| Predicted Trait | |
| Reported Trait | Metabolic syndrome |
| Mapped Trait(s) | metabolic syndrome (EFO_0000195) |
| Score Construction | |
| PGS Name | MetS_gSEM |
| Development Method | |
| Name | PRS-CS |
| Parameters | Reference panel = 1000 Genomes phase 3 European, phi = 0.01, a = 1, b = 0.5, Monte Carlo iteration = 1000, burn-in interations = 500, Markov chain thinning factor = 5 |
| Variants | |
| Original Genome Build | GRCh37 |
| Number of Variants | 916,017 |
| Effect Weight Type | beta |
| PGS Source | |
| PGS Catalog Publication (PGP) ID | PGP000664 |
| Citation (link to publication) | Park S et al. Nat Genet (2024) |
| Ancestry Distribution | |
| Source of Variant Associations (GWAS) | European: 100% 1,252,787 individuals (100%) |
| PGS Evaluation | East Asian: 50% European: 50% 2 Sample Sets |
| Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
|---|---|---|---|
GWAS Catalog: GCST90444488 |
1,252,787 individuals | European | FinnGen, GIANT, GLGC, MAGIC, MVP |
|
PGS Performance Metric ID (PPM) |
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 | 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 | 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 | — |