Predicted Trait | |
Reported Trait | Type 2 diabetes (T2D) |
Mapped Trait(s) | type 2 diabetes mellitus (MONDO_0005148) |
Score Construction | |
PGS Name | T2DPGS |
Development Method | |
Name | Genome-wide significant variants |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 6,580,804 |
Effect Weight Type | beta |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000617 |
Citation (link to publication) | Yun JS et al. Cardiovasc Diabetol (2022) |
Ancestry Distribution | |
Source of Variant Associations (GWAS) | European: 100% 159,208 individuals (100%) |
PGS Evaluation | European: 100% 1 Sample Sets |
Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
---|---|---|---|
GWAS Catalog: GCST004773 Europe PMC: 28566273 |
159,208 individuals | European | DIAGRAM |
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 |
---|---|---|---|---|---|---|---|---|
PPM021133 | PSS011537| European Ancestry| 345,217 individuals |
PGP000617 | Yun JS et al. Cardiovasc Diabetol (2022) |
Reported Trait: Incident cardiovascular disease | HR: 1.06 [1.04, 1.07] | — | Hazard ratio (HR, top PRS percentile vs bottom quintile): 1.35 [1.19, 1.53] | Age, sex, genotyping array, 10 PCs | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS011537 | — | Median = 8.9 years IQR = [8.3, 9.5] years |
[ ,
44.6 % Male samples |
Mean = 56.1 years Sd = 8.0 years |
European (White British) |
— | UKB | — |