PLR_365) |
PSS007753| African Ancestry| 2,447 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glaucoma | — | — | Partial Correlation (partial-r): 0.0282 [-0.0116, 0.0679] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009585 | PGS001836 (portability-PLR_365) |
PSS008858| African Ancestry| 3,854 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glaucoma | — | — | Partial Correlation (partial-r): 0.0257 [-0.0059, 0.0573] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009592 | PGS001837 (portability-PLR_366) |
PSS007754| African Ancestry| 2,484 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Cataract | — | — | Partial Correlation (partial-r): -0.0371 [-0.0765, 0.0023] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009587 | PGS001837 (portability-PLR_366) |
PSS009081| European Ancestry| 4,136 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Cataract | — | — | Partial Correlation (partial-r): 0.0813 [0.0508, 0.1115] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009588 | PGS001837 (portability-PLR_366) |
PSS008635| European Ancestry| 6,660 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Cataract | — | — | Partial Correlation (partial-r): 0.0642 [0.0402, 0.0881] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009589 | PGS001837 (portability-PLR_366) |
PSS008409| Greater Middle Eastern Ancestry| 1,200 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Cataract | — | — | Partial Correlation (partial-r): 0.0028 [-0.0543, 0.0598] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009590 | PGS001837 (portability-PLR_366) |
PSS008189| South Asian Ancestry| 6,331 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Cataract | — | — | Partial Correlation (partial-r): 0.078 [0.0534, 0.1025] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009591 | PGS001837 (portability-PLR_366) |
PSS007972| East Asian Ancestry| 1,810 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Cataract | — | — | Partial Correlation (partial-r): 0.0018 [-0.0445, 0.0482] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009593 | PGS001837 (portability-PLR_366) |
PSS008859| African Ancestry| 3,924 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Cataract | — | — | Partial Correlation (partial-r): 0.0161 [-0.0153, 0.0474] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009586 | PGS001837 (portability-PLR_366) |
PSS009307| European Ancestry| 20,000 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Cataract | — | — | Partial Correlation (partial-r): 0.0436 [0.0297, 0.0574] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011090 | PGS002027 (portability-ldpred2_250.7) |
PSS009289| European Ancestry| 19,330 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diabetic retinopathy | — | — | Partial Correlation (partial-r): 0.0451 [0.031, 0.0592] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011091 | PGS002027 (portability-ldpred2_250.7) |
PSS009063| European Ancestry| 4,032 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diabetic retinopathy | — | — | Partial Correlation (partial-r): 0.0607 [0.0298, 0.0915] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011092 | PGS002027 (portability-ldpred2_250.7) |
PSS008617| European Ancestry| 6,465 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diabetic retinopathy | — | — | Partial Correlation (partial-r): 0.0241 | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011093 | PGS002027 (portability-ldpred2_250.7) |
PSS008393| Greater Middle Eastern Ancestry| 1,162 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diabetic retinopathy | — | — | Partial Correlation (partial-r): -0.0311 [-0.0889, 0.027] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011094 | PGS002027 (portability-ldpred2_250.7) |
PSS008171| South Asian Ancestry| 6,081 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diabetic retinopathy | — | — | Partial Correlation (partial-r): 0.0351 [0.01, 0.0603] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011095 | PGS002027 (portability-ldpred2_250.7) |
PSS007958| East Asian Ancestry| 1,764 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diabetic retinopathy | — | — | Partial Correlation (partial-r): -0.0302 [-0.077, 0.0168] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011096 | PGS002027 (portability-ldpred2_250.7) |
PSS007739| African Ancestry| 2,385 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diabetic retinopathy | — | — | Partial Correlation (partial-r): -0.0204 [-0.0606, 0.0199] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011097 | PGS002027 (portability-ldpred2_250.7) |
PSS008842| African Ancestry| 3,732 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diabetic retinopathy | — | — | Partial Correlation (partial-r): 0.0062 [-0.0259, 0.0384] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011186 | PGS002040 (portability-ldpred2_361) |
PSS009303| European Ancestry| 19,445 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Retinal detachments and defects | — | — | Partial Correlation (partial-r): 0.0276 [0.0135, 0.0416] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011187 | PGS002040 (portability-ldpred2_361) |
PSS009077| European Ancestry| 4,055 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Retinal detachments and defects | — | — | Partial Correlation (partial-r): 0.0184 [-0.0125, 0.0492] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011188 | PGS002040 (portability-ldpred2_361) |
PSS008631| European Ancestry| 6,514 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Retinal detachments and defects | — | — | Partial Correlation (partial-r): 0.0125 [-0.0119, 0.0368] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011189 | PGS002040 (portability-ldpred2_361) |
PSS008405| Greater Middle Eastern Ancestry| 1,169 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Retinal detachments and defects | — | — | Partial Correlation (partial-r): -0.0028 [-0.0607, 0.055] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011190 | PGS002040 (portability-ldpred2_361) |
PSS008185| South Asian Ancestry| 6,095 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Retinal detachments and defects | — | — | Partial Correlation (partial-r): 0.0276 [0.0024, 0.0527] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011191 | PGS002040 (portability-ldpred2_361) |
PSS007969| East Asian Ancestry| 1,773 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Retinal detachments and defects | — | — | Partial Correlation (partial-r): 0.0368 [-0.0101, 0.0835] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011192 | PGS002040 (portability-ldpred2_361) |
PSS007751| African Ancestry| 2,384 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Retinal detachments and defects | — | — | Partial Correlation (partial-r): 0.0222 [-0.0181, 0.0625] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011193 | PGS002040 (portability-ldpred2_361) |
PSS008855| African Ancestry| 3,743 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Retinal detachments and defects | — | — | Partial Correlation (partial-r): 0.0024 [-0.0297, 0.0345] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011195 | PGS002041 (portability-ldpred2_362.29) |
PSS009078| European Ancestry| 4,043 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Macular degeneration (senile) of retina NOS | — | — | Partial Correlation (partial-r): 0.0248 [-0.0061, 0.0556] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011196 | PGS002041 (portability-ldpred2_362.29) |
PSS008632| European Ancestry| 6,470 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Macular degeneration (senile) of retina NOS | — | — | Partial Correlation (partial-r): 0.0179 [-0.0065, 0.0423] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011197 | PGS002041 (portability-ldpred2_362.29) |
PSS008406| Greater Middle Eastern Ancestry| 1,165 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Macular degeneration (senile) of retina NOS | — | — | Partial Correlation (partial-r): -0.0344 [-0.0921, 0.0236] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011198 | PGS002041 (portability-ldpred2_362.29) |
PSS008186| South Asian Ancestry| 6,037 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Macular degeneration (senile) of retina NOS | — | — | Partial Correlation (partial-r): 0.0372 [0.0119, 0.0624] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011199 | PGS002041 (portability-ldpred2_362.29) |
PSS007970| East Asian Ancestry| 1,775 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Macular degeneration (senile) of retina NOS | — | — | Partial Correlation (partial-r): -0.0312 [-0.0779, 0.0156] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011200 | PGS002041 (portability-ldpred2_362.29) |
PSS007752| African Ancestry| 2,374 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Macular degeneration (senile) of retina NOS | — | — | Partial Correlation (partial-r): 0.0038 [-0.0366, 0.0442] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011201 | PGS002041 (portability-ldpred2_362.29) |
PSS008856| African Ancestry| 3,723 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Macular degeneration (senile) of retina NOS | — | — | Partial Correlation (partial-r): 0.018 [-0.0143, 0.0501] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011194 | PGS002041 (portability-ldpred2_362.29) |
PSS009304| European Ancestry| 19,413 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Macular degeneration (senile) of retina NOS | — | — | Partial Correlation (partial-r): 0.0159 [0.0018, 0.0299] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011202 | PGS002042 (portability-ldpred2_364.5) |
PSS009305| European Ancestry| 19,321 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Corneal dystrophy | — | — | Partial Correlation (partial-r): 0.0471 [0.033, 0.0611] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011203 | PGS002042 (portability-ldpred2_364.5) |
PSS009079| European Ancestry| 4,029 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Corneal dystrophy | — | — | Partial Correlation (partial-r): 0.0812 [0.0504, 0.1119] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011204 | PGS002042 (portability-ldpred2_364.5) |
PSS008633| European Ancestry| 6,462 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Corneal dystrophy | — | — | Partial Correlation (partial-r): 0.0519 [0.0275, 0.0762] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011205 | PGS002042 (portability-ldpred2_364.5) |
PSS008407| Greater Middle Eastern Ancestry| 1,162 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Corneal dystrophy | — | — | Partial Correlation (partial-r): 0.0275 [-0.0306, 0.0853] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011206 | PGS002042 (portability-ldpred2_364.5) |
PSS008187| South Asian Ancestry| 6,052 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Corneal dystrophy | — | — | Partial Correlation (partial-r): -0.0133 [-0.0385, 0.0119] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011207 | PGS002042 (portability-ldpred2_364.5) |
PSS008857| African Ancestry| 3,718 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Corneal dystrophy | — | — | Partial Correlation (partial-r): -0.0084 [-0.0406, 0.0238] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011208 | PGS002043 (portability-ldpred2_365) |
PSS009306| European Ancestry| 19,592 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glaucoma | — | — | Partial Correlation (partial-r): 0.0458 [0.0318, 0.0598] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011209 | PGS002043 (portability-ldpred2_365) |
PSS009080| European Ancestry| 4,066 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glaucoma | — | — | Partial Correlation (partial-r): 0.0458 [0.015, 0.0765] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011211 | PGS002043 (portability-ldpred2_365) |
PSS008408| Greater Middle Eastern Ancestry| 1,181 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glaucoma | — | — | Partial Correlation (partial-r): 0.0637 [0.0062, 0.1208] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011212 | PGS002043 (portability-ldpred2_365) |
PSS008188| South Asian Ancestry| 6,176 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glaucoma | — | — | Partial Correlation (partial-r): 0.0216 [-0.0034, 0.0465] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011213 | PGS002043 (portability-ldpred2_365) |
PSS007971| East Asian Ancestry| 1,783 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glaucoma | — | — | Partial Correlation (partial-r): 0.0214 [-0.0253, 0.068] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011214 | PGS002043 (portability-ldpred2_365) |
PSS007753| African Ancestry| 2,447 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glaucoma | — | — | Partial Correlation (partial-r): 0.0126 [-0.0272, 0.0524] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011215 | PGS002043 (portability-ldpred2_365) |
PSS008858| African Ancestry| 3,854 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glaucoma | — | — | Partial Correlation (partial-r): 0.0279 [-0.0037, 0.0595] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011210 | PGS002043 (portability-ldpred2_365) |
PSS008634| European Ancestry| 6,540 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Glaucoma | — | — | Partial Correlation (partial-r): 0.0366 [0.0123, 0.0608] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011216 | PGS002044 (portability-ldpred2_366) |
PSS009307| European Ancestry| 20,000 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Cataract | — | — | Partial Correlation (partial-r): 0.0497 [0.0359, 0.0635] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011217 | PGS002044 (portability-ldpred2_366) |
PSS009081| European Ancestry| 4,136 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Cataract | — | — | Partial Correlation (partial-r): 0.0835 [0.0531, 0.1137] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011218 | PGS002044 (portability-ldpred2_366) |
PSS008635| European Ancestry| 6,660 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Cataract | — | — | Partial Correlation (partial-r): 0.0633 [0.0393, 0.0873] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011219 | PGS002044 (portability-ldpred2_366) |
PSS008409| Greater Middle Eastern Ancestry| 1,200 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Cataract | — | — | Partial Correlation (partial-r): 0.011 [-0.0461, 0.068] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011220 | PGS002044 (portability-ldpred2_366) |
PSS008189| South Asian Ancestry| 6,331 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Cataract | — | — | Partial Correlation (partial-r): 0.09 [0.0654, 0.1144] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011222 | PGS002044 (portability-ldpred2_366) |
PSS007754| African Ancestry| 2,484 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Cataract | — | — | Partial Correlation (partial-r): -0.0166 [-0.0561, 0.0229] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011223 | PGS002044 (portability-ldpred2_366) |
PSS008859| African Ancestry| 3,924 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Cataract | — | — | Partial Correlation (partial-r): 0.0213 [-0.0101, 0.0526] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011221 | PGS002044 (portability-ldpred2_366) |
PSS007972| East Asian Ancestry| 1,810 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Cataract | — | — | Partial Correlation (partial-r): -0.0104 [-0.0567, 0.0359] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011225 | PGS002045 (portability-ldpred2_371) |
PSS009082| European Ancestry| 4,069 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Inflammation of the eye | — | — | Partial Correlation (partial-r): -0.007 [-0.0378, 0.0238] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011227 | PGS002045 (portability-ldpred2_371) |
PSS008410| Greater Middle Eastern Ancestry| 1,183 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Inflammation of the eye | — | — | Partial Correlation (partial-r): 0.0226 [-0.0349, 0.08] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011228 | PGS002045 (portability-ldpred2_371) |
PSS008190| South Asian Ancestry| 6,184 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Inflammation of the eye | — | — | Partial Correlation (partial-r): 0.01 [-0.015, 0.0349] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011229 | PGS002045 (portability-ldpred2_371) |
PSS007973| East Asian Ancestry| 1,779 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Inflammation of the eye | — | — | Partial Correlation (partial-r): -0.0042 [-0.0509, 0.0426] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011230 | PGS002045 (portability-ldpred2_371) |
PSS007755| African Ancestry| 2,428 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Inflammation of the eye | — | — | Partial Correlation (partial-r): -0.0067 [-0.0466, 0.0333] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011231 | PGS002045 (portability-ldpred2_371) |
PSS008860| African Ancestry| 3,820 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Inflammation of the eye | — | — | Partial Correlation (partial-r): -0.008 [-0.0397, 0.0238] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011224 | PGS002045 (portability-ldpred2_371) |
PSS009308| European Ancestry| 19,618 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Inflammation of the eye | — | — | Partial Correlation (partial-r): 0.0162 [0.0022, 0.0302] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011226 | PGS002045 (portability-ldpred2_371) |
PSS008636| European Ancestry| 6,561 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Inflammation of the eye | — | — | Partial Correlation (partial-r): 0.0309 [0.0067, 0.0551] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012920 | PGS002269 (PRS47_AMD) |
PSS009618| Multi-ancestry (including European)| 44,823 individuals |
PGP000299 | Zekavat SM et al. Ophthalmology (2022) |
Reported Trait: Rentinal layer thickness (photoreceptor inner and outer segments) | β: -0.21 [-0.23, -0.19] | — | — | Age, age2 (to adjust for non-linear relationships with age), sex, smoking status, and the first ten principal components of genetic ancestry | — |
| PPM012921 | PGS002269 (PRS47_AMD) |
PSS009618| Multi-ancestry (including European)| 44,823 individuals |
PGP000299 | Zekavat SM et al. Ophthalmology (2022) |
Reported Trait: Rentinal layer thickness (retinal pigment epithelium and Bruch’s membrane complex) | β: -0.14 [-0.16, -0.12] | — | — | Age, age2 (to adjust for non-linear relationships with age), sex, smoking status, and the first ten principal components of genetic ancestry | — |
| PPM012922 | PGS002269 (PRS47_AMD) |
PSS009618| Multi-ancestry (including European)| 44,823 individuals |
PGP000299 | Zekavat SM et al. Ophthalmology (2022) |
Reported Trait: Rentinal layer thickness (choroid-sclera interface) | β: -0.03 [-0.06, -0.01] | — | — | Age, age2 (to adjust for non-linear relationships with age), sex, smoking status, and the first ten principal components of genetic ancestry | — |
| PPM013012 | PGS002292 (PRS36_KC) |
PSS009647| European Ancestry| 142,595 individuals |
PGP000321 | He W et al. JAMA Ophthalmol (2022) |
Reported Trait: Keratoconus | — | AUROC: 0.705 | — | — | — |
| PPM013013 | PGS002292 (PRS36_KC) |
PSS009647| European Ancestry| 142,595 individuals |
PGP000321 | He W et al. JAMA Ophthalmol (2022) |
Reported Trait: Keratoconus with corneal resistance factor variants | — | AUROC: 0.756 | — | — | — |
| PPM013014 | PGS002292 (PRS36_KC) |
PSS009647| European Ancestry| 142,595 individuals |
PGP000321 | He W et al. JAMA Ophthalmol (2022) |
Reported Trait: Keratoconus with central corneal thickness variants | — | AUROC: 0.755 | — | — | — |
| PPM014899 | PGS002741 (GRS127_POAG_META) |
PSS009920| African Ancestry| 2,448 individuals |
PGP000352 | Waksmunski AR et al. Ophthalmology (2022) |
Reported Trait: Primary open-angle glaucoma | — | AUROC: 0.69 [0.67, 0.7] | — | Age, sex, and 10 sample-specific PCs | — |
| PPM014900 | PGS002741 (GRS127_POAG_META) |
PSS009921| European Ancestry| 3,382 individuals |
PGP000352 | Waksmunski AR et al. Ophthalmology (2022) |
Reported Trait: Primary open-angle glaucoma | — | AUROC: 0.67 [0.66, 0.68] | — | Age, sex, and 10 sample-specific PCs | — |
| PPM014901 | PGS002741 (GRS127_POAG_META) |
PSS009921| European Ancestry| 3,382 individuals |
PGP000352 | Waksmunski AR et al. Ophthalmology (2022) |
Reported Trait: Invasive glaucoma surgery | β: 0.265 (0.068) | — | — | Age, sex, and 10 sample-specific PCs | — |
| PPM014902 | PGS002741 (GRS127_POAG_META) |
PSS009921| European Ancestry| 3,382 individuals |
PGP000352 | Waksmunski AR et al. Ophthalmology (2022) |
Reported Trait: Invasive glaucoma surgery (glaucoma drainage implants) | β: 0.338 (0.079) | — | — | Age, sex, and 10 sample-specific PCs | — |
| PPM014903 | PGS002741 (GRS127_POAG_META) |
PSS009921| European Ancestry| 3,382 individuals |
PGP000352 | Waksmunski AR et al. Ophthalmology (2022) |
Reported Trait: Invasive glaucoma surgery (trabeculectomy or glaucoma drainage implants) | β: 0.274 (0.067) | — | — | Age, sex, and 10 sample-specific PCs | — |
| PPM014961 | PGS002761 (Glaucoma_prscs) |
PSS009939| European Ancestry| 39,444 individuals |
PGP000364 | Mars N et al. Am J Hum Genet (2022) |
Reported Trait: Glaucoma | OR: 1.68 [1.59, 1.78] | — | — | age, sex, 10 PCs, technical covariates | — |
| PPM020569 | PGS004454 (disease.H26.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: H26 (Other cataract) | OR: 1.12821 | — | — | — | — |
| PPM020639 | PGS004524 (meta.H26.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: H26 (Other cataract) | OR: 1.12178 | — | — | — | — |
| PPM020767 | PGS004606 (AMD-IAMDGC-EUR) |
PSS011398| European Ancestry| 163,011 individuals |
PGP000582 | Gorman BR et al. Nat Genet (2024) |
Reported Trait: Age-related macular degeneration | OR: 1.76 [1.73, 1.78] | AUROC: 0.71 | — | age, sex, principal components 1-10 | — |
| PPM020768 | PGS004607 (AMD-MVP-AFR) |
PSS011398| European Ancestry| 163,011 individuals |
PGP000582 | Gorman BR et al. Nat Genet (2024) |
Reported Trait: Age-related macular degeneration | OR: 1.48 [1.34, 1.63] | AUROC: 0.65 | — | age, sex, principal components 1-10 | — |
| PPM020990 | PGS004765 (glaucoma_PRSmix_eur) |
PSS011465| European Ancestry| 9,462 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Glaucoma | — | — | Incremental R2 (Full model versus model with only covariates): 0.031 [0.024, 0.038] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM020991 | PGS004766 (glaucoma_PRSmixPlus_eur) |
PSS011465| European Ancestry| 9,462 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Glaucoma | — | — | Incremental R2 (Full model versus model with only covariates): 0.031 [0.024, 0.038] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021750 | PGS004944 (lassosum_weights_POAG_CROSS_EUR) |
PSS011778| Multi-ancestry (including European)| 37,818 individuals |
PGP000670 | Sekimitsu S et al. JAMA Ophthalmol (2023) |
Reported Trait: Inner nuclear layer thickness | β: -0.03 [-0.05, -0.01] | — | — | Age, age2, sex, ancestry | — |
| PPM021751 | PGS004944 (lassosum_weights_POAG_CROSS_EUR) |
PSS011778| Multi-ancestry (including European)| 37,818 individuals |
PGP000670 | Sekimitsu S et al. JAMA Ophthalmol (2023) |
Reported Trait: Photoreceptor segment thickness | β: -0.03 [-0.06, 0.0] | — | — | Age, age2, sex, ancestry | — |
| PPM021744 | PGS004944 (lassosum_weights_POAG_CROSS_EUR) |
PSS011776| Multi-ancestry (including European)| 407,667 individuals |
PGP000670 | Sekimitsu S et al. JAMA Ophthalmol (2023) |
Reported Trait: Primary open-angle glaucoma (self-reported) | OR: 1.74 [1.71, 1.77] | AUROC: 0.748 | — | Age, age2, sex, ancestry | — |
| PPM021745 | PGS004944 (lassosum_weights_POAG_CROSS_EUR) |
PSS011777| Multi-ancestry (including European)| 44,411 individuals |
PGP000670 | Sekimitsu S et al. JAMA Ophthalmol (2023) |
Reported Trait: Primary open-angle glaucoma | OR: 1.46 [1.36, 1.58] | AUROC: 0.683 | — | Age, age2, sex, ancestry | — |
| PPM021746 | PGS004944 (lassosum_weights_POAG_CROSS_EUR) |
PSS011778| Multi-ancestry (including European)| 37,818 individuals |
PGP000670 | Sekimitsu S et al. JAMA Ophthalmol (2023) |
Reported Trait: Retinal nerve fiber layer thickness | β: -0.14 [-0.19, -0.1] | — | — | Age, age2, sex, ancestry | — |
| PPM021747 | PGS004944 (lassosum_weights_POAG_CROSS_EUR) |
PSS011778| Multi-ancestry (including European)| 37,818 individuals |
PGP000670 | Sekimitsu S et al. JAMA Ophthalmol (2023) |
Reported Trait: Ganglion cell layer thickness | β: -0.05 [-0.08, -0.02] | — | — | Age, age2, sex, ancestry | — |
| PPM021748 | PGS004944 (lassosum_weights_POAG_CROSS_EUR) |
PSS011778| Multi-ancestry (including European)| 37,818 individuals |
PGP000670 | Sekimitsu S et al. JAMA Ophthalmol (2023) |
Reported Trait: Inner plexiform layer thickness | β: -0.06 [-0.09, -0.04] | — | — | Age, age2, sex, ancestry | — |
| PPM021749 | PGS004944 (lassosum_weights_POAG_CROSS_EUR) |
PSS011778| Multi-ancestry (including European)| 37,818 individuals |
PGP000670 | Sekimitsu S et al. JAMA Ophthalmol (2023) |
Reported Trait: Ganglion cell complex thickness | β: -0.26 [-0.34, -0.17] | — | — | Age, age2, sex, ancestry | — |
| PPM021759 | PGS004952 (PRS52_AMD) |
PSS011783| European Ancestry| 1,575 individuals |
PGP000673 | Herold JM et al. Invest Ophthalmol Vis Sci (2023) |
Reported Trait: Early age-related macular degeneration (Clinical Classification) | OR: 1.13 [1.09, 1.16] | AUROC: 64.2 | — | Age, sex, survey membership, 10 PCs | — |
| PPM021760 | PGS004952 (PRS52_AMD) |
PSS011784| European Ancestry| 1,511 individuals |
PGP000673 | Herold JM et al. Invest Ophthalmol Vis Sci (2023) |
Reported Trait: Intermediate age-related macular degeneration (Clinical Classification) | OR: 1.25 [1.2, 1.29] | AUROC: 73.3 | — | Age, sex, survey membership, 10 PCs | — |
| PPM021761 | PGS004952 (PRS52_AMD) |
PSS011785| European Ancestry| 1,232 individuals |
PGP000673 | Herold JM et al. Invest Ophthalmol Vis Sci (2023) |
Reported Trait: Late age-related macular degeneration (Clinical Classification) | OR: 1.41 [1.32, 1.5] | AUROC: 84.2 | — | Age, sex, survey membership, 10 PCs | — |
| PPM021762 | PGS004952 (PRS52_AMD) |
PSS011786| European Ancestry| 1,780 individuals |
PGP000673 | Herold JM et al. Invest Ophthalmol Vis Sci (2023) |
Reported Trait: Mild early age-related macular degeneration (3CACSS) | OR: 1.08 [1.04, 1.13] | AUROC: 59.9 | — | Age, sex, survey membership, 10 PCs | — |
| PPM021763 | PGS004952 (PRS52_AMD) |
PSS011787| European Ancestry| 1,696 individuals |
PGP000673 | Herold JM et al. Invest Ophthalmol Vis Sci (2023) |
Reported Trait: Moderate early age-related macular degeneration (3CACSS) | OR: 1.29 [1.22, 1.37] | AUROC: 76.3 | — | Age, sex, survey membership, 10 PCs | — |
| PPM021764 | PGS004952 (PRS52_AMD) |
PSS011788| European Ancestry| 1,699 individuals |
PGP000673 | Herold JM et al. Invest Ophthalmol Vis Sci (2023) |
Reported Trait: Severe early age-related macular degeneration (3CACSS) | OR: 1.38 [1.29, 1.47] | AUROC: 80.95 | — | Age, sex, survey membership, 10 PCs | — |
| PPM022362 | PGS005142 (Cataract (PRS-CS; EAS)) |
PSS011926| East Asian Ancestry| 58,629 individuals |
PGP000704 | Jung HU et al. Commun Biol (2025) |
Reported Trait: Cataract | β: 1.08231 | — | — | age, sex | — |
| PPM022369 | PGS005149 (Cataract (PRS-CSx; EAS+EUR)) |
PSS011926| East Asian Ancestry| 58,629 individuals |
PGP000704 | Jung HU et al. Commun Biol (2025) |
Reported Trait: Cataract | β: 1.08426 | — | — | age, sex | — |
| PPM036922 | PGS018740 (TPMI_250.7_Lassosum2) |
PSS012672| East Asian Ancestry| 17,858 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Diabetic retinopathy | — | AUROC: 0.62187 | R²: 0.01769 | sex, age, array, PCs 1-10 | — |
| PPM036923 | PGS018741 (TPMI_250.7_LDpred2) |
PSS012671| East Asian Ancestry| 17,858 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Diabetic retinopathy | — | AUROC: 0.63759 | R²: 0.02299 | sex, age, array, PCs 1-10 | — |
| PPM036924 | PGS018742 (TPMI_250.7_MegaPRS) |
PSS012673| East Asian Ancestry| 17,858 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Diabetic retinopathy | — | AUROC: 0.6363 | R²: 0.02173 | sex, age, array, PCs 1-10 | — |
| PPM036925 | PGS018743 (TPMI_250.7_PRS-CS) |
PSS012674| East Asian Ancestry| 17,858 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Diabetic retinopathy | — | AUROC: 0.64129 | R²: 0.02379 | sex, age, array, PCs 1-10 | — |
| PPM036926 | PGS018744 (TPMI_250.7_PRSmix+) |
PSS012675| East Asian Ancestry| 17,858 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Diabetic retinopathy | — | AUROC: 0.69783 | R²: 0.04794 | sex, age, array, PCs 1-10 | — |
| PPM036927 | PGS018745 (TPMI_250.7_SBayesR) |
PSS012676| East Asian Ancestry| 17,858 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Diabetic retinopathy | — | AUROC: 0.63067 | R²: 0.0204 | sex, age, array, PCs 1-10 | — |
| PPM036940 | PGS018758 (TPMI_250.23_Lassosum2) |
PSS012632| East Asian Ancestry| 15,449 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Type 2 diabetes with ophthalmic manifestations | — | AUROC: 0.65648 | R²: 0.03833 | sex, age, array, PCs 1-10 | — |
| PPM036941 | PGS018759 (TPMI_250.23_LDpred2) |
PSS012631| East Asian Ancestry| 15,449 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Type 2 diabetes with ophthalmic manifestations | — | AUROC: 0.67446 | R²: 0.04798 | sex, age, array, PCs 1-10 | — |
| PPM036942 | PGS018760 (TPMI_250.23_MegaPRS) |
PSS012633| East Asian Ancestry| 15,449 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Type 2 diabetes with ophthalmic manifestations | — | AUROC: 0.65466 | R²: 0.03786 | sex, age, array, PCs 1-10 | — |
| PPM036943 | PGS018761 (TPMI_250.23_PRS-CS) |
PSS012634| East Asian Ancestry| 15,449 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Type 2 diabetes with ophthalmic manifestations | — | AUROC: 0.671 | R²: 0.04649 | sex, age, array, PCs 1-10 | — |
| PPM036944 | PGS018762 (TPMI_250.23_PRSmix+) |
PSS012635| East Asian Ancestry| 15,449 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Type 2 diabetes with ophthalmic manifestations | — | AUROC: 0.70717 | R²: 0.06794 | sex, age, array, PCs 1-10 | — |
| PPM036945 | PGS018763 (TPMI_250.23_SBayesR) |
PSS012636| East Asian Ancestry| 15,449 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Type 2 diabetes with ophthalmic manifestations | — | AUROC: 0.65724 | R²: 0.03763 | sex, age, array, PCs 1-10 | — |
| PPM037188 | PGS019006 (TPMI_361_Lassosum2) |
PSS012909| East Asian Ancestry| 17,638 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Retinal detachments and defects | — | AUROC: 0.64518 | R²: 0.01185 | sex, age, array, PCs 1-10 | — |
| PPM037189 | PGS019007 (TPMI_361_LDpred2) |
PSS012908| East Asian Ancestry| 17,638 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Retinal detachments and defects | — | AUROC: 0.64405 | R²: 0.01162 | sex, age, array, PCs 1-10 | — |
| PPM037190 | PGS019008 (TPMI_361_MegaPRS) |
PSS012910| East Asian Ancestry| 17,638 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Retinal detachments and defects | — | AUROC: 0.64402 | R²: 0.01161 | sex, age, array, PCs 1-10 | — |
| PPM037191 | PGS019009 (TPMI_361_PRS-CS) |
PSS012911| East Asian Ancestry| 17,638 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Retinal detachments and defects | — | AUROC: 0.64418 | R²: 0.01161 | sex, age, array, PCs 1-10 | — |
| PPM037192 | PGS019010 (TPMI_361_SBayesR) |
PSS012912| East Asian Ancestry| 17,638 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Retinal detachments and defects | — | AUROC: 0.64456 | R²: 0.01164 | sex, age, array, PCs 1-10 | — |
| PPM037193 | PGS019011 (TPMI_362_Lassosum2) |
PSS012934| East Asian Ancestry| 18,643 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Other retinal disorders | — | AUROC: 0.56005 | R²: 0.01551 | sex, age, array, PCs 1-10 | — |
| PPM037194 | PGS019012 (TPMI_362_LDpred2) |
PSS012933| East Asian Ancestry| 18,643 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Other retinal disorders | — | AUROC: 0.56621 | R²: 0.01747 | sex, age, array, PCs 1-10 | — |
| PPM037195 | PGS019013 (TPMI_362_MegaPRS) |
PSS012935| East Asian Ancestry| 18,643 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Other retinal disorders | — | AUROC: 0.56323 | R²: 0.01687 | sex, age, array, PCs 1-10 | — |
| PPM037196 | PGS019014 (TPMI_362_PRS-CS) |
PSS012936| East Asian Ancestry| 18,643 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Other retinal disorders | — | AUROC: 0.56337 | R²: 0.01671 | sex, age, array, PCs 1-10 | — |
| PPM037197 | PGS019015 (TPMI_362_SBayesR) |
PSS012937| East Asian Ancestry| 18,643 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Other retinal disorders | — | AUROC: 0.56231 | R²: 0.01628 | sex, age, array, PCs 1-10 | — |
| PPM037198 | PGS019016 (TPMI_362.2_Lassosum2) |
PSS012924| East Asian Ancestry| 17,925 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Degeneration of macula and posterior pole of retina | — | AUROC: 0.58428 | R²: 0.00842 | sex, age, array, PCs 1-10 | — |
| PPM037199 | PGS019017 (TPMI_362.2_LDpred2) |
PSS012923| East Asian Ancestry| 17,925 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Degeneration of macula and posterior pole of retina | — | AUROC: 0.58598 | R²: 0.00867 | sex, age, array, PCs 1-10 | — |
| PPM037200 | PGS019018 (TPMI_362.2_MegaPRS) |
PSS012925| East Asian Ancestry| 17,925 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Degeneration of macula and posterior pole of retina | — | AUROC: 0.58426 | R²: 0.00872 | sex, age, array, PCs 1-10 | — |
| PPM037201 | PGS019019 (TPMI_362.2_PRS-CS) |
PSS012926| East Asian Ancestry| 17,925 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Degeneration of macula and posterior pole of retina | — | AUROC: 0.58662 | R²: 0.00887 | sex, age, array, PCs 1-10 | — |
| PPM037202 | PGS019020 (TPMI_362.2_SBayesR) |
PSS012927| East Asian Ancestry| 17,925 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Degeneration of macula and posterior pole of retina | — | AUROC: 0.58547 | R²: 0.00857 | sex, age, array, PCs 1-10 | — |
| PPM037203 | PGS019021 (TPMI_362.6_Lassosum2) |
PSS012929| East Asian Ancestry| 17,530 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Peripheral retinal degenerations | — | AUROC: 0.66601 | R²: 0.00976 | sex, age, array, PCs 1-10 | — |
| PPM037204 | PGS019022 (TPMI_362.6_LDpred2) |
PSS012928| East Asian Ancestry| 17,530 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Peripheral retinal degenerations | — | AUROC: 0.66588 | R²: 0.00975 | sex, age, array, PCs 1-10 | — |
| PPM037205 | PGS019023 (TPMI_362.6_MegaPRS) |
PSS012930| East Asian Ancestry| 17,530 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Peripheral retinal degenerations | — | AUROC: 0.66599 | R²: 0.00976 | sex, age, array, PCs 1-10 | — |
| PPM037206 | PGS019024 (TPMI_362.6_PRS-CS) |
PSS012931| East Asian Ancestry| 17,530 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Peripheral retinal degenerations | — | AUROC: 0.66592 | R²: 0.00976 | sex, age, array, PCs 1-10 | — |
| PPM037207 | PGS019025 (TPMI_362.6_SBayesR) |
PSS012932| East Asian Ancestry| 17,530 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Peripheral retinal degenerations | — | AUROC: 0.66718 | R²: 0.00993 | sex, age, array, PCs 1-10 | — |
| PPM037208 | PGS019026 (TPMI_362.26_Lassosum2) |
PSS012914| East Asian Ancestry| 17,554 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Macular puckering of retina | — | AUROC: 0.65845 | R²: 0.00658 | sex, age, array, PCs 1-10 | — |
| PPM037209 | PGS019027 (TPMI_362.26_LDpred2) |
PSS012913| East Asian Ancestry| 17,554 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Macular puckering of retina | — | AUROC: 0.66467 | R²: 0.00729 | sex, age, array, PCs 1-10 | — |
| PPM037210 | PGS019028 (TPMI_362.26_MegaPRS) |
PSS012915| East Asian Ancestry| 17,554 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Macular puckering of retina | — | AUROC: 0.65624 | R²: 0.00642 | sex, age, array, PCs 1-10 | — |
| PPM037211 | PGS019029 (TPMI_362.26_PRS-CS) |
PSS012916| East Asian Ancestry| 17,554 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Macular puckering of retina | — | AUROC: 0.66164 | R²: 0.00691 | sex, age, array, PCs 1-10 | — |
| PPM037212 | PGS019030 (TPMI_362.26_SBayesR) |
PSS012917| East Asian Ancestry| 17,554 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Macular puckering of retina | — | AUROC: 0.65794 | R²: 0.00674 | sex, age, array, PCs 1-10 | — |
| PPM037213 | PGS019031 (TPMI_362.29_Lassosum2) |
PSS012919| East Asian Ancestry| 17,901 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Macular degeneration senile of retina NOS | — | AUROC: 0.59018 | R²: 0.00782 | sex, age, array, PCs 1-10 | — |
| PPM037214 | PGS019032 (TPMI_362.29_LDpred2) |
PSS012918| East Asian Ancestry| 17,901 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Macular degeneration senile of retina NOS | — | AUROC: 0.59322 | R²: 0.00832 | sex, age, array, PCs 1-10 | — |
| PPM037215 | PGS019033 (TPMI_362.29_MegaPRS) |
PSS012920| East Asian Ancestry| 17,901 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Macular degeneration senile of retina NOS | — | AUROC: 0.58856 | R²: 0.00791 | sex, age, array, PCs 1-10 | — |
| PPM037216 | PGS019034 (TPMI_362.29_PRS-CS) |
PSS012921| East Asian Ancestry| 17,901 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Macular degeneration senile of retina NOS | — | AUROC: 0.5911 | R²: 0.00806 | sex, age, array, PCs 1-10 | — |
| PPM037217 | PGS019035 (TPMI_362.29_SBayesR) |
PSS012922| East Asian Ancestry| 17,901 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Macular degeneration senile of retina NOS | — | AUROC: 0.59257 | R²: 0.00812 | sex, age, array, PCs 1-10 | — |
| PPM037218 | PGS019036 (TPMI_365_Lassosum2) |
PSS012944| East Asian Ancestry| 18,240 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Glaucoma | — | AUROC: 0.59098 | R²: 0.02398 | sex, age, array, PCs 1-10 | — |
| PPM037219 | PGS019037 (TPMI_365_LDpred2) |
PSS012943| East Asian Ancestry| 18,240 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Glaucoma | — | AUROC: 0.60118 | R²: 0.02844 | sex, age, array, PCs 1-10 | — |
| PPM037220 | PGS019038 (TPMI_365_MegaPRS) |
PSS012945| East Asian Ancestry| 18,240 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Glaucoma | — | AUROC: 0.59981 | R²: 0.02822 | sex, age, array, PCs 1-10 | — |
| PPM037221 | PGS019039 (TPMI_365_PRS-CS) |
PSS012946| East Asian Ancestry| 18,240 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Glaucoma | — | AUROC: 0.59584 | R²: 0.02595 | sex, age, array, PCs 1-10 | — |
| PPM037222 | PGS019040 (TPMI_365_SBayesR) |
PSS012947| East Asian Ancestry| 18,240 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Glaucoma | — | AUROC: 0.58769 | R²: 0.02229 | sex, age, array, PCs 1-10 | — |
| PPM037223 | PGS019041 (TPMI_365.1_Lassosum2) |
PSS012939| East Asian Ancestry| 17,614 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Open angle glaucoma | — | AUROC: 0.67262 | R²: 0.01363 | sex, age, array, PCs 1-10 | — |
| PPM037224 | PGS019042 (TPMI_365.1_LDpred2) |
PSS012938| East Asian Ancestry| 17,614 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Open angle glaucoma | — | AUROC: 0.67684 | R²: 0.0139 | sex, age, array, PCs 1-10 | — |
| PPM037225 | PGS019043 (TPMI_365.1_MegaPRS) |
PSS012940| East Asian Ancestry| 17,614 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Open angle glaucoma | — | AUROC: 0.66854 | R²: 0.01183 | sex, age, array, PCs 1-10 | — |
| PPM037226 | PGS019044 (TPMI_365.1_PRS-CS) |
PSS012941| East Asian Ancestry| 17,614 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Open angle glaucoma | — | AUROC: 0.67867 | R²: 0.01385 | sex, age, array, PCs 1-10 | — |
| PPM037227 | PGS019045 (TPMI_365.1_SBayesR) |
PSS012942| East Asian Ancestry| 17,614 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Open angle glaucoma | — | AUROC: 0.66172 | R²: 0.01148 | sex, age, array, PCs 1-10 | — |
| PPM037228 | PGS019046 (TPMI_366_Lassosum2) |
PSS012949| East Asian Ancestry| 19,293 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Cataract | — | AUROC: 0.58738 | R²: 0.02441 | sex, age, array, PCs 1-10 | — |
| PPM037229 | PGS019047 (TPMI_366_LDpred2) |
PSS012948| East Asian Ancestry| 19,293 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Cataract | — | AUROC: 0.58741 | R²: 0.02444 | sex, age, array, PCs 1-10 | — |
| PPM037230 | PGS019048 (TPMI_366_MegaPRS) |
PSS012950| East Asian Ancestry| 19,293 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Cataract | — | AUROC: 0.58721 | R²: 0.02438 | sex, age, array, PCs 1-10 | — |
| PPM037231 | PGS019049 (TPMI_366_PRS-CS) |
PSS012951| East Asian Ancestry| 19,293 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Cataract | — | AUROC: 0.58729 | R²: 0.02438 | sex, age, array, PCs 1-10 | — |
| PPM037232 | PGS019050 (TPMI_366_SBayesR) |
PSS012952| East Asian Ancestry| 19,293 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Cataract | — | AUROC: 0.58737 | R²: 0.02444 | sex, age, array, PCs 1-10 | — |
| PPM037238 | PGS019056 (TPMI_370_Lassosum2) |
PSS012959| East Asian Ancestry| 17,270 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Keratitis | — | AUROC: 0.6425 | R²: 0.02353 | sex, age, array, PCs 1-10 | — |
| PPM037239 | PGS019057 (TPMI_370_LDpred2) |
PSS012958| East Asian Ancestry| 17,270 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Keratitis | — | AUROC: 0.64516 | R²: 0.02464 | sex, age, array, PCs 1-10 | — |
| PPM037240 | PGS019058 (TPMI_370_MegaPRS) |
PSS012960| East Asian Ancestry| 17,270 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Keratitis | — | AUROC: 0.64239 | R²: 0.02302 | sex, age, array, PCs 1-10 | — |
| PPM037241 | PGS019059 (TPMI_370_PRS-CS) |
PSS012961| East Asian Ancestry| 17,270 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Keratitis | — | AUROC: 0.64193 | R²: 0.02342 | sex, age, array, PCs 1-10 | — |
| PPM037242 | PGS019060 (TPMI_370_SBayesR) |
PSS012962| East Asian Ancestry| 17,270 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Keratitis | — | AUROC: 0.64304 | R²: 0.02348 | sex, age, array, PCs 1-10 | — |
| PPM037243 | PGS019061 (TPMI_371.1_Lassosum2) |
PSS012964| East Asian Ancestry| 17,058 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Uveitis noninfectious or NOS | — | AUROC: 0.69478 | R²: 0.02327 | sex, age, array, PCs 1-10 | — |
| PPM037244 | PGS019062 (TPMI_371.1_LDpred2) |
PSS012963| East Asian Ancestry| 17,058 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Uveitis noninfectious or NOS | — | AUROC: 0.68414 | R²: 0.02171 | sex, age, array, PCs 1-10 | — |
| PPM037245 | PGS019063 (TPMI_371.1_MegaPRS) |
PSS012965| East Asian Ancestry| 17,058 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Uveitis noninfectious or NOS | — | AUROC: 0.69623 | R²: 0.0113 | sex, age, array, PCs 1-10 | — |
| PPM037246 | PGS019064 (TPMI_371.1_PRS-CS) |
PSS012966| East Asian Ancestry| 17,058 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Uveitis noninfectious or NOS | — | AUROC: 0.69329 | R²: 0.0217 | sex, age, array, PCs 1-10 | — |
| PPM037247 | PGS019065 (TPMI_371.1_SBayesR) |
PSS012967| East Asian Ancestry| 17,058 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Uveitis noninfectious or NOS | — | AUROC: 0.69575 | R²: 0.02286 | sex, age, array, PCs 1-10 | — |
| PPM037248 | PGS019066 (TPMI_379_Lassosum2) |
PSS012974| East Asian Ancestry| 17,628 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Other disorders of eye | — | AUROC: 0.60842 | R²: 0.03764 | sex, age, array, PCs 1-10 | — |
| PPM037249 | PGS019067 (TPMI_379_LDpred2) |
PSS012973| East Asian Ancestry| 17,628 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Other disorders of eye | — | AUROC: 0.61129 | R²: 0.03931 | sex, age, array, PCs 1-10 | — |
| PPM037250 | PGS019068 (TPMI_379_MegaPRS) |
PSS012975| East Asian Ancestry| 17,628 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Other disorders of eye | — | AUROC: 0.60876 | R²: 0.0356 | sex, age, array, PCs 1-10 | — |
| PPM037251 | PGS019069 (TPMI_379_PRS-CS) |
PSS012976| East Asian Ancestry| 17,628 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Other disorders of eye | — | AUROC: 0.60788 | R²: 0.03545 | sex, age, array, PCs 1-10 | — |
| PPM037252 | PGS019070 (TPMI_379_SBayesR) |
PSS012977| East Asian Ancestry| 17,628 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Other disorders of eye | — | AUROC: 0.60799 | R²: 0.03488 | sex, age, array, PCs 1-10 | — |
| PPM037253 | PGS019071 (TPMI_379.5_Lassosum2) |
PSS012969| East Asian Ancestry| 16,888 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Disorders of iris and ciliary body | — | AUROC: 0.7019 | R²: 0.02526 | sex, age, array, PCs 1-10 | — |
| PPM037254 | PGS019072 (TPMI_379.5_LDpred2) |
PSS012968| East Asian Ancestry| 16,888 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Disorders of iris and ciliary body | — | AUROC: 0.68292 | R²: 0.02204 | sex, age, array, PCs 1-10 | — |
| PPM037255 | PGS019073 (TPMI_379.5_MegaPRS) |
PSS012970| East Asian Ancestry| 16,888 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Disorders of iris and ciliary body | — | AUROC: 0.69577 | R²: 0.01157 | sex, age, array, PCs 1-10 | — |
| PPM037256 | PGS019074 (TPMI_379.5_PRS-CS) |
PSS012971| East Asian Ancestry| 16,888 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Disorders of iris and ciliary body | — | AUROC: 0.70601 | R²: 0.02421 | sex, age, array, PCs 1-10 | — |
| PPM037257 | PGS019075 (TPMI_379.5_SBayesR) |
PSS012972| East Asian Ancestry| 16,888 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Disorders of iris and ciliary body | — | AUROC: 0.70067 | R²: 0.02486 | sex, age, array, PCs 1-10 | — |
| PPM037827 | PGS019645 (TPMI_709.2_Lassosum2) |
PSS013542| East Asian Ancestry| 18,012 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Sicca syndrome | — | AUROC: 0.77927 | R²: 0.24978 | sex, age, array, PCs 1-10 | — |
| PPM037828 | PGS019646 (TPMI_709.2_LDpred2) |
PSS013541| East Asian Ancestry| 18,012 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Sicca syndrome | — | AUROC: 0.78396 | R²: 0.25747 | sex, age, array, PCs 1-10 | — |
| PPM037829 | PGS019647 (TPMI_709.2_MegaPRS) |
PSS013543| East Asian Ancestry| 18,012 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Sicca syndrome | — | AUROC: 0.77815 | R²: 0.24514 | sex, age, array, PCs 1-10 | — |
| PPM037830 | PGS019648 (TPMI_709.2_PRS-CS) |
PSS013544| East Asian Ancestry| 18,012 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Sicca syndrome | — | AUROC: 0.78347 | R²: 0.25531 | sex, age, array, PCs 1-10 | — |
| PPM037831 | PGS019649 (TPMI_709.2_PRSmix+) |
PSS013545| East Asian Ancestry| 18,012 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Sicca syndrome | — | AUROC: 0.78759 | R²: 0.26384 | sex, age, array, PCs 1-10 | — |
| PPM037832 | PGS019650 (TPMI_709.2_SBayesR) |
PSS013546| East Asian Ancestry| 18,012 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Sicca syndrome | — | AUROC: 0.77877 | R²: 0.2473 | sex, age, array, PCs 1-10 | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS012925 | 362.5,H35.3 | — | [ ,
45.8 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012926 | 362.5,H35.3 | — | [ ,
45.8 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012927 | 362.5,H35.3 | — | [ ,
45.8 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012928 | 362.6,H35.4 | — | [ ,
45.81 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012929 | 362.6,H35.4 | — | [ ,
45.81 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012930 | 362.6,H35.4 | — | [ ,
45.81 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012931 | 362.6,H35.4 | — | [ ,
45.81 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012932 | 362.6,H35.4 | — | [ ,
45.81 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012933 | 362,G45.3, H31.11, H33.2, H34, H35, H36 | — | [ ,
46.03 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS004677 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004678 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004679 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004680 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004681 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004682 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004683 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004684 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004685 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004686 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004687 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004688 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004689 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004690 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004691 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004692 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004693 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004694 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004695 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004696 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004697 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004698 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004699 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004700 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004701 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS012950 | 366, 998.82, V43.1, V45.61,E08.36, E09.36, E10.36, E11.36, H25, H26, H28, H59.02, Z96.1, Z98.4 | — | [ ,
46.06 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012951 | 366, 998.82, V43.1, V45.61,E08.36, E09.36, E10.36, E11.36, H25, H26, H28, H59.02, Z96.1, Z98.4 | — | [ ,
46.06 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012952 | 366, 998.82, V43.1, V45.61,E08.36, E09.36, E10.36, E11.36, H25, H26, H28, H59.02, Z96.1, Z98.4 | — | [ ,
46.06 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012959 | 370,B60.13, H16 | — | [ ,
46.95 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012958 | 370,B60.13, H16 | — | [ ,
46.95 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS008171 | — | — | 6,081 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS012960 | 370,B60.13, H16 | — | [ ,
46.95 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012961 | 370,B60.13, H16 | — | [ ,
46.95 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012962 | 370,B60.13, H16 | — | [ ,
46.95 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012964 | 360.11, 360.12, 363.01, 363.03, 363.04, 363.05, 363.06, 363.07, 363.08, 363.1, 363.2, 364.0, 364.1, 364.2, 364.3,H20, H30, H44.11, H44.13 | — | [ ,
47.25 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012963 | 360.11, 360.12, 363.01, 363.03, 363.04, 363.05, 363.06, 363.07, 363.08, 363.1, 363.2, 364.0, 364.1, 364.2, 364.3,H20, H30, H44.11, H44.13 | — | [ ,
47.25 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012965 | 360.11, 360.12, 363.01, 363.03, 363.04, 363.05, 363.06, 363.07, 363.08, 363.1, 363.2, 364.0, 364.1, 364.2, 364.3,H20, H30, H44.11, H44.13 | — | [ ,
47.25 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012966 | 360.11, 360.12, 363.01, 363.03, 363.04, 363.05, 363.06, 363.07, 363.08, 363.1, 363.2, 364.0, 364.1, 364.2, 364.3,H20, H30, H44.11, H44.13 | — | [ ,
47.25 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012967 | 360.11, 360.12, 363.01, 363.03, 363.04, 363.05, 363.06, 363.07, 363.08, 363.1, 363.2, 364.0, 364.1, 364.2, 364.3,H20, H30, H44.11, H44.13 | — | [ ,
47.25 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012973 | 364, 375.01, 379, 781.93,A18.51, H04.01, H15, H21, H22, H27, H43, H44, H57.0, H57.1, H57.8, H57.9, R29.891 | — | [ ,
47.42 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012974 | 364, 375.01, 379, 781.93,A18.51, H04.01, H15, H21, H22, H27, H43, H44, H57.0, H57.1, H57.8, H57.9, R29.891 | — | [ ,
47.42 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012975 | 364, 375.01, 379, 781.93,A18.51, H04.01, H15, H21, H22, H27, H43, H44, H57.0, H57.1, H57.8, H57.9, R29.891 | — | [ ,
47.42 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012976 | 364, 375.01, 379, 781.93,A18.51, H04.01, H15, H21, H22, H27, H43, H44, H57.0, H57.1, H57.8, H57.9, R29.891 | — | [ ,
47.42 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012977 | 364, 375.01, 379, 781.93,A18.51, H04.01, H15, H21, H22, H27, H43, H44, H57.0, H57.1, H57.8, H57.9, R29.891 | — | [ ,
47.42 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS008185 | — | — | 6,095 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008186 | — | — | 6,037 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008187 | — | — | 6,052 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008188 | — | — | 6,176 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS007695 | — | — | [
|
— | European | — | CanPath | — |
| PSS008189 | — | — | 6,331 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008190 | — | — | 6,184 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS012675 | 362.0,E08.3, E09.3, E10.3, E11.3, E13.31, E13.32, E13.33, E13.34, E13.35 | — | [ ,
46.24 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012676 | 362.0,E08.3, E09.3, E10.3, E11.3, E13.31, E13.32, E13.33, E13.34, E13.35 | — | [ ,
46.24 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS007704 | — | — | [
|
— | Asian unspecified | Central and South Asian | UKB | — |
| PSS012971 | 364,H21, H22 | — | [ ,
47.72 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS009081 | — | — | 4,136 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS007715 | — | — | [
|
— | European | — | UKB | — |
| PSS012969 | 364,H21, H22 | — | [ ,
47.72 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012972 | 364,H21, H22 | — | [ ,
47.72 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013541 | 710.2,M35.0 | — | [ ,
46.5 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013542 | 710.2,M35.0 | — | [ ,
46.5 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013543 | 710.2,M35.0 | — | [ ,
46.5 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS009618 | AMD phenotype was defined using a combination of main and secondary ICD-10 (Field IDs 41202, 41204: Code H35.3) and ICD-9 (Field IDs 41203, 41205: Code 3625) diagnoses for macular degeneration, self-reported macular degeneration (Field ID 20002: Code 1528), and macular degeneration from the available general practice data. Prevalent AMD cases were defined as individuals who had AMD first diagnosed at or before enrollment. Incident AMD cases were defined as individuals who had AMD first diagnosed after enrollment | — | 44,253 individuals | — | European | — | UKB | — |
| PSS009618 | AMD phenotype was defined using a combination of main and secondary ICD-10 (Field IDs 41202, 41204: Code H35.3) and ICD-9 (Field IDs 41203, 41205: Code 3625) diagnoses for macular degeneration, self-reported macular degeneration (Field ID 20002: Code 1528), and macular degeneration from the available general practice data. Prevalent AMD cases were defined as individuals who had AMD first diagnosed at or before enrollment. Incident AMD cases were defined as individuals who had AMD first diagnosed after enrollment | — | 40 individuals | — | South Asian | — | UKB | — |
| PSS009618 | AMD phenotype was defined using a combination of main and secondary ICD-10 (Field IDs 41202, 41204: Code H35.3) and ICD-9 (Field IDs 41203, 41205: Code 3625) diagnoses for macular degeneration, self-reported macular degeneration (Field ID 20002: Code 1528), and macular degeneration from the available general practice data. Prevalent AMD cases were defined as individuals who had AMD first diagnosed at or before enrollment. Incident AMD cases were defined as individuals who had AMD first diagnosed after enrollment | — | 530 individuals | — | Not reported | — | UKB | — |
| PSS013544 | 710.2,M35.0 | — | [ ,
46.5 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013545 | 710.2,M35.0 | — | [ ,
46.5 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013546 | 710.2,M35.0 | — | [ ,
46.5 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS007739 | — | — | 2,385 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS011926 | — | — | [
|
— | East Asian (Korean) |
— | HEXA | — |
| PSS003765 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS003766 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS003767 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS003768 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS003769 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS007751 | — | — | 2,384 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007752 | — | — | 2,374 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS009289 | — | — | 19,330 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS007753 | — | — | 2,447 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007754 | — | — | 2,484 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007755 | — | — | 2,428 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS010053 | — | — | 1,103 individuals | — | European | — | PROGRESSA | Ancestrally matched normative population cohort (n = 17 642) was used for PRS reference |
| PSS009920 | — | — | 2,448 individuals | — | African unspecified | — | MVP | — |
| PSS009921 | — | — | 3,382 individuals | — | European | — | MVP | — |
| PSS011776 | — | — | 7,738 individuals | — | African unspecified | — | UKB | — |
| PSS009303 | — | — | 19,445 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009304 | — | — | 19,413 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009305 | — | — | 19,321 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009306 | — | — | 19,592 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009307 | — | — | 20,000 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009308 | — | — | 19,618 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS011465 | — | — | 9,462 individuals | — | European | — | AllofUs | — |
| PSS009647 | Keratoconus cases (ICD10 diagnosis code H186) and healthy controls without severe eye diseases (UKB Field 6148) | — | [
|
— | European | — | UKB | — |
| PSS008842 | — | — | 3,732 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS003849 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS003850 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS003851 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS003852 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS003853 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS012970 | 364,H21, H22 | — | [ ,
47.72 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS008855 | — | — | 3,743 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008856 | — | — | 3,723 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008857 | — | — | 3,718 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008858 | — | — | 3,854 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008859 | — | — | 3,924 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008860 | — | — | 3,820 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS012631 | 250.50, 250.52,E11.3 | — | [ ,
43.57 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012632 | 250.50, 250.52,E11.3 | — | [ ,
43.57 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012633 | 250.50, 250.52,E11.3 | — | [ ,
43.57 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012634 | 250.50, 250.52,E11.3 | — | [ ,
43.57 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS009939 | — | — | 39,444 individuals | — | European (Finnish) |
— | FinnGen | — |
| PSS004379 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004380 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004381 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004382 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004383 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS012635 | 250.50, 250.52,E11.3 | — | [ ,
43.57 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012636 | 250.50, 250.52,E11.3 | — | [ ,
43.57 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012913 | 362.56,H35.37 | — | [ ,
45.79 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012914 | 362.56,H35.37 | — | [ ,
45.79 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS000245 | — | — | [ ,
43.0 % Male samples |
Mean = 64.02 years Sd = 8.24 years |
European | — | BMES | — |
| PSS000246 | MYOC p.Gln368Ter (rs74315329) carriers using imputation. Glaucoma cases were defined as those who (i) had an ICD-10 diagnosis of ‘primary open angle glaucoma’, ‘other glaucoma’ or ‘glaucoma, unspecified’; (ii) responded ‘glaucoma’ to the question ‘Has a doctor told you that you have any of the following problems with your eyes?’; or (iii) responded ‘glaucoma’ to the question ‘In the touch screen you selected that you have been told by a doctor that you have other serious illnesses or disabilities, could you now tell me what they are? (non-cancer illness). | — | [
|
— | European | — | UKB | — |
| PSS000247 | ICD-10 defined Primary open-angle glaucoma (POAG) | — | [
|
— | European | — | UKB | — |
| PSS000248 | Glaucoma cases were defined as those who (i) had an ICD-10 diagnosis of ‘primary open angle glaucoma’, ‘other glaucoma’ or ‘glaucoma, unspecified’; (ii) responded ‘glaucoma’ to the question ‘Has a doctor told you that you have any of the following problems with your eyes?’; or (iii) responded ‘glaucoma’ to the question ‘In the touch screen you selected that you have been told by a doctor that you have other serious illnesses or disabilities, could you now tell me what they are? (non-cancer illness). | — | [
|
— | European | — | UKB | — |
| PSS000249 | Glaucoma cases were defined as those who (i) had an ICD-10 diagnosis of ‘primary open angle glaucoma’, ‘other glaucoma’ or ‘glaucoma, unspecified’; (ii) responded ‘glaucoma’ to the question ‘Has a doctor told you that you have any of the following problems with your eyes?’; or (iii) responded ‘glaucoma’ to the question ‘In the touch screen you selected that you have been told by a doctor that you have other serious illnesses or disabilities, could you now tell me what they are? (non-cancer illness). | — | [
|
— | South Asian | — | UKB | — |
| PSS004399 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004400 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004401 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004402 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS012915 | 362.56,H35.37 | — | [ ,
45.79 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012916 | 362.56,H35.37 | — | [ ,
45.79 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012917 | 362.56,H35.37 | — | [ ,
45.79 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS004408 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004409 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004410 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004411 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004412 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS012918 | 362.50,H35.3 | — | [ ,
45.81 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS000556 | PheCode:190; ICD9CM:190.0, 190.1, 190.2, 190.3, 190.4, 190.5, 190.6, 190.7, 190.8, 190.9, 234.0, V10.84; ICD10CM:C69, C69.0, C69.00, C69.01, C69.02, C69.1, C69.10, C69.11, C69.12, C69.2, C69.20, C69.21, C69.22, C69.3, C69.30, C69.31, C69.32, C69.4, C69.40, C69.41, C69.42, C69.5, C69.50, C69.51, C69.52, C69.6, C69.60, C69.61, C69.62, C69.8, C69.80, C69.81, C69.82, C69.9, C69.90, C69.91, C69.92, D09.2, D09.20, D09.21, D09.22 | — | [
|
— | European | — | MGI | — |
| PSS012672 | 362.0,E08.3, E09.3, E10.3, E11.3, E13.31, E13.32, E13.33, E13.34, E13.35 | — | [ ,
46.24 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012671 | 362.0,E08.3, E09.3, E10.3, E11.3, E13.31, E13.32, E13.33, E13.34, E13.35 | — | [ ,
46.24 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS008393 | — | — | 1,162 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS004418 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004419 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004420 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004421 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004422 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS008407 | — | — | 1,162 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS012673 | 362.0,E08.3, E09.3, E10.3, E11.3, E13.31, E13.32, E13.33, E13.34, E13.35 | — | [ ,
46.24 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS008408 | — | — | 1,181 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS012674 | 362.0,E08.3, E09.3, E10.3, E11.3, E13.31, E13.32, E13.33, E13.34, E13.35 | — | [ ,
46.24 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012272 | — | — | 24,043 individuals | — | European | — | CLSA | — |
| PSS012272 | — | — | 160 individuals | — | African American or Afro-Caribbean | — | CLSA | — |
| PSS012272 | — | — | 205 individuals | — | East Asian (Chinese, Japanese and Korean) |
— | CLSA | — |
| PSS012272 | — | — | 80 individuals | — | South East Asian (Southeast Asian and Filipino) |
— | CLSA | — |
| PSS012272 | — | — | 209 individuals | — | South East Asian | — | CLSA | — |
| PSS012272 | — | — | 99 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) (Arab and West Asian) |
— | CLSA | — |
| PSS012272 | — | — | 82 individuals | — | Hispanic or Latin American (Latin American) |
— | CLSA | — |
| PSS012272 | — | — | 516 individuals | — | Not reported | — | CLSA | — |
| PSS008405 | — | — | 1,169 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008406 | — | — | 1,165 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS004437 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004438 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004439 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004440 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004441 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS008409 | — | — | 1,200 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008410 | — | — | 1,183 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS000512 | A harmonized definition of POAG used the following criteria: (1) open anterior segment angles; (2) reproducible glaucomatous visual field loss on reliable tests; or (3) an eye with cup-disc ratio of at least 0.7 with 1 visual field showing glaucomatous loss; and (4) no identifiable secondary cause for optic nerve disease. | — | [ ,
43.38 % Male samples |
— | European | — | GLAUGEN, NEIGHBOR | — |
| PSS000513 | A harmonized definition of POAG used the following criteria: (1) open anterior segment angles; (2) reproducible glaucomatous visual field loss on reliable tests; or (3) an eye with cup-disc ratio of at least 0.7 with 1 visual field showing glaucomatous loss; and (4) no identifiable secondary cause for optic nerve disease. | — | [
|
— | European | — | GLAUGEN, NEIGHBOR | — |
| PSS012919 | 362.50,H35.3 | — | [ ,
45.81 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS011783 | — | — | [
|
— | European | — | AugUR | — |
| PSS011784 | — | — | [
|
— | European | — | AugUR | — |
| PSS011785 | — | — | [
|
— | European | — | AugUR | — |
| PSS011786 | — | — | [
|
— | European | — | AugUR | — |
| PSS011787 | — | — | [
|
— | European | — | AugUR | — |
| PSS011788 | — | — | [
|
— | European | — | AugUR | — |
| PSS012920 | 362.50,H35.3 | — | [ ,
45.81 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS003974 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS003975 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS003976 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS003977 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS003978 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS012934 | 362,G45.3, H31.11, H33.2, H34, H35, H36 | — | [ ,
46.03 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS007958 | — | — | 1,764 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS012935 | 362,G45.3, H31.11, H33.2, H34, H35, H36 | — | [ ,
46.03 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012921 | 362.50,H35.3 | — | [ ,
45.81 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012936 | 362,G45.3, H31.11, H33.2, H34, H35, H36 | — | [ ,
46.03 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS011364 | — | — | 56,192 individuals | — | European | — | UKB | — |
| PSS007969 | — | — | 1,773 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS007970 | — | — | 1,775 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS007971 | — | — | 1,783 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS007972 | — | — | 1,810 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS007973 | — | — | 1,779 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS012937 | 362,G45.3, H31.11, H33.2, H34, H35, H36 | — | [ ,
46.03 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012938 | 365.01, 365.1,H40.01, H40.02, H40.1 | — | [ ,
46.0 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012939 | 365.01, 365.1,H40.01, H40.02, H40.1 | — | [ ,
46.0 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS010980 | — | — | 4,797 individuals | — | European | — | NR | GCAT |
| PSS012940 | 365.01, 365.1,H40.01, H40.02, H40.1 | — | [ ,
46.0 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012922 | 362.50,H35.3 | — | [ ,
45.81 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012941 | 365.01, 365.1,H40.01, H40.02, H40.1 | — | [ ,
46.0 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS001065 | All individuals had type 2 diabetes (T2D). Cases were individuals with diabetic retinopathy (DR). T2D was ascertained with ICD-10 from E11.0-E11.9. DR was ascertained with an ICD-10 of E11.3. | — | [
|
— | African American or Afro-Caribbean | — | BioMe | — |
| PSS001066 | All individuals had type 2 diabetes (T2D). Cases were individuals with diabetic retinopathy (DR). T2D was ascertained with ICD-10 from E11.0-E11.9. DR was ascertained with an ICD-10 of E11.3. | — | [
|
— | European | — | BioMe | — |
| PSS001067 | All individuals had type 2 diabetes (T2D). Cases were individuals with diabetic retinopathy (DR). T2D was ascertained with ICD-10 from E11.0-E11.9. DR was ascertained with an ICD-10 of E11.3. | — | [
|
— | European | — | BioMe | — |
| PSS001067 | All individuals had type 2 diabetes (T2D). Cases were individuals with diabetic retinopathy (DR). T2D was ascertained with ICD-10 from E11.0-E11.9. DR was ascertained with an ICD-10 of E11.3. | — | [
|
— | African American or Afro-Caribbean | — | BioMe | — |
| PSS001067 | All individuals had type 2 diabetes (T2D). Cases were individuals with diabetic retinopathy (DR). T2D was ascertained with ICD-10 from E11.0-E11.9. DR was ascertained with an ICD-10 of E11.3. | — | [
|
— | Hispanic or Latin American | — | BioMe | — |
| PSS001067 | All individuals had type 2 diabetes (T2D). Cases were individuals with diabetic retinopathy (DR). T2D was ascertained with ICD-10 from E11.0-E11.9. DR was ascertained with an ICD-10 of E11.3. | — | [
|
— | Asian unspecified, Native American, NR | — | BioMe | — |
| PSS012942 | 365.01, 365.1,H40.01, H40.02, H40.1 | — | [ ,
46.0 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012943 | 365,H40, H42 | — | [ ,
45.99 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012944 | 365,H40, H42 | — | [ ,
45.99 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012945 | 365,H40, H42 | — | [ ,
45.99 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012923 | 362.5,H35.3 | — | [ ,
45.8 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012946 | 365,H40, H42 | — | [ ,
45.99 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012947 | 365,H40, H42 | — | [ ,
45.99 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012948 | 366, 998.82, V43.1, V45.61,E08.36, E09.36, E10.36, E11.36, H25, H26, H28, H59.02, Z96.1, Z98.4 | — | [ ,
46.06 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012949 | 366, 998.82, V43.1, V45.61,E08.36, E09.36, E10.36, E11.36, H25, H26, H28, H59.02, Z96.1, Z98.4 | — | [ ,
46.06 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS009063 | — | — | 4,032 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS011398 | ICD-9-CM codes 362.51 or 362.52; ICD-10-CM codes H35.31 or H35.32 | — | [ ,
97.0 % Male samples |
— | European | — | MVP | — |
| PSS011837 | — | — | 429 individuals | — | European | — | PROGRESSA | — |
| PSS011837 | — | — | 5 individuals | — | Asian unspecified | — | PROGRESSA | — |
| PSS011837 | — | — | 1 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | — | PROGRESSA | — |
| PSS011837 | — | — | 1 individuals | — | Hispanic or Latin American | — | PROGRESSA | — |
| PSS011837 | — | — | 19 individuals | — | Not reported | — | PROGRESSA | — |
| PSS009077 | — | — | 4,055 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009078 | — | — | 4,043 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS001084 | Moderate Age-Related Diabetes (MARD) vs. controls | — | [
|
— | European | Swedish | ANDIS | — |
| PSS001085 | Moderate Obesity-related Diabetes (MOD) vs. controls | — | [
|
— | European | Swedish | ANDIS | — |
| PSS001086 | Severe Autoimmune Diabetes (SAID) vs. controls | — | [
|
— | European | Swedish | ANDIS | — |
| PSS001087 | Severe Insulin-Deficient Diabetes (SIDD) vs. controls | — | [
|
— | European | Swedish | ANDIS | — |
| PSS001088 | Severe Insulin-Resistant Diabetes (SIRD) vs. controls | — | [
|
— | European | Swedish | ANDIS | — |
| PSS009079 | — | — | 4,029 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009080 | — | — | 4,066 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS011408 | — | — | 903 individuals, 42.7 % Male samples |
— | European | — | ANZRAG | — |
| PSS009082 | — | — | 4,069 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS011776 | — | — | 784 individuals | — | Hispanic or Latin American | — | UKB | — |
| PSS011776 | — | — | 9,099 individuals | — | East Asian, South Asian | — | UKB | — |
| PSS011776 | — | — | 390,046 individuals | — | European | — | UKB | — |
| PSS011777 | — | — | 44,411 individuals | — | African unspecified, Hispanic or Latin American, East Asian, South Asian, European | — | UKB | — |
| PSS011778 | — | — | 37,818 individuals | — | African unspecified, Hispanic or Latin American, East Asian, South Asian, European | — | UKB | — |
| PSS000977 | Cases, classified by fellowship-trained glaucoma specialists were defined as having an open iridocorneal angle and characteristic optic nerve defects with corresponding visual field loss, whereas controls, classified by fellowship-trained glaucoma specialists exhibited a lack of confounding ocular conditions. | — | [ ,
36.4 % Male samples |
— | African American or Afro-Caribbean, African unspecified | — | POAAGG | — |
| PSS000978 | Cases, classified by fellowship-trained glaucoma specialists were defined as having an open iridocorneal angle and characteristic optic nerve defects with corresponding visual field loss, whereas controls, classified by fellowship-trained glaucoma specialists exhibited a lack of confounding ocular conditions. | — | [
|
— | African American or Afro-Caribbean, African unspecified | — | POAAGG | — |
| PSS012968 | 364,H21, H22 | — | [ ,
47.72 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS008617 | — | — | 6,465 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS012908 | 361,H33.0, H33.1, H33.2, H33.3, H33.4, H33.8 | — | [ ,
45.97 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012909 | 361,H33.0, H33.1, H33.2, H33.3, H33.4, H33.8 | — | [ ,
45.97 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012910 | 361,H33.0, H33.1, H33.2, H33.3, H33.4, H33.8 | — | [ ,
45.97 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012911 | 361,H33.0, H33.1, H33.2, H33.3, H33.4, H33.8 | — | [ ,
45.97 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS008631 | — | — | 6,514 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008632 | — | — | 6,470 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008633 | — | — | 6,462 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008634 | — | — | 6,540 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008635 | — | — | 6,660 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008636 | — | — | 6,561 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS012912 | 361,H33.0, H33.1, H33.2, H33.3, H33.4, H33.8 | — | [ ,
45.97 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS004662 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004663 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004664 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004665 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004666 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS012924 | 362.5,H35.3 | — | [ ,
45.8 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |