Predicted Trait | |
Reported Trait | Type 2 diabetes (T2D) |
Mapped Trait(s) | type 2 diabetes mellitus (MONDO_0005148) |
Score Construction | |
PGS Name | T2D_PRScs_ARB |
Development Method | |
Name | PRS-CS |
Parameters | a=1,b=0.5,phi=0.0001 |
Variants | |
Original Genome Build | hg19 |
Number of Variants | 1,068,166 |
Effect Weight Type | beta |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000501 |
Citation (link to publication) | Shim I et al. Nature Communications (2023) |
Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
---|---|---|---|
GWAS Catalog: GCST90132183 Europe PMC: 35551307 |
251,740 individuals | European | NR |
GWAS Catalog: GCST90132183 Europe PMC: 35551307 |
139,705 individuals | East Asian | NR |
GWAS Catalog: GCST90132183 Europe PMC: 35551307 |
40,737 individuals | South Asian | NR |
GWAS Catalog: GCST90132183 Europe PMC: 35551307 |
27,417 individuals | Hispanic or Latin American | NR |
GWAS Catalog: GCST90132183 Europe PMC: 35551307 |
30,167 individuals | African American or Afro-Caribbean | NR |
GWAS Catalog: GCST90132183 Europe PMC: 35551307 |
2,426 individuals | Sub-Saharan African | NR |
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 |
---|---|---|---|---|---|---|---|---|
PPM018759 | PSS011097| Greater Middle Eastern Ancestry| 2,669 individuals |
PGP000501 | Shim I et al. Nature Communications (2023) |
Reported Trait: Type 2 diabetes | OR: 1.83 [1.74, 1.92] | AUROC: 0.7384 [0.7194, 0.7574] | — | age, sex, array version, and the first 10 principal components of ancestry | — |
PPM021415 | PSS011737| European Ancestry| 109,021 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.84 [1.8, 1.88] | AUROC: 0.73 [0.725, 0.735] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
PPM021443 | PSS011738| European Ancestry| 38,941 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.95 [1.81, 2.1] | C-index: 0.766 [0.75, 0.782] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
PPM021466 | PSS011735| African Ancestry| 44,346 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.37 [1.33, 1.41] | AUROC: 0.727 [0.72, 0.733] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
PPM021492 | PSS011736| Hispanic or Latin American Ancestry| 33,652 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.72 [1.65, 1.78] | AUROC: 0.776 [0.769, 0.783] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
PPM021513 | PSS011740| East Asian Ancestry| 1,149 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.42 [1.22, 1.66] | AUROC: 0.635 [0.594, 0.676] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
PPM021535 | PSS011741| South Asian Ancestry| 852 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.52 [1.29, 1.81] | AUROC: 0.681 [0.641, 0.722] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
PPM021559 | PSS011739| Additional Asian Ancestries| 870 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.64 [1.37, 1.98] | AUROC: 0.701 [0.659, 0.742] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS011735 | T2D cases were ascertained based on a combination of hospital diagnosis codes, prescription medication, and lab results from blood tests occurring prior to baseline assessment. Participants were considered controls if they had no history of any diabetes diagnoses, T2D medication, or abnormal glucose or HbA1c lab results. Participants with T1D or uncertain diabetes status were excluded from analysis | — | [
|
— | African unspecified | Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations | AllofUs | — |
PSS011736 | T2D cases were ascertained based on a combination of hospital diagnosis codes, prescription medication, and lab results from blood tests occurring prior to baseline assessment. Participants were considered controls if they had no history of any diabetes diagnoses, T2D medication, or abnormal glucose or HbA1c lab results. Participants with T1D or uncertain diabetes status were excluded from analysis | — | [
|
— | Hispanic or Latin American | Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations | AllofUs | — |
PSS011737 | T2D cases were ascertained based on a combination of hospital diagnosis codes, prescription medication, and lab results from blood tests occurring prior to baseline assessment. Participants were considered controls if they had no history of any diabetes diagnoses, T2D medication, or abnormal glucose or HbA1c lab results. Participants with T1D or uncertain diabetes status were excluded from analysis | — | [
|
— | European | Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations | AllofUs | — |
PSS011738 | T2D was defined using ICD-10 codes E10-E14, G59.0, G63.2, H28.0, H36.0, M14.2, N08.3, or O24.0-O24.3. Participants with any diabetes history were excluded from analysis. Incident diabetes events were treated as incident T2D | — | [
|
— | European | Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations | INTERVAL | — |
PSS011097 | — | — | 2,669 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) (Arab) |
— | NR | N total after excluding missing values = 2,553 |
PSS011740 | Incident T2D was ascertained through a combination of linkage to national healthcare records, self-reported medical history at follow-up assessment (either diagnosis from a primary care physician or current diabetes medication usage), or with blood biomarker concentrations indicative of diabetes following the American Diabetes Association criteria (fasting glucose ≥ 7 mmol/L or HbA1c ≥ 6.5% or random blood glucose ≥11 mmol/L) | — | [
|
— | East Asian (Chinese Singaporean) |
Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations | SingaporeMEC | — |
PSS011741 | Incident T2D was ascertained through a combination of linkage to national healthcare records, self-reported medical history at follow-up assessment (either diagnosis from a primary care physician or current diabetes medication usage), or with blood biomarker concentrations indicative of diabetes following the American Diabetes Association criteria (fasting glucose ≥ 7 mmol/L or HbA1c ≥ 6.5% or random blood glucose ≥11 mmol/L) | — | [
|
— | South Asian (Indian Singaporean) |
Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations | SingaporeMEC | — |
PSS011739 | Incident T2D was ascertained through a combination of linkage to national healthcare records, self-reported medical history at follow-up assessment (either diagnosis from a primary care physician or current diabetes medication usage), or with blood biomarker concentrations indicative of diabetes following the American Diabetes Association criteria (fasting glucose ≥ 7 mmol/L or HbA1c ≥ 6.5% or random blood glucose ≥11 mmol/L) | — | [
|
— | South East Asian (Malay Singaporean) |
Ancestry label assigned based on Malay being the majority reported ethnicity within the genetic cluster | SingaporeMEC | — |