| Predicted Trait | |
| Reported Trait | Type 2 diabetes (T2D) |
| Mapped Trait(s) | type 2 diabetes mellitus (MONDO_0005148) |
| Additional Trait Information | Unadjusted weights |
| Score Construction | |
| PGS Name | T2D |
| Development Method | |
| Name | snpnet (multi-PRS) |
| Parameters | Weighted combination of multiple biomarker PRS. 1,080,968 variants as input (directly genotyped vari... ants, imputed HLA allelotypes, and CNVs)Show more |
| Variants | |
| Original Genome Build | hg19 |
| Number of Variants | 183,830 |
| Effect Weight Type | weights.T2D |
| PGS Source | |
| PGS Catalog Publication (PGP) ID | PGP000128 |
| Citation (link to publication) | Sinnott-Armstrong N et al. Nat Genet (2021) |
Study Identifiers
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Sample Numbers
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Sample Ancestry
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Cohort(s)
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Phenotype Definitions & Methods
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Age of Study Participants
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Participant Follow-up Time
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Additional Ancestry Description
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Additional Sample/Cohort Information
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|---|---|---|---|---|---|---|---|---|
Europe PMC: 10.1038/s41588-020-00757-z | 223,327 individuals | European (British) | UKB | — | — | — | — | Training |
PGS Performance Metric ID (PPM) |
PGS Sample Set ID (PSS) |
Performance Source
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Trait
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PGS Effect Sizes (per SD change) |
Classification Metrics
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Other Metrics
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Covariates Included in the Model
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PGS Performance: Other Relevant Information |
|---|---|---|---|---|---|---|---|---|
| PPM001605 | PSS000754| European Ancestry| 87,413 individuals | PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) | Reported Trait: Type 2 diabetes | — | AUROC: 0.688 | — | Age, sex, PCs(1-10) | — |
| PPM001615 | PSS000756| European Ancestry| 135,300 individuals | PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) | Reported Trait: Type 2 diabetes | HR: 1.49 [1.47, 1.51] | C-index: 0.669 | — | Age as time scale, sex, batch, PCs(1-10) | — |
| PPM021420 | PSS011737| European Ancestry| 109,021 individuals | PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre | Reported Trait: Type 2 diabetes | OR: 1.63 [1.6, 1.67] | AUROC: 0.712 [0.707, 0.717] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021449 | PSS011738| European Ancestry| 38,941 individuals | PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre | Reported Trait: Incident type 2 diabetes | HR: 1.74 [1.62, 1.88] | C-index: 0.748 [0.732, 0.765] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021479 | PSS011735| African Ancestry| 44,346 individuals | PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre | Reported Trait: Type 2 diabetes | OR: 1.23 [1.2, 1.27] | AUROC: 0.718 [0.711, 0.724] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021499 | PSS011736| Hispanic or Latin American Ancestry| 33,652 individuals | PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre | Reported Trait: Type 2 diabetes | OR: 1.46 [1.41, 1.51] | AUROC: 0.762 [0.755, 0.769] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021524 | PSS011740| East Asian Ancestry| 1,149 individuals | PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre | Reported Trait: Incident type 2 diabetes | OR: 1.19 [1.02, 1.39] | AUROC: 0.598 [0.554, 0.641] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021550 | PSS011741| South Asian Ancestry| 852 individuals | PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre | Reported Trait: Incident type 2 diabetes | OR: 0.91 [0.77, 1.08] | AUROC: 0.643 [0.6, 0.686] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021574 | PSS011739| Additional Asian Ancestries| 870 individuals | PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre | Reported Trait: Incident type 2 diabetes | OR: 0.95 [0.8, 1.12] | AUROC: 0.652 [0.608, 0.696] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021587 | PSS011743| African Ancestry| 6,871 individuals | PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre | Reported Trait: Type 2 diabetes | OR: 1.31 [1.21, 1.42] | AUROC: 0.714 [0.695, 0.734] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021597 | PSS011745| East Asian Ancestry| 1,432 individuals | PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre | Reported Trait: Type 2 diabetes | OR: 1.9 [1.48, 2.45] | AUROC: 0.754 [0.7, 0.808] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021630 | PSS011749| South Asian Ancestry| 6,992 individuals | PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre | Reported Trait: Type 2 diabetes | OR: 1.59 [1.49, 1.7] | AUROC: 0.721 [0.705, 0.736] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021654 | PSS011742| African Ancestry| 6,019 individuals | PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre | Reported Trait: Incident type 2 diabetes | HR: 1.12 [1.01, 1.23] | C-index: 0.644 [0.617, 0.671] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021660 | PSS011744| East Asian Ancestry| 1,350 individuals | PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre | Reported Trait: Incident type 2 diabetes | HR: 1.74 [1.25, 2.41] | C-index: 0.722 [0.646, 0.798] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021689 | PSS011748| South Asian Ancestry| 5,685 individuals | PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre | Reported Trait: Incident type 2 diabetes | HR: 1.26 [1.15, 1.37] | C-index: 0.619 [0.596, 0.641] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
PGS Sample Set ID (PSS) |
Phenotype Definitions and Methods
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Participant Follow-up Time
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Sample Numbers
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Age of Study Participants
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Sample Ancestry
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Additional Ancestry Description
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Cohort(s)
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Additional Sample/Cohort Information
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|---|---|---|---|---|---|---|---|---|
| PSS000754 | — | — | 87,413 individuals | — | European | — | UKB | — |
| PSS000756 | ICD-10 E11.0 - E11.9 | — | [
| — | European (Finnish) | — | FinnGen | — |
| PSS011735 | T2D cases were ascertained based on a combination of hospital diagnosis codes, prescription medicati... on, 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 analysisShow more | — | [
| — | 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 medicati... on, 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 analysisShow more | — | [
| — | 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 medicati... on, 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 analysisShow more | — | [
| — | 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 T2DShow more | — | [
| — | European | Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations | INTERVAL | — |
| PSS011739 | Incident T2D was ascertained through a combination of linkage to national healthcare records, self-r... eported 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)Show more | — | [
| — | South East Asian (Malay Singaporean) | Ancestry label assigned based on Malay being the majority reported ethnicity within the genetic cluster | SingaporeMEC | — |
| PSS011740 | Incident T2D was ascertained through a combination of linkage to national healthcare records, self-r... eported 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)Show more | — | [
| — | 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-r... eported 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)Show more | — | [
| — | South Asian (Indian Singaporean) | Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations | SingaporeMEC | — |
| PSS011742 | Prevalent T2D status at baseline was adjudicated from a combination of retrospective hospital episod... e records, self-reported history of diabetes, and baseline medication using the Eastwood et al. algorithms. Incident T2D cases were ascertained following the Eastwood et al. algorithms on the basis of ICD-10 diagnosis coding E11 in either the hospital inpatient or death registry dataShow more | — | [
| — | African unspecified | Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations | UKB | — |
| PSS011743 | Prevalent T2D status at baseline was adjudicated from a combination of retrospective hospital episod... e records, self-reported history of diabetes, and baseline medication using the Eastwood et al. algorithms. Incident T2D cases were ascertained following the Eastwood et al. algorithms on the basis of ICD-10 diagnosis coding E11 in either the hospital inpatient or death registry dataShow more | — | [
| — | African unspecified | Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations | UKB | — |
| PSS011744 | Prevalent T2D status at baseline was adjudicated from a combination of retrospective hospital episod... e records, self-reported history of diabetes, and baseline medication using the Eastwood et al. algorithms. Incident T2D cases were ascertained following the Eastwood et al. algorithms on the basis of ICD-10 diagnosis coding E11 in either the hospital inpatient or death registry dataShow more | — | [
| — | East Asian | Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations | UKB | — |
| PSS011745 | Prevalent T2D status at baseline was adjudicated from a combination of retrospective hospital episod... e records, self-reported history of diabetes, and baseline medication using the Eastwood et al. algorithms. Incident T2D cases were ascertained following the Eastwood et al. algorithms on the basis of ICD-10 diagnosis coding E11 in either the hospital inpatient or death registry dataShow more | — | [
| — | East Asian | Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations | UKB | — |
| PSS011748 | Prevalent T2D status at baseline was adjudicated from a combination of retrospective hospital episod... e records, self-reported history of diabetes, and baseline medication using the Eastwood et al. algorithms. Incident T2D cases were ascertained following the Eastwood et al. algorithms on the basis of ICD-10 diagnosis coding E11 in either the hospital inpatient or death registry dataShow more | — | [
| — | South Asian | Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations | UKB | — |
| PSS011749 | Prevalent T2D status at baseline was adjudicated from a combination of retrospective hospital episod... e records, self-reported history of diabetes, and baseline medication using the Eastwood et al. algorithms. Incident T2D cases were ascertained following the Eastwood et al. algorithms on the basis of ICD-10 diagnosis coding E11 in either the hospital inpatient or death registry dataShow more | — | [
| — | South Asian | Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations | UKB | — |