Publication Information (EuropePMC) | |
Title | A Polygenic Risk Score for Predicting Racial and Genetic Susceptibility to Prurigo Nodularis. |
PubMed ID | 37245863(Europe PMC) |
doi | 10.1016/j.jid.2023.04.033 |
Publication Date | May 26, 2023 |
Journal | J Invest Dermatol |
Author(s) | Vasavda C, Wan G, Szeto MD, Marani M, Sutaria N, Rajeh A, Lu C, Lee KK, Nguyen NTT, Adawi W, Deng J, Parthasarathy V, Bordeaux ZA, Taylor MT, Alphonse MP, Kwatra MM, Kang S, Semenov YR, Gusev A, Kwatra SG. |
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) |
---|---|---|---|---|---|---|
PGS004324 (PRS6314_PN) |
PGP000558 | Vasavda C et al. J Invest Dermatol (2023) |
Prurigo nodularis | prurigo nodularis | 6,314 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004324/ScoringFiles/PGS004324.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 |
---|---|---|---|---|---|---|---|---|---|
PPM020437 | PGS004324 (PRS6314_PN) |
PSS011361| European Ancestry| 405,582 individuals |
PGP000558 | Vasavda C et al. J Invest Dermatol (2023) |
Reported Trait: Prurigo nodularis | OR: 1.27 | — | — | race, age, and sex | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS011361 | — | — | [
|
— | European | — | UKB | — |