Predicted Trait | |
Reported Trait | Type 2 diabetes (T2D) |
Mapped Trait(s) | type 2 diabetes mellitus (MONDO_0005148) |
Score Construction | |
PGS Name | ldpred_t2d |
Development Method | |
Name | LDpred |
Parameters | p = 0.003, LD radius = 2000, LD reference panel: European ancestry in 1000 Genomes |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 6,431,973 |
Effect Weight Type | beta |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000271 |
Citation (link to publication) | Mars N et al. Cell Genom (2022) |
Study Identifiers
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Sample Numbers
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Sample Ancestry
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Cohort(s)
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GWAS Catalog: GCST004773 Europe PMC: 28566273 | 159,208 individuals | European | NR |
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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— | [
| European (Finnish) | FinnGen | — | — | — | — | — |
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 |
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PPM012733 | PSS009522| European Ancestry| 258,402 individuals | PGP000271 | Mars N et al. Cell Genom (2022) | Reported Trait: Type 2 diabetes | OR: 1.58 [1.56, 1.6] | — | — | age, sex, 10 PCs (+/- dataset-specific technical covariates) | — |
PPM012737 | PSS009518| European Ancestry| 110,597 individuals | PGP000271 | Mars N et al. Cell Genom (2022) | Reported Trait: Type 2 diabetes | OR: 1.55 [1.51, 1.59] | — | — | age, sex, 10 PCs (+/- dataset-specific technical covariates) | — |
PPM012741 | PSS009514| East Asian Ancestry| 178,726 individuals | PGP000271 | Mars N et al. Cell Genom (2022) | Reported Trait: Type 2 diabetes | OR: 1.37 [1.36, 1.39] | — | — | age, sex, 10 PCs (+/- dataset-specific technical covariates) | — |
PPM012745 | PSS009526| European Ancestry| 69,422 individuals | PGP000271 | Mars N et al. Cell Genom (2022) | Reported Trait: Type 2 diabetes | OR: 1.64 [1.6, 1.69] | — | — | birth year, sex, 10 PCs (+/- dataset-specific technical covariates) | — |
PPM012749 | PSS009534| European Ancestry| 25,696 individuals | PGP000271 | Mars N et al. Cell Genom (2022) | Reported Trait: Type 2 diabetes | OR: 1.46 [1.41, 1.51] | — | — | age, sex, 10 PCs (+/- dataset-specific technical covariates) | — |
PPM012753 | PSS009530| African Ancestry| 1,535 individuals | PGP000271 | Mars N et al. Cell Genom (2022) | Reported Trait: Type 2 diabetes | OR: 1.24 [1.09, 1.42] | — | — | age, sex, 10 PCs (+/- dataset-specific technical covariates) | — |
PPM012757 | PSS009542| European Ancestry| 343,676 individuals | PGP000271 | Mars N et al. Cell Genom (2022) | Reported Trait: Type 2 diabetes | OR: 1.78 [1.75, 1.81] | — | — | age, sex, 10 PCs (+/- dataset-specific technical covariates) | — |
PPM012762 | PSS009538| African Ancestry| 7,618 individuals | PGP000271 | Mars N et al. Cell Genom (2022) | Reported Trait: Type 2 diabetes | OR: 1.46 [1.32, 1.62] | — | — | age, sex, 10 PCs (+/- dataset-specific technical covariates) | — |
PPM012767 | PSS009546| South Asian Ancestry| 7,628 individuals | PGP000271 | Mars N et al. Cell Genom (2022) | Reported Trait: Type 2 diabetes | OR: 1.66 [1.55, 1.79] | — | — | age, sex, 10 PCs (+/- dataset-specific technical covariates) | — |
PPM021425 | PSS011737| European Ancestry| 109,021 individuals | PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre | Reported Trait: Type 2 diabetes | OR: 1.55 [1.52, 1.59] | AUROC: 0.703 [0.698, 0.708] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
PPM021434 | PSS011747| European Ancestry| 245,177 individuals | PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre | Reported Trait: Type 2 diabetes | OR: 1.78 [1.75, 1.82] | AUROC: 0.737 [0.733, 0.742] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
PPM021453 | PSS011738| European Ancestry| 38,941 individuals | PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre | Reported Trait: Incident type 2 diabetes | HR: 1.64 [1.53, 1.77] | C-index: 0.741 [0.723, 0.758] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
PPM021462 | PSS011746| European Ancestry| 232,808 individuals | PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre | Reported Trait: Incident type 2 diabetes | HR: 1.49 [1.45, 1.52] | C-index: 0.689 [0.683, 0.695] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
PPM021476 | 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 [0.712, 0.725] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
PPM021503 | PSS011736| Hispanic or Latin American Ancestry| 33,652 individuals | PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre | Reported Trait: Type 2 diabetes | OR: 1.43 [1.38, 1.48] | AUROC: 0.76 [0.753, 0.767] | — | 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
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Sample Numbers
|
Age of Study Participants
|
Sample Ancestry
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Additional Ancestry Description
|
Cohort(s)
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Additional Sample/Cohort Information
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PSS009514 | — | — | [
| — | East Asian (Japanese) | — | BBJ | — |
PSS009518 | — | — | [
| — | European (Estonian) | — | EB | — |
PSS009522 | — | — | [
| — | European (Finnish) | — | FinnGen | — |
PSS009526 | — | — | [
| — | European | Norwegian | HUNT | — |
PSS009530 | — | — | [
| — | African American or Afro-Caribbean | — | MGBB | — |
PSS009534 | — | — | [
| — | European | — | MGBB | — |
PSS009538 | — | — | [
| — | African unspecified | — | UKB | — |
PSS009542 | — | — | [
| — | European | British | UKB | — |
PSS009546 | — | — | [
| — | South Asian | — | UKB | — |
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 | — |