Predicted Trait | |
Reported Trait | Type 2 diabetes (T2D) |
Mapped Trait(s) | type 2 diabetes mellitus (MONDO_0005148) |
Score Construction | |
PGS Name | ModelT2D |
Development Method | |
Name | Genome-wide significant SNPs |
Parameters | r2<=0.1 |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 333 |
Effect Weight Type | beta |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000472 |
Citation (link to publication) | Shoaib M et al. Genet Epidemiol (2023) |
Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
---|---|---|---|
GWAS Catalog: GCST004774 Europe PMC: 28566273 |
159,208 individuals | European | NR |
Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) | Phenotype Definitions & Methods | Age of Study Participants | Participant Follow-up Time | Additional Ancestry Description | Additional Sample/Cohort Information |
---|---|---|---|---|---|---|---|---|
— | [
|
European | UKB | — | — | — | — | — |
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 |
---|---|---|---|---|---|---|---|---|
PPM018511 | PSS011002| European Ancestry| 125,189 individuals |
PGP000472 | Shoaib M et al. Genet Epidemiol (2023) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.578 | Nagelkerke R2: 0.014 | — | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS011002 | — | — | [
|
— | European | — | UKB | — |