| Experimental Factor Ontology (EFO) Information | |
| Identifier | EFO_0004761 |
| Description | Is a quantification of uric acid, typically in blood. Uric acid is associated with gout, insulin resistance and cardivascular disease. | Trait category |
Cardiovascular measurement
|
| Synonyms |
2 synonyms
|
| Mapped term | SNOMEDCT:86228006 |
| 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 |
| PGS002290 (GRS10_PUA) |
PGP000318 | Gurung RL et al. J Clin Endocrinol Metab (2022) |
Uric acid level | uric acid measurement | 10 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002290/ScoringFiles/PGS002290.txt.gz |
| PGS019810 (TPMI_UA_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Uric acid, blood | uric acid measurement | 8,740 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019810/ScoringFiles/PGS019810.txt.gz | |
| PGS019834 (TPMI_UA_LDPred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Uric acid, blood | uric acid measurement | 939,771 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019834/ScoringFiles/PGS019834.txt.gz | |
| PGS019858 (TPMI_UA_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Uric acid, blood | uric acid measurement | 983,733 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019858/ScoringFiles/PGS019858.txt.gz | |
| PGS019882 (TPMI_UA_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Uric acid, blood | uric acid measurement | 1,006,403 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019882/ScoringFiles/PGS019882.txt.gz | |
| PGS019906 (TPMI_UA_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Uric acid, blood | uric acid measurement | 406,906 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019906/ScoringFiles/PGS019906.txt.gz | |
| PGS019918 (TPMI_UA_PRSmix+) |
PGP000835 | Chen HH et al. Nature (2025) |
Uric acid, blood | uric acid measurement | 1,071,434 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019918/ScoringFiles/PGS019918.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 |
| PPM013007 | PGS002290 (GRS10_PUA) |
PSS009644| East Asian Ancestry| 1,146 individuals |
PGP000318 | Gurung RL et al. J Clin Endocrinol Metab (2022) |
Reported Trait: Plasma uric acid level | β: 0.142 (0.025) | — | — | Age, sex | — |
| PPM013008 | PGS002290 (GRS10_PUA) |
PSS009644| East Asian Ancestry| 1,146 individuals |
PGP000318 | Gurung RL et al. J Clin Endocrinol Metab (2022) |
Reported Trait: Rapid decline in kidney function | OR: 1.12 [1.01, 1.24] | — | — | Age, sex, MI, HbA1c, diabetes duration, SBP, eGFR, ln uACR, RAS antagonist and Insulin usage (yes/no) | — |
| PPM037992 | PGS019810 (TPMI_UA_Lassosum2) |
PSS013805| East Asian Ancestry| 9,151 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Uric acid, blood | — | AUROC: 0.76454 | R²: 0.0666 | sex, age, array, PCs 1-10 | — |
| PPM038016 | PGS019834 (TPMI_UA_LDPred2) |
PSS013804| East Asian Ancestry| 9,151 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Uric acid, blood | — | AUROC: 0.65137 | R²: 0.07366 | sex, age, array, PCs 1-10 | — |
| PPM038040 | PGS019858 (TPMI_UA_PRS-CS) |
PSS013807| East Asian Ancestry| 9,151 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Uric acid, blood | — | — | R²: 0.07262 | sex, age, array, PCs 1-10 | — |
| PPM038064 | PGS019882 (TPMI_UA_SBayesR) |
PSS013809| East Asian Ancestry| 9,151 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Uric acid, blood | — | — | R²: 0.0641 | sex, age, array, PCs 1-10 | — |
| PPM038088 | PGS019906 (TPMI_UA_MegaPRS) |
PSS013806| East Asian Ancestry| 9,151 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Uric acid, blood | — | AUROC: 0.78759 | R²: 0.05369 | sex, age, array, PCs 1-10 | — |
| PPM038100 | PGS019918 (TPMI_UA_PRSmix+) |
PSS013808| East Asian Ancestry| 9,151 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Uric acid, blood | — | — | R²: 0.08114 | 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 |
|---|---|---|---|---|---|---|---|---|
| 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 | — |
| PSS013804 | — | — | 9,151 individuals, 51.19 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013805 | — | — | 9,151 individuals, 51.19 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013806 | — | — | 9,151 individuals, 51.19 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013807 | — | — | 9,151 individuals, 51.19 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013808 | — | — | 9,151 individuals, 51.19 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013809 | — | — | 9,151 individuals, 51.19 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS009644 | — | — | [
|
— | East Asian (Chinese) |
— | DN, SMART2D | — |