| Trait Information | |
| Identifier | MONDO_0024417 |
| Description | Cognitive disorders characterized by an impaired ability to perceive the nature of objects or concepts through use of the sense organs. These include spatial neglect syndromes, where an individual does not attend to visual, auditory, or sensory stimuli presented from one side of the body. [MESH: D010468] | Trait category |
Other trait
|
| Child trait(s) | 8 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) |
|---|---|---|---|---|---|---|
| PGS000762 (PRS_HD) |
PGP000165 | Cherny SS et al. Eur J Hum Genet (2020) |
Hearing difficulty | presbycusis | 100,325 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000762/ScoringFiles/PGS000762.txt.gz |
| PGS000763 (PRS_HAID) |
PGP000165 | Cherny SS et al. Eur J Hum Genet (2020) |
Hearing aid use | presbycusis | 4,270 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000763/ScoringFiles/PGS000763.txt.gz |
| PGS001252 (GBE_BIN_FC3002247) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Hearing difficulty and deafness | deafness, hearing loss disorder |
3,731 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001252/ScoringFiles/PGS001252.txt.gz |
| PGS001253 (GBE_BIN_FC1002247) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Hearing difficulty | hearing loss disorder | 3,098 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001253/ScoringFiles/PGS001253.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 |
| PGS001891 (portability-PLR_bad_hearing) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Hearing difficulty/problems | hearing disorder | 19,960 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001891/ScoringFiles/PGS001891.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 |
| PGS002104 (portability-ldpred2_bad_hearing) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Hearing difficulty/problems | hearing disorder | 869,179 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002104/ScoringFiles/PGS002104.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 |
| 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 |
| 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 |
| PGS018414 (pgshl) |
PGP000832 | Miao DNR et al. Hum Genomics (2024) |
Hearing loss (HL) | hearing loss disorder | 2,370,365 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018414/ScoringFiles/PGS018414.txt.gz |
| PGS019081 (TPMI_386_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Vertiginous syndromes and other disorders of vestibular system | vestibular disorder | 125,242 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019081/ScoringFiles/PGS019081.txt.gz | |
| PGS019082 (TPMI_386_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Vertiginous syndromes and other disorders of vestibular system | vestibular disorder | 939,898 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019082/ScoringFiles/PGS019082.txt.gz | |
| PGS019083 (TPMI_386_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Vertiginous syndromes and other disorders of vestibular system | vestibular disorder | 22,265 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019083/ScoringFiles/PGS019083.txt.gz | |
| PGS019084 (TPMI_386_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Vertiginous syndromes and other disorders of vestibular system | vestibular disorder | 983,829 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019084/ScoringFiles/PGS019084.txt.gz | |
| PGS019085 (TPMI_386_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Vertiginous syndromes and other disorders of vestibular system | vestibular disorder | 914,097 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019085/ScoringFiles/PGS019085.txt.gz | |
| PGS019086 (TPMI_386.1_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Menieres disease | Meniere disease | 802,789 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019086/ScoringFiles/PGS019086.txt.gz | |
| PGS019087 (TPMI_386.1_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Menieres disease | Meniere disease | 939,888 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019087/ScoringFiles/PGS019087.txt.gz | |
| PGS019088 (TPMI_386.1_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Menieres disease | Meniere disease | 23,220 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019088/ScoringFiles/PGS019088.txt.gz | |
| PGS019089 (TPMI_386.1_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Menieres disease | Meniere disease | 983,823 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019089/ScoringFiles/PGS019089.txt.gz | |
| PGS019090 (TPMI_386.1_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Menieres disease | Meniere disease | 987,552 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019090/ScoringFiles/PGS019090.txt.gz | |
| PGS019111 (TPMI_389_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Hearing loss | hearing loss disorder | 409,744 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019111/ScoringFiles/PGS019111.txt.gz | |
| PGS019112 (TPMI_389_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Hearing loss | hearing loss disorder | 939,885 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019112/ScoringFiles/PGS019112.txt.gz | |
| PGS019113 (TPMI_389_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Hearing loss | hearing loss disorder | 531,934 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019113/ScoringFiles/PGS019113.txt.gz | |
| PGS019114 (TPMI_389_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Hearing loss | hearing loss disorder | 983,822 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019114/ScoringFiles/PGS019114.txt.gz | |
| PGS019115 (TPMI_389_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Hearing loss | hearing loss disorder | 928,045 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019115/ScoringFiles/PGS019115.txt.gz | |
| PGS019116 (TPMI_389.1_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Sensorineural hearing loss | sensorineural hearing loss disorder | 697,131 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019116/ScoringFiles/PGS019116.txt.gz | |
| PGS019117 (TPMI_389.1_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Sensorineural hearing loss | sensorineural hearing loss disorder | 939,879 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019117/ScoringFiles/PGS019117.txt.gz | |
| PGS019118 (TPMI_389.1_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Sensorineural hearing loss | sensorineural hearing loss disorder | 23,594 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019118/ScoringFiles/PGS019118.txt.gz | |
| PGS019119 (TPMI_389.1_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Sensorineural hearing loss | sensorineural hearing loss disorder | 983,819 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019119/ScoringFiles/PGS019119.txt.gz | |
| PGS019120 (TPMI_389.1_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Sensorineural hearing loss | sensorineural hearing loss disorder | 976,192 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019120/ScoringFiles/PGS019120.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 |
|---|---|---|---|---|---|---|---|---|---|
| PPM001938 | PGS000762 (PRS_HD) |
PSS000972| European Ancestry| 3,636 individuals |
PGP000165 | Cherny SS et al. Eur J Hum Genet (2020) |
Reported Trait: Hearing difficulties | — | — | R²: 0.0911 | Age, sex | — |
| PPM001937 | PGS000763 (PRS_HAID) |
PSS000971| European Ancestry| 2,912 individuals |
PGP000165 | Cherny SS et al. Eur J Hum Genet (2020) |
Reported Trait: Hearing aid use | — | — | R²: 0.1923 | Age, sex | — |
| PPM008769 | PGS001252 (GBE_BIN_FC3002247) |
PSS003899| African Ancestry| 6,123 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hearing difficulty and Deafness | — | AUROC: 0.58635 [0.56411, 0.60859] | R²: 0.01752 Incremental AUROC (full-covars): -0.00041 PGS R2 (no covariates): 0.00138 PGS AUROC (no covariates): 0.52307 [0.50054, 0.54561] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008770 | PGS001252 (GBE_BIN_FC3002247) |
PSS003900| East Asian Ancestry| 1,568 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hearing difficulty and Deafness | — | AUROC: 0.62777 [0.58865, 0.66688] | R²: 0.04973 Incremental AUROC (full-covars): 0.00284 PGS R2 (no covariates): 0.00305 PGS AUROC (no covariates): 0.53516 [0.49316, 0.57716] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008771 | PGS001252 (GBE_BIN_FC3002247) |
PSS003901| European Ancestry| 23,697 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hearing difficulty and Deafness | — | AUROC: 0.62252 [0.61446, 0.63058] | R²: 0.05132 Incremental AUROC (full-covars): 0.00531 PGS R2 (no covariates): 0.00527 PGS AUROC (no covariates): 0.53867 [0.53034, 0.54699] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008772 | PGS001252 (GBE_BIN_FC3002247) |
PSS003902| South Asian Ancestry| 7,266 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hearing difficulty and Deafness | — | AUROC: 0.61586 [0.5994, 0.63232] | R²: 0.04282 Incremental AUROC (full-covars): 0.00304 PGS R2 (no covariates): 0.00345 PGS AUROC (no covariates): 0.53204 [0.5154, 0.54867] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008773 | PGS001252 (GBE_BIN_FC3002247) |
PSS003903| European Ancestry| 65,065 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hearing difficulty and Deafness | — | AUROC: 0.62548 [0.62074, 0.63023] | R²: 0.05558 Incremental AUROC (full-covars): 0.00728 PGS R2 (no covariates): 0.00646 PGS AUROC (no covariates): 0.54216 [0.53723, 0.54709] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008774 | PGS001253 (GBE_BIN_FC1002247) |
PSS003755| African Ancestry| 6,121 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hearing difficulty | — | AUROC: 0.58714 [0.56491, 0.60938] | R²: 0.01786 Incremental AUROC (full-covars): 0.00082 PGS R2 (no covariates): 0.00162 PGS AUROC (no covariates): 0.52504 [0.50255, 0.54753] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008775 | PGS001253 (GBE_BIN_FC1002247) |
PSS003756| East Asian Ancestry| 1,568 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hearing difficulty | — | AUROC: 0.62831 [0.58912, 0.6675] | R²: 0.04992 Incremental AUROC (full-covars): 0.00338 PGS R2 (no covariates): 0.003 PGS AUROC (no covariates): 0.53605 [0.49383, 0.57827] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008776 | PGS001253 (GBE_BIN_FC1002247) |
PSS003757| European Ancestry| 23,689 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hearing difficulty | — | AUROC: 0.62276 [0.6147, 0.63082] | R²: 0.0516 Incremental AUROC (full-covars): 0.00532 PGS R2 (no covariates): 0.00515 PGS AUROC (no covariates): 0.53825 [0.52992, 0.54658] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008777 | PGS001253 (GBE_BIN_FC1002247) |
PSS003758| South Asian Ancestry| 7,257 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hearing difficulty | — | AUROC: 0.61668 [0.60019, 0.63317] | R²: 0.04334 Incremental AUROC (full-covars): 0.00291 PGS R2 (no covariates): 0.00324 PGS AUROC (no covariates): 0.53126 [0.51459, 0.54793] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008778 | PGS001253 (GBE_BIN_FC1002247) |
PSS003759| European Ancestry| 65,054 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hearing difficulty | — | AUROC: 0.62552 [0.62077, 0.63026] | R²: 0.05561 Incremental AUROC (full-covars): 0.00726 PGS R2 (no covariates): 0.00632 PGS AUROC (no covariates): 0.54175 [0.53682, 0.54668] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| 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 | — |
| PPM010013 | PGS001891 (portability-PLR_bad_hearing) |
PSS009161| European Ancestry| 3,907 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hearing difficulty/problems | — | — | Partial Correlation (partial-r): 0.0758 [0.0445, 0.107] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010014 | PGS001891 (portability-PLR_bad_hearing) |
PSS008715| European Ancestry| 6,265 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hearing difficulty/problems | — | — | Partial Correlation (partial-r): 0.0537 [0.0289, 0.0784] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010015 | PGS001891 (portability-PLR_bad_hearing) |
PSS008489| Greater Middle Eastern Ancestry| 1,089 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hearing difficulty/problems | — | — | Partial Correlation (partial-r): 0.0251 [-0.0349, 0.0849] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010016 | PGS001891 (portability-PLR_bad_hearing) |
PSS008267| South Asian Ancestry| 5,858 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hearing difficulty/problems | — | — | Partial Correlation (partial-r): 0.0738 [0.0482, 0.0993] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010017 | PGS001891 (portability-PLR_bad_hearing) |
PSS008045| East Asian Ancestry| 1,684 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hearing difficulty/problems | — | — | Partial Correlation (partial-r): 0.0734 [0.0254, 0.121] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010018 | PGS001891 (portability-PLR_bad_hearing) |
PSS007831| African Ancestry| 2,325 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hearing difficulty/problems | — | — | Partial Correlation (partial-r): 0.0133 [-0.0275, 0.0541] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010019 | PGS001891 (portability-PLR_bad_hearing) |
PSS008935| African Ancestry| 3,691 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hearing difficulty/problems | — | — | Partial Correlation (partial-r): 0.011 [-0.0213, 0.0434] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010012 | PGS001891 (portability-PLR_bad_hearing) |
PSS009387| European Ancestry| 19,161 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hearing difficulty/problems | — | — | Partial Correlation (partial-r): 0.0921 [0.0781, 0.1062] | 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 | — |
| PPM011688 | PGS002104 (portability-ldpred2_bad_hearing) |
PSS009387| European Ancestry| 19,161 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hearing difficulty/problems | — | — | Partial Correlation (partial-r): 0.1065 [0.0925, 0.1205] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011689 | PGS002104 (portability-ldpred2_bad_hearing) |
PSS009161| European Ancestry| 3,907 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hearing difficulty/problems | — | — | Partial Correlation (partial-r): 0.0785 [0.0471, 0.1096] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011690 | PGS002104 (portability-ldpred2_bad_hearing) |
PSS008715| European Ancestry| 6,265 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hearing difficulty/problems | — | — | Partial Correlation (partial-r): 0.0784 [0.0537, 0.103] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011691 | PGS002104 (portability-ldpred2_bad_hearing) |
PSS008489| Greater Middle Eastern Ancestry| 1,089 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hearing difficulty/problems | — | — | Partial Correlation (partial-r): 0.0425 [-0.0175, 0.1022] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011692 | PGS002104 (portability-ldpred2_bad_hearing) |
PSS008267| South Asian Ancestry| 5,858 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hearing difficulty/problems | — | — | Partial Correlation (partial-r): 0.0702 [0.0446, 0.0956] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011693 | PGS002104 (portability-ldpred2_bad_hearing) |
PSS008045| East Asian Ancestry| 1,684 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hearing difficulty/problems | — | — | Partial Correlation (partial-r): 0.0612 [0.0132, 0.1089] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011695 | PGS002104 (portability-ldpred2_bad_hearing) |
PSS008935| African Ancestry| 3,691 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hearing difficulty/problems | — | — | Partial Correlation (partial-r): 0.0136 [-0.0187, 0.046] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011694 | PGS002104 (portability-ldpred2_bad_hearing) |
PSS007831| African Ancestry| 2,325 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hearing difficulty/problems | — | — | Partial Correlation (partial-r): -0.0054 [-0.0462, 0.0354] | 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 | — |
| 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 | — |
| 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 | — |
| PPM036591 | PGS018414 (pgshl) |
PSS012317| Multi-ancestry (including European)| 390 individuals |
PGP000832 | Miao DNR et al. Hum Genomics (2024) |
Reported Trait: cisplatin-induced ototoxicity | — | — | R²: 0.023 p-value: 0.00293 |
— | — |
| PPM036593 | PGS018414 (pgshl) |
PSS012318| Ancestry Not Reported| 238 individuals |
PGP000832 | Miao DNR et al. Hum Genomics (2024) |
Reported Trait: cisplatin-induced ototoxicity | — | — | R²: 0.006 p-value: 0.52 |
age at diagnosis , protocol (SJMB96 or SJMB03) , 10 principal components , craniospinal irradiation dose (CSI dose)*score | — |
| PPM037263 | PGS019081 (TPMI_386_Lassosum2) |
PSS013009| East Asian Ancestry| 19,232 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Vertiginous syndromes and other disorders of vestibular system | — | AUROC: 0.59319 | R²: 0.03898 | sex, age, array, PCs 1-10 | — |
| PPM037264 | PGS019082 (TPMI_386_LDpred2) |
PSS013008| East Asian Ancestry| 19,232 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Vertiginous syndromes and other disorders of vestibular system | — | AUROC: 0.59425 | R²: 0.04012 | sex, age, array, PCs 1-10 | — |
| PPM037265 | PGS019083 (TPMI_386_MegaPRS) |
PSS013010| East Asian Ancestry| 19,232 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Vertiginous syndromes and other disorders of vestibular system | — | AUROC: 0.59217 | R²: 0.03816 | sex, age, array, PCs 1-10 | — |
| PPM037266 | PGS019084 (TPMI_386_PRS-CS) |
PSS013011| East Asian Ancestry| 19,232 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Vertiginous syndromes and other disorders of vestibular system | — | AUROC: 0.5934 | R²: 0.0392 | sex, age, array, PCs 1-10 | — |
| PPM037267 | PGS019085 (TPMI_386_SBayesR) |
PSS013012| East Asian Ancestry| 19,232 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Vertiginous syndromes and other disorders of vestibular system | — | AUROC: 0.59204 | R²: 0.03809 | sex, age, array, PCs 1-10 | — |
| PPM037268 | PGS019086 (TPMI_386.1_Lassosum2) |
PSS012984| East Asian Ancestry| 17,579 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Menieres disease | — | AUROC: 0.61707 | R²: 0.01248 | sex, age, array, PCs 1-10 | — |
| PPM037269 | PGS019087 (TPMI_386.1_LDpred2) |
PSS012983| East Asian Ancestry| 17,579 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Menieres disease | — | AUROC: 0.61731 | R²: 0.01262 | sex, age, array, PCs 1-10 | — |
| PPM037270 | PGS019088 (TPMI_386.1_MegaPRS) |
PSS012985| East Asian Ancestry| 17,579 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Menieres disease | — | AUROC: 0.61749 | R²: 0.01255 | sex, age, array, PCs 1-10 | — |
| PPM037271 | PGS019089 (TPMI_386.1_PRS-CS) |
PSS012986| East Asian Ancestry| 17,579 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Menieres disease | — | AUROC: 0.61682 | R²: 0.01254 | sex, age, array, PCs 1-10 | — |
| PPM037272 | PGS019090 (TPMI_386.1_SBayesR) |
PSS012987| East Asian Ancestry| 17,579 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Menieres disease | — | AUROC: 0.61747 | R²: 0.01243 | sex, age, array, PCs 1-10 | — |
| PPM037293 | PGS019111 (TPMI_389_Lassosum2) |
PSS013024| East Asian Ancestry| 19,259 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Hearing loss | — | AUROC: 0.5933 | R²: 0.02351 | sex, age, array, PCs 1-10 | — |
| PPM037294 | PGS019112 (TPMI_389_LDpred2) |
PSS013023| East Asian Ancestry| 19,259 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Hearing loss | — | AUROC: 0.59236 | R²: 0.02335 | sex, age, array, PCs 1-10 | — |
| PPM037295 | PGS019113 (TPMI_389_MegaPRS) |
PSS013025| East Asian Ancestry| 19,259 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Hearing loss | — | AUROC: 0.58885 | R²: 0.0216 | sex, age, array, PCs 1-10 | — |
| PPM037296 | PGS019114 (TPMI_389_PRS-CS) |
PSS013026| East Asian Ancestry| 19,259 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Hearing loss | — | AUROC: 0.59015 | R²: 0.02245 | sex, age, array, PCs 1-10 | — |
| PPM037297 | PGS019115 (TPMI_389_SBayesR) |
PSS013027| East Asian Ancestry| 19,259 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Hearing loss | — | AUROC: 0.58585 | R²: 0.02066 | sex, age, array, PCs 1-10 | — |
| PPM037298 | PGS019116 (TPMI_389.1_Lassosum2) |
PSS013014| East Asian Ancestry| 18,218 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Sensorineural hearing loss | — | AUROC: 0.60128 | R²: 0.00481 | sex, age, array, PCs 1-10 | — |
| PPM037299 | PGS019117 (TPMI_389.1_LDpred2) |
PSS013013| East Asian Ancestry| 18,218 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Sensorineural hearing loss | — | AUROC: 0.60384 | R²: 0.00487 | sex, age, array, PCs 1-10 | — |
| PPM037300 | PGS019118 (TPMI_389.1_MegaPRS) |
PSS013015| East Asian Ancestry| 18,218 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Sensorineural hearing loss | — | AUROC: 0.60145 | R²: 0.00461 | sex, age, array, PCs 1-10 | — |
| PPM037301 | PGS019119 (TPMI_389.1_PRS-CS) |
PSS013016| East Asian Ancestry| 18,218 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Sensorineural hearing loss | — | AUROC: 0.59978 | R²: 0.0048 | sex, age, array, PCs 1-10 | — |
| PPM037302 | PGS019120 (TPMI_389.1_SBayesR) |
PSS013017| East Asian Ancestry| 18,218 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Sensorineural hearing loss | — | AUROC: 0.59804 | R²: 0.00448 | 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 |
|---|---|---|---|---|---|---|---|---|
| PSS003900 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS003901 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS003902 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS003903 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS007752 | — | — | 2,374 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS009161 | — | — | 3,907 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS008267 | — | — | 5,858 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008406 | — | — | 1,165 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS009304 | — | — | 19,413 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS008935 | — | — | 3,691 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS011783 | — | — | [
|
— | European | — | AugUR | — |
| PSS008045 | — | — | 1,684 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS011784 | — | — | [
|
— | European | — | AugUR | — |
| PSS011785 | — | — | [
|
— | European | — | AugUR | — |
| PSS011786 | — | — | [
|
— | European | — | AugUR | — |
| 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 | — |
| PSS011787 | — | — | [
|
— | European | — | AugUR | — |
| PSS011788 | — | — | [
|
— | European | — | AugUR | — |
| PSS009078 | — | — | 4,043 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS008186 | — | — | 6,037 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS012983 | 386.0,H81.0, H81.31, H81.39 | — | [ ,
47.0 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012984 | 386.0,H81.0, H81.31, H81.39 | — | [ ,
47.0 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012985 | 386.0,H81.0, H81.31, H81.39 | — | [ ,
47.0 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012986 | 386.0,H81.0, H81.31, H81.39 | — | [ ,
47.0 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012987 | 386.0,H81.0, H81.31, H81.39 | — | [ ,
47.0 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS000971 | Hearing aid use cases responded ‘Yes’ to either ‘Do you wear a hearing aid?’ or ‘Wearing a hearing aid’ while controls responded ‘No’. | — | [ ,
8.0 % Male samples |
Mean = 59.32 years Sd = 9.69 years |
European (British) |
— | TwinsUK | — |
| PSS000972 | Hearing difficulty cases were defined as responding either ‘Yes, diagnosed by doctor or health professional’ or ‘Yes, not diagnosed by health professional’ to ‘Do you suffer from hearing loss?’ while participants that responded ‘No’ were assigned as controls. | — | [ ,
8.5 % Male samples |
Mean = 60.34 years Sd = 10.18 years |
European (British) |
— | TwinsUK | — |
| PSS008715 | — | — | 6,265 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS007831 | — | — | 2,325 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS008856 | — | — | 3,723 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS013009 | 386, 780.4,H81, H82, H83.0, H83.1, H83.2, H83.9, R42 | — | [ ,
46.3 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013008 | 386, 780.4,H81, H82, H83.0, H83.1, H83.2, H83.9, R42 | — | [ ,
46.3 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013010 | 386, 780.4,H81, H82, H83.0, H83.1, H83.2, H83.9, R42 | — | [ ,
46.3 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013011 | 386, 780.4,H81, H82, H83.0, H83.1, H83.2, H83.9, R42 | — | [ ,
46.3 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013012 | 386, 780.4,H81, H82, H83.0, H83.1, H83.2, H83.9, R42 | — | [ ,
46.3 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013014 | 389.1,H90.3, H90.4, H90.5, H90.A2, H90.A21, H90.A22 | — | [ ,
46.26 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS012317 | — | — | [ ,
46.0 % Male samples |
— | African American or Afro-Caribbean, European, Hispanic or Latin American | 92% European and 8% non-European ancestry (African-American/African-Caribbean and Latin American) | PCL | — |
| PSS012318 | — | — | [ ,
62.0 % Male samples |
— | Not reported | — | NR | — |
| PSS013013 | 389.1,H90.3, H90.4, H90.5, H90.A2, H90.A21, H90.A22 | — | [ ,
46.26 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS007970 | — | — | 1,775 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS013015 | 389.1,H90.3, H90.4, H90.5, H90.A2, H90.A21, H90.A22 | — | [ ,
46.26 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013016 | 389.1,H90.3, H90.4, H90.5, H90.A2, H90.A21, H90.A22 | — | [ ,
46.26 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013017 | 389.1,H90.3, H90.4, H90.5, H90.A2, H90.A21, H90.A22 | — | [ ,
46.26 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013023 | 388.0, 388.1, 388.2, 388.3, 388.4, 388.5, 389, 794.15, V41.2, V49.85, V53.2,H83.3, H90, H91, H93.0, H93.1, H93.2, H93.3, H93.A, H93.A1, H93.A2, H93.A3, H93.A9, H94.0, R94.120, Z96.2, Z97.4 | — | [ ,
46.08 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013024 | 388.0, 388.1, 388.2, 388.3, 388.4, 388.5, 389, 794.15, V41.2, V49.85, V53.2,H83.3, H90, H91, H93.0, H93.1, H93.2, H93.3, H93.A, H93.A1, H93.A2, H93.A3, H93.A9, H94.0, R94.120, Z96.2, Z97.4 | — | [ ,
46.08 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013025 | 388.0, 388.1, 388.2, 388.3, 388.4, 388.5, 389, 794.15, V41.2, V49.85, V53.2,H83.3, H90, H91, H93.0, H93.1, H93.2, H93.3, H93.A, H93.A1, H93.A2, H93.A3, H93.A9, H94.0, R94.120, Z96.2, Z97.4 | — | [ ,
46.08 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS008489 | — | — | 1,089 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS013026 | 388.0, 388.1, 388.2, 388.3, 388.4, 388.5, 389, 794.15, V41.2, V49.85, V53.2,H83.3, H90, H91, H93.0, H93.1, H93.2, H93.3, H93.A, H93.A1, H93.A2, H93.A3, H93.A9, H94.0, R94.120, Z96.2, Z97.4 | — | [ ,
46.08 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS009387 | — | — | 19,161 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS013027 | 388.0, 388.1, 388.2, 388.3, 388.4, 388.5, 389, 794.15, V41.2, V49.85, V53.2,H83.3, H90, H91, H93.0, H93.1, H93.2, H93.3, H93.A, H93.A1, H93.A2, H93.A3, H93.A9, H94.0, R94.120, Z96.2, Z97.4 | — | [ ,
46.08 % 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 | — |
| PSS003755 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS003756 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS003757 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS003758 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS003759 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS008632 | — | — | 6,470 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS003899 | — | — | [
|
— | African unspecified | — | UKB | — |