Publication Information (EuropePMC) | |
Title | Polygenic analysis of the effect of common and low-frequency genetic variants on serum uric acid levels in Korean individuals. |
PubMed ID | 32514006(Europe PMC) |
doi | 10.1038/s41598-020-66064-z |
Publication Date | June 8, 2020 |
Journal | Sci Rep |
Author(s) | Cho SK, Kim B, Myung W, Chang Y, Ryu S, Kim HN, Kim HL, Kuo PH, Winkler CA, Won HH. |
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) |
---|---|---|---|---|---|---|
PGS000755 (PRS_SUA) |
PGP000161 | Cho SK et al. Sci Rep (2020) |
Serum uric acid levels | uric acid measurement | 14 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000755/ScoringFiles/PGS000755.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 |
---|---|---|---|---|---|---|---|---|---|
PPM001923 | PGS000755 (PRS_SUA) |
PSS000964| East Asian Ancestry| 1,167 individuals |
PGP000161 | Cho SK et al. Sci Rep (2020) |
Reported Trait: Serum uric acid levels | β: 0.237 (0.033) | — | — | Sex, age, BMI, eGFR, diabetes, hypertension, hyperlipidaemia, systolic blood pressure, total cholesterol, HDL cholesterol, triglycerides | Only 11 of the 14 SNPs were utilised within the polygenic score |
PPM001924 | PGS000755 (PRS_SUA) |
PSS000965| East Asian Ancestry| 2,027 individuals |
PGP000161 | Cho SK et al. Sci Rep (2020) |
Reported Trait: Serum uric acid levels | β: 0.211 (0.022) | — | — | Sex, age, BMI, eGFR, diabetes, hypertension, hyperlipidaemia, systolic blood pressure, total cholesterol, HDL cholesterol, triglycerides | Only 13 of the 14 SNPs were utilised within the polygenic score |
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 |
---|---|---|---|---|---|---|---|---|
PSS000964 | — | — | 1,167 individuals, 40.19 % Male samples |
Mean = 64.61 years Sd = 8.26 years |
East Asian (Korean) |
— | KoGES | — |
PSS000965 | — | — | 2,027 individuals, 56.14 % Male samples |
Mean = 39.35 years Sd = 8.87 years |
East Asian (Korean) |
— | NR | — |