| Publication Information (EuropePMC) | |
| Title | Multivariate genomic analysis of 5 million people elucidates the genetic architecture of shared components of the metabolic syndrome. |
| PubMed ID | 39349817(Europe PMC) |
| doi | 10.1038/s41588-024-01933-1 |
| Publication Date | Sept. 30, 2024 |
| Journal | Nat Genet |
| Author(s) | Park S, Kim S, Kim B, Kim DS, Kim J, Ahn Y, Kim H, Song M, Shim I, Jung SH, Cho C, Lim S, Hong S, Jo H, Fahed AC, Natarajan P, Ellinor PT, Torkamani A, Park WY, Yu TY, Myung W, 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) |
|---|---|---|---|---|---|---|
| PGS004928 (MetS_gSEM) |
PGP000664 | Park S et al. Nat Genet (2024) |
Metabolic syndrome | metabolic syndrome | 916,017 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004928/ScoringFiles/PGS004928.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 |
|---|---|---|---|---|---|---|---|---|---|
| PPM021715 | PGS004928 (MetS_gSEM) |
PSS011760| East Asian Ancestry| 62,314 individuals |
PGP000664 | Park S et al. Nat Genet (2024) |
Reported Trait: Metabolic syndrome | OR: 1.18 [1.155, 1.205] | — | R²: 0.018 | sex, age, genetic PCs (1-10) | Logistic regression, Computed McFadden's pseudo-R^2 |
| PPM021714 | PGS004928 (MetS_gSEM) |
PSS011761| European Ancestry| 11,139 individuals |
PGP000664 | Park S et al. Nat Genet (2024) |
Reported Trait: Metabolic syndrome | OR: 1.239 [1.191, 1.289] | — | R²: 0.046 | sex, age, genetic PCs (1-10) | Logistic regression, Computed McFadden's pseudo-R^2 |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS011760 | We used criteria defined by AHA/NHLBI was used to define MetS for individuals in KoGES. The criteria are as follows: elevated waist circumference (Asian with WCmen ≥90 cm and WCwomen ≥80 cm, elevated TG (TG ≥150 mg/dL), sex-specific reduced HDL-C (HDL-Cmen <40 mg/dL and HDL-Cwomen <50 mg/dL), elevated blood pressure (systolic ≥130 mmHg and diastolic ≥85 mmHg), and elevated FG (FG ≥100 mg/dL). The individuals were categorized as MetS positive if they satisfied three out of five criteria. | — | [
|
— | East Asian (Korean) |
— | KoGES | — |
| PSS011761 | We assigned the dichotomous MetS status based on AHA/NHLBI that consists of five criteria as follows: population- and sex-specific elevated waist circumference (WC, European with WCmen ≥102 cm and WCwomen ≥88 cm), elevated triglycerides (TG, TG ≥150 mg/dL), sex-specific reduced high-density lipoprotein cholesterol (HDL-C, HDL-Cmen <40 mg/dL and HDL-Cwomen < 50mg/dL), elevated blood pressure (BP, systolic ≥130 mmHg and diastolic ≥85 mmHg), and elevated fasting glucose (FG, FG ≥100 mg/dL). The individuals who satisfied three out of five criteria based on AHA/NHLBI were categorized as MetS case. | — | [
|
— | European | — | UKB | — |