Polygenic Score (PGS) ID: PGS002780

Predicted Trait
Reported Trait Incident type 2 diabetes
Mapped Trait(s) type 2 diabetes mellitus (MONDO_0005148)
Released in PGS Catalog: Dec. 20, 2022
Download Score FTP directory
Terms and Licenses
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)

Score Details

Score Construction
PGS Name GTG_T2D_SCT
Development Method
Name Stacked clumping and thresholding (SCT)
Parameters SCT(bigsnpr) using default hyperparameters
Variants
Original Genome Build hg19
Number of Variants 419,209
Effect Weight Type NR
PGS Source
PGS Catalog Publication (PGP) ID PGP000365
Citation (link to publication) Wong CK et al. PLoS One (2022)
Ancestry Distribution
Source of Variant
Associations (GWAS)
European: 100%
159,208 individuals (100%)
Score Development/Training
European: 100%
12,768 individuals (100%)
PGS Evaluation
African: 21.4%
East Asian: 21.4%
European: 21.4%
South Asian: 21.4%
Hispanic or Latin American: 7.1%
Additional Asian Ancestries: 7.1%
14 Sample Sets

Development Samples

Source of Variant Associations (GWAS)
Study Identifiers Sample Numbers Sample Ancestry Cohort(s)
GWAS Catalog: GCST004773
Europe PMC: 28566273
 159,208 individuals European NR
Score Development/Training
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
—
[
  • 2,128 cases
  • , 10,640 controls
]
,
55.0 % Male samples
 European UKB We used the disease definitions described in the supplement of Eastwood et al (2016). PMID: 27631769 — — —

Performance Metrics

Disclaimer: The performance metrics are displayed as reported by the source studies. It is important to note that metrics are not necessarily comparable with each other. For example, metrics depend on the sample characteristics (described by the PGS Catalog Sample Set [PSS] ID), phenotyping, and statistical modelling. Please refer to the source publication for additional guidance on performance.

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
PPM014980 PSS009943|
European Ancestry|
5,472 individuals
 PGP000365 |
Wong CK et al. PLoS One (2022)
 Reported Trait: Incident type 2 diabetes OR: 1.41 [1.31, 1.51] AUROC: 0.595 [0.575, 0.615] — — —
PPM021452 PSS011738|
European Ancestry|
38,941 individuals
 PGP000656 |
Ritchie SC et al. medRxiv (2024)
|Ext.|Pre		 Reported Trait: Incident type 2 diabetes HR: 1.65 [1.53, 1.77] C-index: 0.742 [0.725, 0.759] — Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) —
PPM021486 PSS011735|
African Ancestry|
44,346 individuals
 PGP000656 |
Ritchie SC et al. medRxiv (2024)
|Ext.|Pre		 Reported Trait: Type 2 diabetes OR: 1.18 [1.14, 1.21] AUROC: 0.715 [0.709, 0.722] — Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) —
PPM021508 PSS011736|
Hispanic or Latin American Ancestry|
33,652 individuals
 PGP000656 |
Ritchie SC et al. medRxiv (2024)
|Ext.|Pre		 Reported Trait: Type 2 diabetes OR: 1.35 [1.31, 1.4] AUROC: 0.756 [0.749, 0.763] — Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) —
PPM021526 PSS011740|
East Asian Ancestry|
1,149 individuals
 PGP000656 |
Ritchie SC et al. medRxiv (2024)
|Ext.|Pre		 Reported Trait: Incident type 2 diabetes OR: 1.14 [0.98, 1.33] AUROC: 0.598 [0.556, 0.641] — Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) —
PPM021539 PSS011741|
South Asian Ancestry|
852 individuals
 PGP000656 |
Ritchie SC et al. medRxiv (2024)
|Ext.|Pre		 Reported Trait: Incident type 2 diabetes OR: 1.43 [1.21, 1.69] AUROC: 0.666 [0.624, 0.708] — Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) —
PPM021570 PSS011739|
Additional Asian Ancestries|
870 individuals
 PGP000656 |
Ritchie SC et al. medRxiv (2024)
|Ext.|Pre		 Reported Trait: Incident type 2 diabetes OR: 1.27 [1.07, 1.5] AUROC: 0.668 [0.625, 0.711] — Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) —
PPM021595 PSS011743|
African Ancestry|
6,871 individuals
 PGP000656 |
Ritchie SC et al. medRxiv (2024)
|Ext.|Pre		 Reported Trait: Type 2 diabetes OR: 1.17 [1.09, 1.27] AUROC: 0.708 [0.689, 0.727] — Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) —
PPM021610 PSS011745|
East Asian Ancestry|
1,432 individuals
 PGP000656 |
Ritchie SC et al. medRxiv (2024)
|Ext.|Pre		 Reported Trait: Type 2 diabetes OR: 1.44 [1.13, 1.83] AUROC: 0.712 [0.655, 0.769] — Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) —
PPM021634 PSS011749|
South Asian Ancestry|
6,992 individuals
 PGP000656 |
Ritchie SC et al. medRxiv (2024)
|Ext.|Pre		 Reported Trait: Type 2 diabetes OR: 1.53 [1.43, 1.63] AUROC: 0.713 [0.698, 0.729] — Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) —
PPM021652 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) —
PPM021672 PSS011744|
East Asian Ancestry|
1,350 individuals
 PGP000656 |
Ritchie SC et al. medRxiv (2024)
|Ext.|Pre		 Reported Trait: Incident type 2 diabetes HR: 1.31 [0.95, 1.81] C-index: 0.683 [0.61, 0.755] — Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) —
PPM021700 PSS011748|
South Asian Ancestry|
5,685 individuals
 PGP000656 |
Ritchie SC et al. medRxiv (2024)
|Ext.|Pre		 Reported Trait: Incident type 2 diabetes HR: 1.12 [1.03, 1.22] C-index: 0.603 [0.58, 0.626] — Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) —
PPM021430 PSS011737|
European Ancestry|
109,021 individuals
 PGP000656 |
Ritchie SC et al. medRxiv (2024)
|Ext.|Pre		 Reported Trait: Type 2 diabetes OR: 1.46 [1.42, 1.49] AUROC: 0.694 [0.689, 0.699] — Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) —

Evaluated Samples

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 —
[
  • 5,663 cases
  • , 38,683 controls
]
 — 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 —
[
  • 4,033 cases
  • , 29,619 controls
]
 — Hispanic or Latin American Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations AllofUs —
PSS009943 We used the disease definitions described in the supplement of Eastwood et al (2016). PMID: 27631769 —
[
  • 912 cases
  • , 4,560 controls
]
,
45.0 % Male samples
 European — UKB —
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 —
[
  • 726 cases
  • , 38,215 controls
]
 — 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-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) —
[
  • 187 cases
  • , 683 controls
]
 — 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-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) —
[
  • 205 cases
  • , 944 controls
]
 — 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) —
[
  • 194 cases
  • , 658 controls
]
 — 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 episode 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 data —
[
  • 395 cases
  • , 5,624 controls
]
 — 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 episode 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 data —
[
  • 766 cases
  • , 6,105 controls
]
 — 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 episode 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 data —
[
  • 37 cases
  • , 1,313 controls
]
 — 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 episode 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 data —
[
  • 76 cases
  • , 1,356 controls
]
 — East Asian Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations UKB —
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 —
[
  • 10,069 cases
  • , 98,952 controls
]
 — European Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations AllofUs —
PSS011748 Prevalent T2D status at baseline was adjudicated from a combination of retrospective hospital episode 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 data —
[
  • 513 cases
  • , 5,172 controls
]
 — 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 episode 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 data —
[
  • 1,253 cases
  • , 5,739 controls
]
 — South Asian Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations UKB —