| Predicted Trait | |
| Reported Trait | Type 2 diabetes (T2D) |
| Mapped Trait(s) | type 2 diabetes mellitus (MONDO_0005148) |
| Score Construction | |
| PGS Name | disease_T2D.BOLT-LMM |
| Development Method | |
| Name | BOLT-LMM |
| Parameters | NR |
| Variants | |
| Original Genome Build | GRCh37 |
| Number of Variants | 1,109,311 |
| Effect Weight Type | beta |
| PGS Source | |
| PGS Catalog Publication (PGP) ID | PGP000332 |
| Citation (link to publication) | Weissbrod O et al. Nat Genet (2022) |
| Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
|---|---|---|---|
| — | 337,488 individuals | 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 |
|---|---|---|---|---|---|---|---|---|
| PPM013119 | PSS009859| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0047 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013168 | PSS009860| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0025 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013217 | PSS009861| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0135 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013266 | PSS009862| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0218 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM022793 | PSS012080| Greater Middle Eastern Ancestry| 4,534 individuals |
PGP000753 | Aliyu U et al. Diabetes Obes Metab (2025) |Ext. |
Reported Trait: Prediabetes | OR: 1.194 [1.12, 1.273] | AUROC: 0.647 [0.632, 0.663] | R²: 0.084 | sex, baseline age, BMI, PCs1-10 | — |
| PPM022941 | PSS012081| Greater Middle Eastern Ancestry| 2,143 individuals |
PGP000753 | Aliyu U et al. Diabetes Obes Metab (2025) |Ext. |
Reported Trait: Incident T2D in prediabetics | HR: 1.436 [1.239, 1.664] | AUROC: 0.761 [0.728, 0.794] | — | sex, baseline age, BMI, PCs1-10 | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS012080 | age-matched cohort | — | [
|
— | Greater Middle Eastern (Middle Eastern, North African or Persian) (Qatari) |
— | QBB | — |
| PSS012081 | — | Median = 6.0 years | [ ,
54.22 % Male samples |
— | Greater Middle Eastern (Middle Eastern, North African or Persian) (Qatari) |
— | QBB | — |
| PSS009859 | — | — | 6,503 individuals | — | African unspecified | — | UKB | — |
| PSS009860 | — | — | 922 individuals | — | East Asian | — | UKB | — |
| PSS009861 | — | — | 43,505 individuals | — | European | Non-British European | UKB | — |
| PSS009862 | — | — | 8,098 individuals | — | South Asian | — | UKB | — |