Publication Information (EuropePMC) | |
Title | Multitrait analysis of glaucoma identifies new risk loci and enables polygenic prediction of disease susceptibility and progression. |
PubMed ID | 31959993(Europe PMC) |
doi | 10.1038/s41588-019-0556-y |
Publication Date | Jan. 20, 2020 |
Journal | Nat Genet |
Author(s) | Craig JE, Han X, Qassim A, Hassall M, Cooke Bailey JN, Kinzy TG, Khawaja AP, An J, Marshall H, Gharahkhani P, Igo RP, Graham SL, Healey PR, Ong JS, Zhou T, Siggs O, Law MH, Souzeau E, Ridge B, Hysi PG, Burdon KP, Mills RA, Landers J, Ruddle JB, Agar A, Galanopoulos A, White AJR, Willoughby CE, Andrew NH, Best S, Vincent AL, Goldberg I, Radford-Smith G, Martin NG, Montgomery GW, Vitart V, Hoehn R, Wojciechowski R, Jonas JB, Aung T, Pasquale LR, Cree AJ, Sivaprasad S, Vallabh NA, NEIGHBORHOOD consortium, UK Biobank Eye and Vision Consortium, Viswanathan AC, Pasutto F, Haines JL, Klaver CCW, van Duijn CM, Casson RJ, Foster PJ, Khaw PT, Hammond CJ, Mackey DA, Mitchell P, Lotery AJ, Wiggs JL, Hewitt AW, MacGregor S. |
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 |
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] | — | — | — |
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 |
---|---|---|---|---|---|---|---|---|
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 | — |