PGS Publication: PGP000161

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.
Released in PGS Catalog: April 7, 2021

Associated Polygenic Score(s)

Filter PGS by Participant Ancestry
Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
List of ancestries includes:
Display options:
Ancestry legend
Multi-ancestry (including European)
Multi-ancestry (excluding European)
African
East Asian
South Asian
Additional Asian Ancestries
European
Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported

PGS Developed By This Publication

Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution 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

Performance Metrics

Disclaimer: The performance metrics are displayed as reported by the source studies. It is important to note that metrics are not necessarily comparable with each other. For example, metrics depend on the sample characteristics (described by the PGS Catalog Sample Set [PSS] ID), phenotyping, and statistical modelling. Please refer to the source publication for additional guidance on performance.

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

Evaluated Samples

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