Trait: autoimmune disorder of gastrointestinal tract

Trait Information
Identifier MONDO_0000588
Description A hypersensitivity reaction type II disease that involves the alimentary part of gastrointestinal system. [MONDO: patterns/location]
Trait category
Other trait
Synonyms 3 synonyms
  • alimentary part of gastrointestinal system autoimmune disease
  • alimentary part of gastrointestinal system hypersensitivity reaction type II disease
  • autoimmune disease of alimentary part of gastrointestinal system
Child trait(s) 2 child traits

Associated Polygenic Score(s)

Filter PGS by Participant Ancestry
Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
List of ancestries includes:
Display options:
Ancestry legend
Multi-ancestry (including European)
Multi-ancestry (excluding European)
African
East Asian
South Asian
Additional Asian Ancestries
European
Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported
Note: This table shows PGS for child terms of "autoimmune disorder of gastrointestinal tract" in the EFO hierarchy.
Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution
GWAS
Dev
Eval
Scoring File (FTP Link)
PGS000021
(GRS1)
PGP000011 |
Oram RA et al. Diabetes Care (2015)
Type 1 diabetes (T1D) type 1 diabetes mellitus 33
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000021/ScoringFiles/PGS000021.txt.gz
PGS000022
(T1D_GRS)
PGP000012 |
Perry DJ et al. Sci Rep (2018)
Type 1 diabetes (T1D) type 1 diabetes mellitus 37
-
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000022/ScoringFiles/PGS000022.txt.gz
PGS000023
(AA_GRS)
PGP000013 |
Onengut-Gumuscu S et al. Diabetes Care (2019)
Type 1 diabetes (T1D) type 1 diabetes mellitus 7
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000023/ScoringFiles/PGS000023.txt.gz
PGS000024
(GRS2)
PGP000014 |
Sharp SA et al. Diabetes Care (2019)
Type 1 diabetes (T1D) type 1 diabetes mellitus 85
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000024/ScoringFiles/PGS000024.txt.gz
PGS000040
(GRS_CeD)
PGP000028 |
Abraham G et al. PLoS Genet (2014)
Coeliac disease celiac disease 228
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000040/ScoringFiles/PGS000040.txt.gz
PGS000041
(GRS-DQ2.5-CeD)
PGP000029 |
Abraham G et al. Genome Med (2015)
Coeliac disease celiac disease 2,513
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000041/ScoringFiles/PGS000041.txt.gz
PGS000042
(GRS-DQ2.5-CeD-imputed)
PGP000029 |
Abraham G et al. Genome Med (2015)
Coeliac disease celiac disease 3,317
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000042/ScoringFiles/PGS000042.txt.gz
PGS000316
(GRS42_Coeliac)
PGP000093 |
Sharp SA et al. Aliment Pharmacol Ther (2020)
Coeliac disease celiac disease 53
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000316/ScoringFiles/PGS000316.txt.gz
PGS000833
(T1D)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Type 1 diabetes (T1D) type 1 diabetes mellitus 66
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000833/ScoringFiles/PGS000833.txt.gz
PGS000869
(T1D_48)
PGP000214 |
Aksit MA et al. J Clin Endocrinol Metab (2020)
Type 1 diabetes (T1D) type 1 diabetes mellitus 48
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000869/ScoringFiles/PGS000869.txt.gz
PGS001296
(GBE_HC648)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Insulin-dependent diabetes mellitus (time-to-event) type 1 diabetes mellitus 356
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001296/ScoringFiles/PGS001296.txt.gz
PGS001297
(GBE_HC337)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Type 1 diabetes (T1D) type 1 diabetes mellitus 69
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001297/ScoringFiles/PGS001297.txt.gz
PGS001300
(GBE_BIN21068)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Celiac disease or gluten sensitivity, diagnosed celiac disease 9
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001300/ScoringFiles/PGS001300.txt.gz
PGS001301
(GBE_HC303)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Malabsorption/coeliac disease celiac disease 428
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001301/ScoringFiles/PGS001301.txt.gz
PGS001817
(portability-PLR_250.1)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Type 1 diabetes (T1D) type 1 diabetes mellitus 825
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001817/ScoringFiles/PGS001817.txt.gz
PGS001856
(portability-PLR_557.1)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Celiac disease celiac disease 1,661
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001856/ScoringFiles/PGS001856.txt.gz
PGS001894
(portability-PLR_celiac_gluten)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Diagnosed with coeliac disease or gluten sensitivity celiac disease 484
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001894/ScoringFiles/PGS001894.txt.gz
PGS002025
(portability-ldpred2_250.1)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Type 1 diabetes (T1D) type 1 diabetes mellitus 106,800
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002025/ScoringFiles/PGS002025.txt.gz
PGS002067
(portability-ldpred2_557.1)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Celiac disease celiac disease 58,231
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002067/ScoringFiles/PGS002067.txt.gz
PGS002107
(portability-ldpred2_celiac_gluten)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Diagnosed with coeliac disease or gluten sensitivity celiac disease 39,066
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002107/ScoringFiles/PGS002107.txt.gz
PGS003749
(ModelT1D_under25)
PGP000472 |
Shoaib M et al. Genet Epidemiol (2023)
Type 1 diabetes (T1D) type 1 diabetes mellitus 6,612
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003749/ScoringFiles/PGS003749.txt.gz
PGS003750
(ModelT1D)
PGP000472 |
Shoaib M et al. Genet Epidemiol (2023)
Type 1 diabetes (T1D) type 1 diabetes mellitus 7,835
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003750/ScoringFiles/PGS003750.txt.gz
PGS003993
(dbslmm.auto.GCST90013445.T1D)
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Type 1 diabetes (T1D) type 1 diabetes mellitus 63,182
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003993/ScoringFiles/PGS003993.txt.gz
PGS004009
(lassosum.auto.GCST90013445.T1D)
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Type 1 diabetes (T1D) type 1 diabetes mellitus 4,031
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004009/ScoringFiles/PGS004009.txt.gz
PGS004020
(lassosum.CV.GCST90013445.T1D)
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Type 1 diabetes (T1D) type 1 diabetes mellitus 6,682
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004020/ScoringFiles/PGS004020.txt.gz
PGS004035
(ldpred2.auto.GCST90013445.T1D)
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Type 1 diabetes (T1D) type 1 diabetes mellitus 56,562
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004035/ScoringFiles/PGS004035.txt.gz
PGS004063
(megaprs.auto.GCST90013445.T1D)
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Type 1 diabetes (T1D) type 1 diabetes mellitus 56,288
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004063/ScoringFiles/PGS004063.txt.gz
PGS004078
(megaprs.CV.GCST90013445.T1D)
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Type 1 diabetes (T1D) type 1 diabetes mellitus 56,288
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004078/ScoringFiles/PGS004078.txt.gz
PGS004093
(prscs.auto.GCST90013445.T1D)
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Type 1 diabetes (T1D) type 1 diabetes mellitus 61,651
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004093/ScoringFiles/PGS004093.txt.gz
PGS004102
(prscs.CV.GCST90013445.T1D)
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Type 1 diabetes (T1D) type 1 diabetes mellitus 61,651
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004102/ScoringFiles/PGS004102.txt.gz
PGS004117
(pt_clump.auto.GCST90013445.T1D)
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Type 1 diabetes (T1D) type 1 diabetes mellitus 131
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004117/ScoringFiles/PGS004117.txt.gz
PGS004132
(pt_clump_nested.CV.GCST90013445.T1D)
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Type 1 diabetes (T1D) type 1 diabetes mellitus 354
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004132/ScoringFiles/PGS004132.txt.gz
PGS004147
(sbayesr.auto.GCST90013445.T1D)
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Type 1 diabetes (T1D) type 1 diabetes mellitus 45,996
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004147/ScoringFiles/PGS004147.txt.gz
PGS004162
(UKBB_EnsPGS.GCST90013445.T1D)
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Type 1 diabetes (T1D) type 1 diabetes mellitus 62,645
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004162/ScoringFiles/PGS004162.txt.gz
PGS004171
(t1d_1)
PGP000520 |
Raben TG et al. Sci Rep (2023)
Type 1 diabetes type 1 diabetes mellitus 520
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004171/ScoringFiles/PGS004171.txt.gz
PGS004172
(t1d_2)
PGP000520 |
Raben TG et al. Sci Rep (2023)
Type 1 diabetes type 1 diabetes mellitus 70
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004172/ScoringFiles/PGS004172.txt.gz
PGS004173
(t1d_3)
PGP000520 |
Raben TG et al. Sci Rep (2023)
Type 1 diabetes type 1 diabetes mellitus 295
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004173/ScoringFiles/PGS004173.txt.gz
PGS004174
(t1d_4)
PGP000520 |
Raben TG et al. Sci Rep (2023)
Type 1 diabetes type 1 diabetes mellitus 49
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004174/ScoringFiles/PGS004174.txt.gz
PGS004175
(t1d_5)
PGP000520 |
Raben TG et al. Sci Rep (2023)
Type 1 diabetes type 1 diabetes mellitus 315
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004175/ScoringFiles/PGS004175.txt.gz
PGS004874
(INTERVENE_MegaPRS_T1D)
PGP000618 |
Jermy B et al. Nat Commun (2024)
Type 1 diabetes (T1D) type 1 diabetes mellitus 56,916
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004874/ScoringFiles/PGS004874.txt.gz
PGS004930
(celiac_disease_snpnet_combined)
PGP000665 |
Moreno-Grau S et al. Human Genomics (2024)
Celiac disease celiac disease 463
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004930/ScoringFiles/PGS004930.txt.gz
PGS005398
(T1D_PRS_combined)
PGP000781 |
Qu HQ et al. Diabetes Res Clin Pract (2026)
Type 1 diabetes (T1D) type 1 diabetes mellitus 645,391
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005398/ScoringFiles/PGS005398.txt.gz
PGS005399
(T1D_PRS_male)
PGP000781 |
Qu HQ et al. Diabetes Res Clin Pract (2026)
Type 1 diabetes (T1D) type 1 diabetes mellitus 264,227
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005399/ScoringFiles/PGS005399.txt.gz
PGS005400
(T1D_PRS_female)
PGP000781 |
Qu HQ et al. Diabetes Res Clin Pract (2026)
Type 1 diabetes (T1D) type 1 diabetes mellitus 128,279
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005400/ScoringFiles/PGS005400.txt.gz
PGS012555
(TA-PS)
PGP000798 |
Jumentier B et al. Diabetologia (2026)
Type 1 diabetes (T1D) type 1 diabetes mellitus 1,116,345
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS012555/ScoringFiles/PGS012555.txt.gz

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)
Evaluated Score 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
PPM000132 PGS000021
(GRS1)
PSS000083|
European Ancestry|
2,768 individuals
PGP000038 |
Patel KA et al. Diabetes (2016)
|Ext.
Reported Trait: Type 1 diabetes aetiology (non-monogenic) AUROC: 0.87 [0.86, 0.89] Testing the ability of the GRS to discriminate between two sets of cases: - Positive: individuals with type 1 diabetes - Negative: individuals with diabetes and a maturity-onset diabetes of young (MODY) mutation
PPM000041 PGS000021
(GRS1)
PSS000026|
European Ancestry|
223 individuals
PGP000011 |
Oram RA et al. Diabetes Care (2015)
Reported Trait: Severe insulin deficiency AUROC: 0.96 [0.94, 0.99] AUROC (without covariates): 0.87 islet auto-antibody status, body mass index (BMI), age at diagnosis
PPM000046 PGS000021
(GRS1)
PSS000030|
African Ancestry|
3,949 individuals
PGP000013 |
Onengut-Gumuscu S et al. Diabetes Care (2019)
|Ext.
Reported Trait: Type 1 diabetes AUROC: 0.798
PPM000049 PGS000021
(GRS1)
PSS000032|
European Ancestry|
374,000 individuals
PGP000014 |
Sharp SA et al. Diabetes Care (2019)
|Ext.
Reported Trait: Type 1 diabetes AUROC: 0.893
PPM023044 PGS000021
(GRS1)
PSS012104|
Multi-ancestry (including European)|
109,594 individuals
PGP000764 |
Yang PK et al. Diabetes Care (2024)
|Ext.
Reported Trait: Diabetes outcome (taking insulin) Hazard ratio (HR, high vs low tertile): 1.42 [1.34, 1.51] sex, age, HARE ancestry, and BMI at enrollment
PPM023045 PGS000021
(GRS1)
PSS012104|
Multi-ancestry (including European)|
109,594 individuals
PGP000764 |
Yang PK et al. Diabetes Care (2024)
|Ext.
Reported Trait: Diabetes outcome (DKA) Hazard ratio (HR, high vs low tertile): 3.28 [2.76, 3.9] sex, age, HARE ancestry, and BMI at enrollment
PPM023046 PGS000021
(GRS1)
PSS012104|
Multi-ancestry (including European)|
109,594 individuals
PGP000764 |
Yang PK et al. Diabetes Care (2024)
|Ext.
Reported Trait: Diabetes outcome (Hypoglycemia diagnosis at ED) Hazard ratio (HR, high vs low tertile): 1.56 [1.38, 1.77] sex, age, HARE ancestry, and BMI at enrollment
PPM023047 PGS000021
(GRS1)
PSS012104|
Multi-ancestry (including European)|
109,594 individuals
PGP000764 |
Yang PK et al. Diabetes Care (2024)
|Ext.
Reported Trait: Diabetes outcome (Outpatient glucose <50 mg/dL) Hazard ratio (HR, high vs low tertile): 1.91 [1.76, 2.09] sex, age, HARE ancestry, and BMI at enrollment
PPM023048 PGS000021
(GRS1)
PSS012104|
Multi-ancestry (including European)|
109,594 individuals
PGP000764 |
Yang PK et al. Diabetes Care (2024)
|Ext.
Reported Trait: Diabetes outcome (Years to insulin) Hazard ratio (HR, high vs low tertile): 0.36 [0.31, 0.42] sex, age, HARE ancestry, and BMI at enrollment
PPM023049 PGS000021
(GRS1)
PSS012104|
Multi-ancestry (including European)|
109,594 individuals
PGP000764 |
Yang PK et al. Diabetes Care (2024)
|Ext.
Reported Trait: Diabetes outcome (HbA1c at onset) Hazard ratio (HR, high vs low tertile): 1.28 [1.2, 1.37] sex, age, HARE ancestry, and BMI at enrollment
PPM023050 PGS000021
(GRS1)
PSS012104|
Multi-ancestry (including European)|
109,594 individuals
PGP000764 |
Yang PK et al. Diabetes Care (2024)
|Ext.
Reported Trait: Diabetes outcome (BMI at onset) Hazard ratio (HR, high vs low tertile): 0.3 [0.26, 0.36] sex, age, HARE ancestry, and BMI at enrollment
PPM023051 PGS000021
(GRS1)
PSS012104|
Multi-ancestry (including European)|
109,594 individuals
PGP000764 |
Yang PK et al. Diabetes Care (2024)
|Ext.
Reported Trait: Total cholesterol-HDL Hazard ratio (HR, high vs low tertile): 0.17 [0.05, 0.56] sex, age, HARE ancestry, and BMI at enrollment
PPM023052 PGS000021
(GRS1)
PSS012104|
Multi-ancestry (including European)|
109,594 individuals
PGP000764 |
Yang PK et al. Diabetes Care (2024)
|Ext.
Reported Trait: Chronic kidney disease Hazard ratio (HR, high vs low tertile): 1.08 [1.02, 1.15] sex, age, HARE ancestry, and BMI at enrollment
PPM023053 PGS000021
(GRS1)
PSS012104|
Multi-ancestry (including European)|
109,594 individuals
PGP000764 |
Yang PK et al. Diabetes Care (2024)
|Ext.
Reported Trait: Atrial fibrillation Hazard ratio (HR, high vs low tertile): 0.91 [0.84, 0.98] sex, age, HARE ancestry, and BMI at enrollment
PPM030709 PGS000021
(GRS1)
PSS012260|
European Ancestry|
158 individuals
PGP000807 |
Davis TME et al. Intern Med J (2024)
|Ext.
Reported Trait: Type 1 diabetes vs latent autoimmune diabetes/type 2 diabetes AUROC: 0.662 [0.567, 0.756]
PPM000042 PGS000022
(T1D_GRS)
PSS000029|
European Ancestry|
1,447 individuals
PGP000012 |
Perry DJ et al. Sci Rep (2018)
Reported Trait: Type 1 diabetes AUROC: 0.8508 AUROCs are reported with respect to unrelated-control samples
PPM000043 PGS000022
(T1D_GRS)
PSS000028|
Hispanic or Latin American Ancestry|
252 individuals
PGP000012 |
Perry DJ et al. Sci Rep (2018)
Reported Trait: Type 1 diabetes AUROC: 0.9003 AUROCs are reported with respect to unrelated-control samples
PPM000044 PGS000022
(T1D_GRS)
PSS000027|
African Ancestry|
299 individuals
PGP000012 |
Perry DJ et al. Sci Rep (2018)
Reported Trait: Type 1 diabetes AUROC: 0.7522 AUROCs are reported with respect to unrelated-control samples
PPM000045 PGS000023
(AA_GRS)
PSS000030|
African Ancestry|
3,949 individuals
PGP000013 |
Onengut-Gumuscu S et al. Diabetes Care (2019)
Reported Trait: Type 1 diabetes AUROC: 0.87 NOTE: Evaluated using cross-validation on training samples (20% heldout, 1000 iterations)
PPM000047 PGS000023
(AA_GRS)
PSS000031|
African Ancestry|
145 individuals
PGP000013 |
Onengut-Gumuscu S et al. Diabetes Care (2019)
Reported Trait: Type 1 diabetes AUROC: 0.779
PPM018536 PGS000023
(AA_GRS)
PSS011012|
Multi-ancestry (including European)|
39,820 individuals
PGP000477 |
Deutsch AJ et al. Diabetes Care (2023)
|Ext.
Reported Trait: Type 1 diabetes AUROC: 0.781
PPM018537 PGS000023
(AA_GRS)
PSS011009|
Multi-ancestry (including European)|
57,643 individuals
PGP000477 |
Deutsch AJ et al. Diabetes Care (2023)
|Ext.
Reported Trait: Type 1 diabetes AUROC: 0.817
PPM018539 PGS000023
(AA_GRS)
PSS011011|
European Ancestry|
16,663 individuals
PGP000477 |
Deutsch AJ et al. Diabetes Care (2023)
|Ext.
Reported Trait: Type 1 diabetes PPV (+PRS): 97.0 %
PPV (reference): 86.0 %
eMERGE type 1 diabetes algorithm
PPM018541 PGS000023
(AA_GRS)
PSS011010|
Multi-ancestry (excluding European)|
40,980 individuals
PGP000477 |
Deutsch AJ et al. Diabetes Care (2023)
|Ext.
Reported Trait: Type 1 diabetes PPV (+PRS): 86.0 %
PPV (reference): 71.0 %
eMERGE type 1 diabetes algorithm
PPM018543 PGS000023
(AA_GRS)
PSS011013|
Multi-ancestry (excluding European)|
4,881 individuals
PGP000477 |
Deutsch AJ et al. Diabetes Care (2023)
|Ext.
Reported Trait: Type 1 diabetes PPV (+PRS): 83.0 %
PPV (reference): 53.0 %
eMERGE type 1 diabetes algorithm
PPM021725 PGS000023
(AA_GRS)
PSS011762|
European Ancestry|
8,417 individuals
PGP000665 |
Moreno-Grau S et al. Human Genomics (2024)
|Ext.
Reported Trait: Type 1 diabetes mellitus OR: 2.31 [2.0, 2.68] AUROC: 0.77
PPM000048 PGS000024
(GRS2)
PSS000032|
European Ancestry|
374,000 individuals
PGP000014 |
Sharp SA et al. Diabetes Care (2019)
Reported Trait: Type 1 diabetes AUROC: 0.921 Youden index: 0.698
PPM000753 PGS000024
(GRS2)
PSS000368|
Ancestry Not Reported|
7,798 individuals
PGP000091 |
Ferrat LA et al. Nat Med (2020)
|Ext.
Reported Trait: Type 1 diabetes (5 years horizon time; landmark age 2 years) AUROC: 0.93 autoantibodies, family history
PPM000754 PGS000024
(GRS2)
PSS000368|
Ancestry Not Reported|
7,798 individuals
PGP000091 |
Ferrat LA et al. Nat Med (2020)
|Ext.
Reported Trait: Type 1 diabetes (8 years horizon time; landmark age 2 years) AUROC: 0.87 autoantibodies, family history
PPM000755 PGS000024
(GRS2)
PSS000368|
Ancestry Not Reported|
7,798 individuals
PGP000091 |
Ferrat LA et al. Nat Med (2020)
|Ext.
Reported Trait: Type 1 diabetes (5 years horizon time; landmark age 4 years) AUROC: 0.96 autoantibodies, family history
PPM000751 PGS000024
(GRS2)
PSS000368|
Ancestry Not Reported|
7,798 individuals
PGP000091 |
Ferrat LA et al. Nat Med (2020)
|Ext.
Reported Trait: Type 1 diabetes (1 year horizon time; landmark age 2 years) AUROC: 0.96 autoantibodies, family history
PPM000752 PGS000024
(GRS2)
PSS000368|
Ancestry Not Reported|
7,798 individuals
PGP000091 |
Ferrat LA et al. Nat Med (2020)
|Ext.
Reported Trait: Type 1 diabetes (3 years horizon time; landmark age 2 years) AUROC: 0.94 autoantibodies, family history
PPM000750 PGS000024
(GRS2)
PSS000368|
Ancestry Not Reported|
7,798 individuals
PGP000091 |
Ferrat LA et al. Nat Med (2020)
|Ext.
Reported Trait: Type 1 diabetes (by age 8; landmark age 2 years) AUROC: 0.73 [0.7, 0.77]
PPM002249 PGS000024
(GRS2)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
|Ext.
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.0 [0.93, 1.07] PC1-10 8 proxy variants were used to evaluate this score
PPM002250 PGS000024
(GRS2)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
|Ext.
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.0 [0.93, 1.07] PC1-10 8 proxy variants were used to evaluate this score
PPM002251 PGS000024
(GRS2)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
|Ext.
Reported Trait: Moderate Obesity-related Diabetes OR: 1.01 [0.95, 1.08] PC1-10 8 proxy variants were used to evaluate this score
PPM002252 PGS000024
(GRS2)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
|Ext.
Reported Trait: Moderate Age-Related Diabetes OR: 0.99 [0.94, 1.04] PC1-10 8 proxy variants were used to evaluate this score
PPM002248 PGS000024
(GRS2)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
|Ext.
Reported Trait: Severe Autoimmune Diabetes OR: 2.55 [2.28, 2.86] PC1-10 8 proxy variants were used to evaluate this score
PPM014801 PGS000024
(GRS2)
PSS009895|
European Ancestry|
1,168 individuals
PGP000338 |
Oram RA et al. Diabetes Care (2022)
|Ext.
Reported Trait: Diabetes autoantibody positive insulin sensitive AUROC: 0.864 [0.823, 0.905]
PPM014803 PGS000024
(GRS2)
PSS009893|
African Ancestry|
366 individuals
PGP000338 |
Oram RA et al. Diabetes Care (2022)
|Ext.
Reported Trait: Diabetes autoantibody positive insulin sensitive AUROC: 0.851 [0.805, 0.897]
PPM014805 PGS000024
(GRS2)
PSS009894|
Hispanic or Latin American Ancestry|
412 individuals
PGP000338 |
Oram RA et al. Diabetes Care (2022)
|Ext.
Reported Trait: Diabetes autoantibody positive insulin sensitive AUROC: 0.935 [0.906, 0.964]
PPM014807 PGS000024
(GRS2)
PSS009896|
Ancestry Not Reported|
99 individuals
PGP000338 |
Oram RA et al. Diabetes Care (2022)
|Ext.
Reported Trait: Diabetes autoantibody positive insulin sensitive AUROC: 0.79 [0.679, 0.902]
PPM018532 PGS000024
(GRS2)
PSS011012|
Multi-ancestry (including European)|
39,820 individuals
PGP000477 |
Deutsch AJ et al. Diabetes Care (2023)
|Ext.
Reported Trait: Type 1 diabetes AUROC: 0.875
PPM018533 PGS000024
(GRS2)
PSS011009|
Multi-ancestry (including European)|
57,643 individuals
PGP000477 |
Deutsch AJ et al. Diabetes Care (2023)
|Ext.
Reported Trait: Type 1 diabetes AUROC: 0.822
PPM018534 PGS000024
(GRS2)
PSS011014|
European Ancestry|
34,939 individuals
PGP000477 |
Deutsch AJ et al. Diabetes Care (2023)
|Ext.
Reported Trait: Type 1 diabetes AUROC: 0.888
PPM018535 PGS000024
(GRS2)
PSS011014|
European Ancestry|
34,939 individuals
PGP000477 |
Deutsch AJ et al. Diabetes Care (2023)
|Ext.
Reported Trait: Type 1 diabetes AUROC: 0.858
PPM018538 PGS000024
(GRS2)
PSS011011|
European Ancestry|
16,663 individuals
PGP000477 |
Deutsch AJ et al. Diabetes Care (2023)
|Ext.
Reported Trait: Type 1 diabetes PPV (+PRS): 100.0 %
PPV (reference): 86.0 %
eMERGE type 1 diabetes algorithm
PPM018540 PGS000024
(GRS2)
PSS011010|
Multi-ancestry (excluding European)|
40,980 individuals
PGP000477 |
Deutsch AJ et al. Diabetes Care (2023)
|Ext.
Reported Trait: Type 1 diabetes PPV (+PRS): 93.0 %
PPV (reference): 71.0 %
eMERGE type 1 diabetes algorithm
PPM018542 PGS000024
(GRS2)
PSS011014|
European Ancestry|
34,939 individuals
PGP000477 |
Deutsch AJ et al. Diabetes Care (2023)
|Ext.
Reported Trait: Type 1 diabetes PPV (+PRS): 97.0 %
PPV (reference): 71.0 %
eMERGE type 1 diabetes algorithm
PPM020098 PGS000024
(GRS2)
PSS011295|
Ancestry Not Reported|
1,798 individuals
PGP000519 |
Thomas NJ et al. Diabetes Care (2023)
|Ext.
Reported Trait: Type 1 diabetes vs autoantibody negative T2D p-value (inferior to): 0.0001
PPM021124 PGS000024
(GRS2)
PSS011531|
European Ancestry|
9,465 individuals
PGP000614 |
Qu HQ et al. Diabetes Obes Metab (2021)
|Ext.
Reported Trait: Type 1 diabetes β: -0.22 AUROC: 0.87
PPM021125 PGS000024
(GRS2)
PSS011532|
European Ancestry|
9,450 individuals
PGP000614 |
Qu HQ et al. Diabetes Obes Metab (2021)
|Ext.
Reported Trait: Type 1 diabetes β: -0.234 AUROC: 0.862
PPM000093 PGS000040
(GRS_CeD)
PSS000059|
European Ancestry|
2,476 individuals
PGP000028 |
Abraham G et al. PLoS Genet (2014)
Reported Trait: Coeliac disease AUROC: 0.9
PPM000094 PGS000040
(GRS_CeD)
PSS000061|
European Ancestry|
1,040 individuals
PGP000028 |
Abraham G et al. PLoS Genet (2014)
Reported Trait: Coeliac disease AUROC: 0.87
PPM000095 PGS000040
(GRS_CeD)
PSS000062|
European Ancestry|
1,649 individuals
PGP000028 |
Abraham G et al. PLoS Genet (2014)
Reported Trait: Coeliac disease AUROC: 0.86
PPM000096 PGS000040
(GRS_CeD)
PSS000063|
European Ancestry|
2,200 individuals
PGP000028 |
Abraham G et al. PLoS Genet (2014)
Reported Trait: Coeliac disease AUROC: 0.87
PPM000097 PGS000040
(GRS_CeD)
PSS000060|
European Ancestry|
10,304 individuals
PGP000028 |
Abraham G et al. PLoS Genet (2014)
Reported Trait: Coeliac disease AUROC: 0.87
PPM000098 PGS000040
(GRS_CeD)
PSS000064|
European Ancestry|
1,696 individuals
PGP000029 |
Abraham G et al. Genome Med (2015)
|Ext.
Reported Trait: Coeliac disease AUROC: 0.831 [0.808, 0.85]
PPM000099 PGS000040
(GRS_CeD)
PSS000065|
European Ancestry|
1,237 individuals
PGP000029 |
Abraham G et al. Genome Med (2015)
|Ext.
Reported Trait: Coeliac disease in HLA-DQ2.5 carriers AUROC: 0.669 [0.625, 0.713]
PPM000100 PGS000041
(GRS-DQ2.5-CeD)
PSS000065|
European Ancestry|
1,237 individuals
PGP000029 |
Abraham G et al. Genome Med (2015)
Reported Trait: Coeliac disease in HLA-DQ2.5 carriers AUROC: 0.718 [0.676, 0.761]
PPM000101 PGS000042
(GRS-DQ2.5-CeD-imputed)
PSS000065|
European Ancestry|
1,237 individuals
PGP000029 |
Abraham G et al. Genome Med (2015)
Reported Trait: Coeliac disease in HLA-DQ2.5 carriers AUROC: 0.73 [0.687, 0.772]
PPM000805 PGS000316
(GRS42_Coeliac)
PSS000381|
Ancestry Not Reported|
154 individuals
PGP000093 |
Sharp SA et al. Aliment Pharmacol Ther (2020)
Reported Trait: Coeliac disease AUROC: 0.835 [0.76, 0.911]
PPM000804 PGS000316
(GRS42_Coeliac)
PSS000382|
European Ancestry|
379,767 individuals
PGP000093 |
Sharp SA et al. Aliment Pharmacol Ther (2020)
Reported Trait: Coeliac disease AUROC: 0.879 [0.87, 0.888]
PPM002243 PGS000833
(T1D)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.39 [1.25, 1.54] PC1-10
PPM002246 PGS000833
(T1D)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.04 [0.97, 1.11] PC1-10
PPM002247 PGS000833
(T1D)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.02 [0.97, 1.07] PC1-10
PPM002244 PGS000833
(T1D)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.01 [0.94, 1.08] PC1-10
PPM002245 PGS000833
(T1D)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.03 [0.96, 1.11] PC1-10
PPM002414 PGS000869
(T1D_48)
PSS001092|
Ancestry Not Reported|
5,740 individuals
PGP000214 |
Aksit MA et al. J Clin Endocrinol Metab (2020)
Reported Trait: Cystic-fibrosis related diabetes HR: 1.077 PCs(1-4), site of recruitment
PPM008978 PGS001296
(GBE_HC648)
PSS004570|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE insulin-dependent diabetes mellitus AUROC: 0.66885 [0.62172, 0.71599] : 0.04054
Incremental AUROC (full-covars): -0.01128
PGS R2 (no covariates): 0.00021
PGS AUROC (no covariates): 0.51906 [0.4689, 0.56923]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008979 PGS001296
(GBE_HC648)
PSS004571|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE insulin-dependent diabetes mellitus AUROC: 0.89264 [0.80447, 0.98081] : 0.19006
Incremental AUROC (full-covars): -0.01413
PGS R2 (no covariates): 0.00422
PGS AUROC (no covariates): 0.43531 [0.15162, 0.71901]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008980 PGS001296
(GBE_HC648)
PSS004572|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE insulin-dependent diabetes mellitus AUROC: 0.70536 [0.66494, 0.74577] : 0.0607
Incremental AUROC (full-covars): 0.12077
PGS R2 (no covariates): 0.05496
PGS AUROC (no covariates): 0.68941 [0.64672, 0.73209]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008981 PGS001296
(GBE_HC648)
PSS004573|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE insulin-dependent diabetes mellitus AUROC: 0.67679 [0.6379, 0.71568] : 0.04266
Incremental AUROC (full-covars): -0.01593
PGS R2 (no covariates): 0.0016
PGS AUROC (no covariates): 0.54249 [0.49552, 0.58946]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008982 PGS001296
(GBE_HC648)
PSS004574|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE insulin-dependent diabetes mellitus AUROC: 0.65986 [0.63673, 0.68299] : 0.03385
Incremental AUROC (full-covars): 0.06785
PGS R2 (no covariates): 0.02496
PGS AUROC (no covariates): 0.62694 [0.60131, 0.65256]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008983 PGS001297
(GBE_HC337)
PSS004457|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Type 1 diabetes AUROC: 0.78146 [0.64554, 0.91738] : 0.08635
Incremental AUROC (full-covars): -0.05504
PGS R2 (no covariates): 0.00185
PGS AUROC (no covariates): 0.41884 [0.19064, 0.64704]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008984 PGS001297
(GBE_HC337)
PSS004458|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Type 1 diabetes AUROC: 0.79737 [0.708, 0.88674] : 0.11683
Incremental AUROC (full-covars): 0.09636
PGS R2 (no covariates): 0.0912
PGS AUROC (no covariates): 0.77118 [0.67108, 0.87128]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008985 PGS001297
(GBE_HC337)
PSS004459|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Type 1 diabetes AUROC: 0.81031 [0.66359, 0.95703] : 0.06825
Incremental AUROC (full-covars): -0.01908
PGS R2 (no covariates): 6e-05
PGS AUROC (no covariates): 0.53853 [0.37761, 0.69945]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008986 PGS001297
(GBE_HC337)
PSS004460|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Type 1 diabetes AUROC: 0.7643 [0.7041, 0.8245] : 0.06625
Incremental AUROC (full-covars): 0.19149
PGS R2 (no covariates): 0.06103
PGS AUROC (no covariates): 0.76543 [0.70744, 0.82342]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008997 PGS001300
(GBE_BIN21068)
PSS003667|
African Ancestry|
969 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity AUROC: 0.77521 [0.67165, 0.87877] : 0.10494
Incremental AUROC (full-covars): 0.00391
PGS R2 (no covariates): 0.00465
PGS AUROC (no covariates): 0.54048 [0.39518, 0.68579]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008998 PGS001300
(GBE_BIN21068)
PSS003668|
European Ancestry|
9,024 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity AUROC: 0.67118 [0.63561, 0.70676] : 0.04801
Incremental AUROC (full-covars): 0.03638
PGS R2 (no covariates): 0.02217
PGS AUROC (no covariates): 0.58541 [0.54195, 0.62888]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008999 PGS001300
(GBE_BIN21068)
PSS003669|
South Asian Ancestry|
1,145 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity AUROC: 0.78803 [0.69728, 0.87878] : 0.09336
Incremental AUROC (full-covars): 0.00365
PGS R2 (no covariates): 0.00127
PGS AUROC (no covariates): 0.56184 [0.43287, 0.6908]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009000 PGS001300
(GBE_BIN21068)
PSS003670|
European Ancestry|
24,310 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity AUROC: 0.6734 [0.64935, 0.69745] : 0.04185
Incremental AUROC (full-covars): 0.08398
PGS R2 (no covariates): 0.02957
PGS AUROC (no covariates): 0.62888 [0.60094, 0.65683]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009001 PGS001301
(GBE_HC303)
PSS004423|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Malabsorption/coeliac disease AUROC: 0.84259 [0.73437, 0.95081] : 0.12308
Incremental AUROC (full-covars): 0.02463
PGS R2 (no covariates): 0.03018
PGS AUROC (no covariates): 0.68151 [0.48835, 0.87467]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009002 PGS001301
(GBE_HC303)
PSS004424|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Malabsorption/coeliac disease AUROC: 0.81472 [0.7798, 0.84965] : 0.15108
Incremental AUROC (full-covars): 0.1791
PGS R2 (no covariates): 0.14221
PGS AUROC (no covariates): 0.80994 [0.77441, 0.84547]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009003 PGS001301
(GBE_HC303)
PSS004425|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Malabsorption/coeliac disease AUROC: 0.81699 [0.73267, 0.9013] : 0.11397
Incremental AUROC (full-covars): 0.06035
PGS R2 (no covariates): 0.07098
PGS AUROC (no covariates): 0.76239 [0.65258, 0.87221]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009004 PGS001301
(GBE_HC303)
PSS004426|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Malabsorption/coeliac disease AUROC: 0.83351 [0.81372, 0.85329] : 0.14905
Incremental AUROC (full-covars): 0.25775
PGS R2 (no covariates): 0.14224
PGS AUROC (no covariates): 0.82867 [0.80826, 0.84908]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009436 PGS001817
(portability-PLR_250.1)
PSS009287|
European Ancestry|
18,975 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): 0.0752 [0.061, 0.0893] sex, age, birth date, deprivation index, 16 PCs
PPM009437 PGS001817
(portability-PLR_250.1)
PSS009061|
European Ancestry|
3,954 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): 0.0684 [0.0372, 0.0994] sex, age, birth date, deprivation index, 16 PCs
PPM009438 PGS001817
(portability-PLR_250.1)
PSS008615|
European Ancestry|
6,300 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): 0.0739 [0.0493, 0.0985] sex, age, birth date, deprivation index, 16 PCs
PPM009439 PGS001817
(portability-PLR_250.1)
PSS008391|
Greater Middle Eastern Ancestry|
1,107 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): 0.0349 [-0.0246, 0.0941] sex, age, birth date, deprivation index, 16 PCs
PPM009440 PGS001817
(portability-PLR_250.1)
PSS008169|
South Asian Ancestry|
5,228 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): 0.0224 [-0.0047, 0.0496] sex, age, birth date, deprivation index, 16 PCs
PPM009441 PGS001817
(portability-PLR_250.1)
PSS007956|
East Asian Ancestry|
1,729 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): -0.0001 [-0.0475, 0.0474] sex, age, birth date, deprivation index, 16 PCs
PPM009442 PGS001817
(portability-PLR_250.1)
PSS007737|
African Ancestry|
2,200 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): -0.0006 [-0.0426, 0.0414] sex, age, birth date, deprivation index, 16 PCs
PPM009443 PGS001817
(portability-PLR_250.1)
PSS008840|
African Ancestry|
3,490 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): -0.0187 [-0.052, 0.0146] sex, age, birth date, deprivation index, 16 PCs
PPM009738 PGS001856
(portability-PLR_557.1)
PSS009331|
European Ancestry|
16,106 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Celiac disease Partial Correlation (partial-r): 0.1196 [0.1043, 0.1348] sex, age, birth date, deprivation index, 16 PCs
PPM009739 PGS001856
(portability-PLR_557.1)
PSS009105|
European Ancestry|
3,509 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Celiac disease Partial Correlation (partial-r): 0.0779 [0.0448, 0.1108] sex, age, birth date, deprivation index, 16 PCs
PPM009740 PGS001856
(portability-PLR_557.1)
PSS008659|
European Ancestry|
5,445 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Celiac disease Partial Correlation (partial-r): 0.097 [0.0706, 0.1233] sex, age, birth date, deprivation index, 16 PCs
PPM009741 PGS001856
(portability-PLR_557.1)
PSS008433|
Greater Middle Eastern Ancestry|
998 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Celiac disease Partial Correlation (partial-r): 0.0652 [0.0025, 0.1273] sex, age, birth date, deprivation index, 16 PCs
PPM009742 PGS001856
(portability-PLR_557.1)
PSS008213|
South Asian Ancestry|
5,277 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Celiac disease Partial Correlation (partial-r): 0.0535 [0.0265, 0.0805] sex, age, birth date, deprivation index, 16 PCs
PPM009743 PGS001856
(portability-PLR_557.1)
PSS007778|
African Ancestry|
2,091 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Celiac disease Partial Correlation (partial-r): 0.0261 [-0.017, 0.0691] sex, age, birth date, deprivation index, 16 PCs
PPM009744 PGS001856
(portability-PLR_557.1)
PSS008882|
African Ancestry|
3,455 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Celiac disease Partial Correlation (partial-r): 0.028 [-0.0054, 0.0614] sex, age, birth date, deprivation index, 16 PCs
PPM010037 PGS001894
(portability-PLR_celiac_gluten)
PSS009164|
European Ancestry|
1,354 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity Partial Correlation (partial-r): 0.0796 [0.026, 0.1327] sex, age, birth date, deprivation index, 16 PCs
PPM010038 PGS001894
(portability-PLR_celiac_gluten)
PSS008718|
European Ancestry|
2,442 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity Partial Correlation (partial-r): 0.0358 [-0.0041, 0.0755] sex, age, birth date, deprivation index, 16 PCs
PPM010039 PGS001894
(portability-PLR_celiac_gluten)
PSS008492|
Greater Middle Eastern Ancestry|
208 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity Partial Correlation (partial-r): 0.0295 [-0.1141, 0.1719] sex, age, birth date, deprivation index, 16 PCs
PPM010040 PGS001894
(portability-PLR_celiac_gluten)
PSS008270|
South Asian Ancestry|
908 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity Partial Correlation (partial-r): 0.0219 [-0.0439, 0.0876] sex, age, birth date, deprivation index, 16 PCs
PPM010041 PGS001894
(portability-PLR_celiac_gluten)
PSS007834|
African Ancestry|
400 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity Partial Correlation (partial-r): -0.0127 [-0.1132, 0.088] sex, age, birth date, deprivation index, 16 PCs
PPM010042 PGS001894
(portability-PLR_celiac_gluten)
PSS008938|
African Ancestry|
526 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity Partial Correlation (partial-r): 0.0162 [-0.0711, 0.1032] sex, age, birth date, deprivation index, 16 PCs
PPM010036 PGS001894
(portability-PLR_celiac_gluten)
PSS009390|
European Ancestry|
7,142 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity Partial Correlation (partial-r): 0.0993 [0.0763, 0.1223] sex, age, birth date, deprivation index, 16 PCs
PPM011074 PGS002025
(portability-ldpred2_250.1)
PSS009287|
European Ancestry|
18,975 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): 0.0824 [0.0682, 0.0965] sex, age, birth date, deprivation index, 16 PCs
PPM011075 PGS002025
(portability-ldpred2_250.1)
PSS009061|
European Ancestry|
3,954 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): 0.0666 [0.0354, 0.0976] sex, age, birth date, deprivation index, 16 PCs
PPM011076 PGS002025
(portability-ldpred2_250.1)
PSS008615|
European Ancestry|
6,300 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): 0.0719 [0.0472, 0.0964] sex, age, birth date, deprivation index, 16 PCs
PPM011077 PGS002025
(portability-ldpred2_250.1)
PSS008391|
Greater Middle Eastern Ancestry|
1,107 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): 0.0529 [-0.0066, 0.112] sex, age, birth date, deprivation index, 16 PCs
PPM011078 PGS002025
(portability-ldpred2_250.1)
PSS008169|
South Asian Ancestry|
5,228 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): 0.0228 [-0.0044, 0.0499] sex, age, birth date, deprivation index, 16 PCs
PPM011079 PGS002025
(portability-ldpred2_250.1)
PSS007956|
East Asian Ancestry|
1,729 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): -0.0048 [-0.0522, 0.0427] sex, age, birth date, deprivation index, 16 PCs
PPM011080 PGS002025
(portability-ldpred2_250.1)
PSS007737|
African Ancestry|
2,200 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): 0.0089 [-0.0331, 0.0509] sex, age, birth date, deprivation index, 16 PCs
PPM011081 PGS002025
(portability-ldpred2_250.1)
PSS008840|
African Ancestry|
3,490 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): -0.013 [-0.0463, 0.0203] sex, age, birth date, deprivation index, 16 PCs
PPM011398 PGS002067
(portability-ldpred2_557.1)
PSS009331|
European Ancestry|
16,106 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Celiac disease Partial Correlation (partial-r): 0.1241 [0.1088, 0.1393] sex, age, birth date, deprivation index, 16 PCs
PPM011400 PGS002067
(portability-ldpred2_557.1)
PSS008659|
European Ancestry|
5,445 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Celiac disease Partial Correlation (partial-r): 0.0979 [0.0714, 0.1242] sex, age, birth date, deprivation index, 16 PCs
PPM011401 PGS002067
(portability-ldpred2_557.1)
PSS008433|
Greater Middle Eastern Ancestry|
998 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Celiac disease Partial Correlation (partial-r): 0.0718 [0.0092, 0.1339] sex, age, birth date, deprivation index, 16 PCs
PPM011402 PGS002067
(portability-ldpred2_557.1)
PSS008213|
South Asian Ancestry|
5,277 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Celiac disease Partial Correlation (partial-r): 0.0512 [0.0242, 0.0781] sex, age, birth date, deprivation index, 16 PCs
PPM011403 PGS002067
(portability-ldpred2_557.1)
PSS007778|
African Ancestry|
2,091 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Celiac disease Partial Correlation (partial-r): 0.0094 [-0.0337, 0.0525] sex, age, birth date, deprivation index, 16 PCs
PPM011404 PGS002067
(portability-ldpred2_557.1)
PSS008882|
African Ancestry|
3,455 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Celiac disease Partial Correlation (partial-r): 0.0241 [-0.0093, 0.0575] sex, age, birth date, deprivation index, 16 PCs
PPM011399 PGS002067
(portability-ldpred2_557.1)
PSS009105|
European Ancestry|
3,509 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Celiac disease Partial Correlation (partial-r): 0.0695 [0.0364, 0.1024] sex, age, birth date, deprivation index, 16 PCs
PPM011712 PGS002107
(portability-ldpred2_celiac_gluten)
PSS009390|
European Ancestry|
7,142 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity Partial Correlation (partial-r): 0.0964 [0.0733, 0.1193] sex, age, birth date, deprivation index, 16 PCs
PPM011713 PGS002107
(portability-ldpred2_celiac_gluten)
PSS009164|
European Ancestry|
1,354 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity Partial Correlation (partial-r): 0.0848 [0.0313, 0.1379] sex, age, birth date, deprivation index, 16 PCs
PPM011714 PGS002107
(portability-ldpred2_celiac_gluten)
PSS008718|
European Ancestry|
2,442 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity Partial Correlation (partial-r): 0.041 [0.0012, 0.0807] sex, age, birth date, deprivation index, 16 PCs
PPM011715 PGS002107
(portability-ldpred2_celiac_gluten)
PSS008492|
Greater Middle Eastern Ancestry|
208 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity Partial Correlation (partial-r): 0.0206 [-0.1229, 0.1632] sex, age, birth date, deprivation index, 16 PCs
PPM011716 PGS002107
(portability-ldpred2_celiac_gluten)
PSS008270|
South Asian Ancestry|
908 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity Partial Correlation (partial-r): 0.0237 [-0.0422, 0.0893] sex, age, birth date, deprivation index, 16 PCs
PPM011717 PGS002107
(portability-ldpred2_celiac_gluten)
PSS007834|
African Ancestry|
400 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity Partial Correlation (partial-r): -0.0242 [-0.1245, 0.0766] sex, age, birth date, deprivation index, 16 PCs
PPM011718 PGS002107
(portability-ldpred2_celiac_gluten)
PSS008938|
African Ancestry|
526 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity Partial Correlation (partial-r): 0.0172 [-0.0701, 0.1042] sex, age, birth date, deprivation index, 16 PCs
PPM018508 PGS003749
(ModelT1D_under25)
PSS011001|
European Ancestry|
119,273 individuals
PGP000472 |
Shoaib M et al. Genet Epidemiol (2023)
Reported Trait: Type 1 diabetes with age of diagnosis under 25 AUROC: 0.797 Nagelkerke R2: 0.099
PPM018512 PGS003749
(ModelT1D_under25)
PSS011000|
European Ancestry|
7,067 individuals
PGP000472 |
Shoaib M et al. Genet Epidemiol (2023)
Reported Trait: Discrimination of Type 1 diabetes from Type 2 diabetes AUROC: 0.792
PPM018514 PGS003749
(ModelT1D_under25)
PSS010998|
European Ancestry|
2,494 individuals
PGP000472 |
Shoaib M et al. Genet Epidemiol (2023)
Reported Trait: Discrimination of Type 1 diabetes from Type 2 diabetes AUROC: 0.686
PPM018509 PGS003750
(ModelT1D)
PSS010999|
European Ancestry|
120,028 individuals
PGP000472 |
Shoaib M et al. Genet Epidemiol (2023)
Reported Trait: Type 1 diabetes AUROC: 0.64 Nagelkerke R2: 0.014
PPM019950 PGS003993
(dbslmm.auto.GCST90013445.T1D)
PSS011224|
European Ancestry|
199,274 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 1.95715 [1.81292462, 2.11285989]
β: 0.67149 [0.59494135, 0.74804243]
AUROC: 0.6973 [0.67432957, 0.72027485] : 0.06925 [0.05366269, 0.08783238] 0 beta = log(or)/sd_pgs
PPM019951 PGS003993
(dbslmm.auto.GCST90013445.T1D)
PSS011235|
European Ancestry|
322,349 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 2.37817 [2.30792027, 2.45056467]
β: 0.86633 [0.8363468, 0.89631847]
AUROC: 0.73364 [0.7261439, 0.74113326] : 0.08844 [0.08240615, 0.09429924] 0 beta = log(or)/sd_pgs
PPM019952 PGS003993
(dbslmm.auto.GCST90013445.T1D)
PSS011248|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 1.02806 [0.93617919, 1.12896592]
β: 0.02768 [-0.0659484, 0.1213021]
AUROC: 0.49306 [0.46664532, 0.51946756] : 0.00011 [0.0, 0.00201222] 0 beta = log(or)/sd_pgs
PPM019953 PGS003993
(dbslmm.auto.GCST90013445.T1D)
PSS011264|
European Ancestry|
66,865 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 1.35954 [1.23424263, 1.49756477]
β: 0.30715 [0.21045753, 0.4038403]
AUROC: 0.58092 [0.55093059, 0.61090482] : 0.01115 [0.00472683, 0.02038956] 0 beta = log(or)/sd_pgs
PPM019954 PGS003993
(dbslmm.auto.GCST90013445.T1D)
PSS011277|
European Ancestry|
90,274 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 2.40714 [2.12613109, 2.72529613]
β: 0.87844 [0.75430394, 1.0025771]
AUROC: 0.7438 [0.70604081, 0.78155137] : 0.11521 [0.08261093, 0.15365125] 0 beta = log(or)/sd_pgs
PPM019995 PGS004009
(lassosum.auto.GCST90013445.T1D)
PSS011224|
European Ancestry|
199,274 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 1.95016 [1.8039695, 2.10819938]
β: 0.66791 [0.58998952, 0.74583421]
AUROC: 0.69542 [0.67251261, 0.71833611] : 0.06635 [0.05145834, 0.08404252] 0 beta = log(or)/sd_pgs
PPM019996 PGS004009
(lassosum.auto.GCST90013445.T1D)
PSS011235|
European Ancestry|
322,349 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 2.41964 [2.34758401, 2.49390831]
β: 0.88362 [0.85338672, 0.91385108]
AUROC: 0.73427 [0.72674347, 0.74178811] : 0.09058 [0.08466118, 0.09688729] 0 beta = log(or)/sd_pgs
PPM019997 PGS004009
(lassosum.auto.GCST90013445.T1D)
PSS011248|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 1.02716 [0.9355068, 1.12778739]
β: 0.0268 [-0.0666669, 0.12025765]
AUROC: 0.51065 [0.48423163, 0.53706706] : 0.0001 [0.0, 0.0020518] 0 beta = log(or)/sd_pgs
PPM019998 PGS004009
(lassosum.auto.GCST90013445.T1D)
PSS011264|
European Ancestry|
66,865 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 1.41112 [1.28181566, 1.55346498]
β: 0.34438 [0.24827756, 0.44048791]
AUROC: 0.58719 [0.55730466, 0.61706811] : 0.01421 [0.00653265, 0.0245434] 0 beta = log(or)/sd_pgs
PPM019999 PGS004009
(lassosum.auto.GCST90013445.T1D)
PSS011277|
European Ancestry|
90,274 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 2.32891 [2.05474726, 2.63965287]
β: 0.8454 [0.72015285, 0.97064742]
AUROC: 0.74138 [0.70575103, 0.77699909] : 0.10551 [0.07498107, 0.14145494] 0 beta = log(or)/sd_pgs
PPM019990 PGS004020
(lassosum.CV.GCST90013445.T1D)
PSS011224|
European Ancestry|
199,274 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 1.96291 [1.8158394, 2.12190093]
β: 0.67443 [0.59654784, 0.75231235]
AUROC: 0.69707 [0.6741702, 0.71996442] : 0.06768 [0.05283665, 0.08590187] 0 beta = log(or)/sd_pgs
PPM019991 PGS004020
(lassosum.CV.GCST90013445.T1D)
PSS011235|
European Ancestry|
322,349 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 2.44728 [2.37432767, 2.52248258]
β: 0.89498 [0.86471431, 0.92524357]
AUROC: 0.73762 [0.73014965, 0.74509755] : 0.0929 [0.08697873, 0.09927932] 0 beta = log(or)/sd_pgs
PPM019992 PGS004020
(lassosum.CV.GCST90013445.T1D)
PSS011248|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 1.02458 [0.93312347, 1.12499983]
β: 0.02428 [-0.0692177, 0.11778288]
AUROC: 0.51003 [0.4834716, 0.5365786] : 8e-05 [0.0, 0.00192444] 0 beta = log(or)/sd_pgs
PPM019993 PGS004020
(lassosum.CV.GCST90013445.T1D)
PSS011264|
European Ancestry|
66,865 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 1.42499 [1.29448907, 1.56865336]
β: 0.35417 [0.25811607, 0.45021752]
AUROC: 0.59001 [0.56010026, 0.61992271] : 0.01505 [0.00716292, 0.02582298] 0 beta = log(or)/sd_pgs
PPM019994 PGS004020
(lassosum.CV.GCST90013445.T1D)
PSS011277|
European Ancestry|
90,274 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 2.34601 [2.07012734, 2.65865075]
β: 0.85271 [0.72761012, 0.97781876]
AUROC: 0.7445 [0.70912362, 0.7798788] : 0.10752 [0.07728308, 0.14325004] 0 beta = log(or)/sd_pgs
PPM019965 PGS004035
(ldpred2.auto.GCST90013445.T1D)
PSS011224|
European Ancestry|
199,274 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 2.32281 [2.13168407, 2.53107946]
β: 0.84278 [0.75691231, 0.92864588]
AUROC: 0.71195 [0.68696399, 0.73694375] : 0.0847 [0.06629693, 0.10703174] 0 beta = log(or)/sd_pgs
PPM019966 PGS004035
(ldpred2.auto.GCST90013445.T1D)
PSS011235|
European Ancestry|
322,349 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 2.04799 [1.98592622, 2.11200077]
β: 0.71686 [0.68608541, 0.74763573]
AUROC: 0.69176 [0.68386243, 0.69965429] : 0.05646 [0.05209086, 0.06140139] 0 beta = log(or)/sd_pgs
PPM019967 PGS004035
(ldpred2.auto.GCST90013445.T1D)
PSS011248|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 1.00124 [0.9117887, 1.09947388]
β: 0.00124 [-0.092347, 0.09483178]
AUROC: 0.50968 [0.48325371, 0.53611056] : 2.13e-07 [0.0, 0.00104871] 0 beta = log(or)/sd_pgs
PPM019968 PGS004035
(ldpred2.auto.GCST90013445.T1D)
PSS011264|
European Ancestry|
66,865 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 1.41811 [1.28793383, 1.56143556]
β: 0.34932 [0.25303925, 0.44560563]
AUROC: 0.5837 [0.55391495, 0.61347751] : 0.01451 [0.00709685, 0.02594541] 0 beta = log(or)/sd_pgs
PPM019969 PGS004035
(ldpred2.auto.GCST90013445.T1D)
PSS011277|
European Ancestry|
90,274 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 2.67223 [2.33127749, 3.06303713]
β: 0.98291 [0.8464164, 1.11940695]
AUROC: 0.74858 [0.71080109, 0.78636453] : 0.11349 [0.08057329, 0.1513995] 0 beta = log(or)/sd_pgs
PPM019970 PGS004063
(megaprs.auto.GCST90013445.T1D)
PSS011224|
European Ancestry|
199,274 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 1.96796 [1.8152611, 2.13351315]
β: 0.677 [0.59622931, 0.75776999]
AUROC: 0.68845 [0.66493994, 0.71195684] : 0.06145 [0.0466906, 0.07846122] 0 beta = log(or)/sd_pgs
PPM019971 PGS004063
(megaprs.auto.GCST90013445.T1D)
PSS011235|
European Ancestry|
322,349 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 1.98877 [1.93780812, 2.04107353]
β: 0.68752 [0.6615575, 0.71347591]
AUROC: 0.71357 [0.70595937, 0.72117434] : 0.0733 [0.06778529, 0.07934817] 0 beta = log(or)/sd_pgs
PPM019972 PGS004063
(megaprs.auto.GCST90013445.T1D)
PSS011248|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 0.99583 [0.90679351, 1.09360849]
β: -0.00418 [-0.0978405, 0.08948277]
AUROC: 0.50552 [0.47751517, 0.53351676] : 2.41e-06 [0.0, 0.00132293] 0 beta = log(or)/sd_pgs
PPM019973 PGS004063
(megaprs.auto.GCST90013445.T1D)
PSS011264|
European Ancestry|
66,865 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 1.34209 [1.2160386, 1.48119754]
β: 0.29422 [0.19559853, 0.39285091]
AUROC: 0.57505 [0.54588165, 0.60422019] : 0.00983 [0.00444222, 0.01812082] 0 beta = log(or)/sd_pgs
PPM019974 PGS004063
(megaprs.auto.GCST90013445.T1D)
PSS011277|
European Ancestry|
90,274 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 2.32027 [2.05513583, 2.61961025]
β: 0.84168 [0.72034195, 0.96302555]
AUROC: 0.73583 [0.6992247, 0.77242674] : 0.10657 [0.0731231, 0.14722601] 0 beta = log(or)/sd_pgs
PPM019975 PGS004078
(megaprs.CV.GCST90013445.T1D)
PSS011224|
European Ancestry|
199,274 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 2.10311 [1.93487496, 2.28597324]
β: 0.74342 [0.6600427, 0.82679186]
AUROC: 0.69475 [0.67006258, 0.71942771] : 0.06975 [0.05276804, 0.08919338] 0 beta = log(or)/sd_pgs
PPM019976 PGS004078
(megaprs.CV.GCST90013445.T1D)
PSS011235|
European Ancestry|
322,349 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 2.14067 [2.07613635, 2.20720948]
β: 0.76112 [0.73050864, 0.79172904]
AUROC: 0.70513 [0.69736383, 0.71288732] : 0.06481 [0.059934, 0.06970825] 0 beta = log(or)/sd_pgs
PPM019977 PGS004078
(megaprs.CV.GCST90013445.T1D)
PSS011248|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 1.00042 [0.91103711, 1.09857896]
β: 0.00042 [-0.0931716, 0.09401749]
AUROC: 0.50146 [0.4742843, 0.52864086] : 2.47e-08 [0.0, 0.00110175] 0 beta = log(or)/sd_pgs
PPM019979 PGS004078
(megaprs.CV.GCST90013445.T1D)
PSS011277|
European Ancestry|
90,274 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 2.67623 [2.34580171, 3.0531938]
β: 0.98441 [0.85262722, 1.11618819]
AUROC: 0.75808 [0.72109039, 0.79506729] : 0.12382 [0.0893776, 0.1626812] 0 beta = log(or)/sd_pgs
PPM019978 PGS004078
(megaprs.CV.GCST90013445.T1D)
PSS011264|
European Ancestry|
66,865 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 1.39887 [1.26758241, 1.54375709]
β: 0.33567 [0.23711147, 0.43421912]
AUROC: 0.58756 [0.55830682, 0.61680998] : 0.01282 [0.00631335, 0.02187257] 0 beta = log(or)/sd_pgs
PPM019985 PGS004093
(prscs.auto.GCST90013445.T1D)
PSS011224|
European Ancestry|
199,274 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 1.96153 [1.81511617, 2.11974641]
β: 0.67372 [0.59614947, 0.75129646]
AUROC: 0.69109 [0.66721361, 0.71496653] : 0.06749 [0.05179939, 0.08606836] 0 beta = log(or)/sd_pgs
PPM019986 PGS004093
(prscs.auto.GCST90013445.T1D)
PSS011235|
European Ancestry|
322,349 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 2.44508 [2.37411415, 2.51816059]
β: 0.89408 [0.86462438, 0.92352871]
AUROC: 0.74221 [0.7347773, 0.74964128] : 0.09841 [0.09204504, 0.10511922] 0 beta = log(or)/sd_pgs
PPM019987 PGS004093
(prscs.auto.GCST90013445.T1D)
PSS011248|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 1.0158 [0.92505185, 1.11545962]
β: 0.01568 [-0.0779055, 0.10926654]
AUROC: 0.49721 [0.47051134, 0.52391261] : 3e-05 [0.0, 0.00165456] 0 beta = log(or)/sd_pgs
PPM019988 PGS004093
(prscs.auto.GCST90013445.T1D)
PSS011264|
European Ancestry|
66,865 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 1.42395 [1.29147627, 1.57000849]
β: 0.35343 [0.25578596, 0.45108103]
AUROC: 0.58948 [0.55985079, 0.61910169] : 0.01448 [0.00713355, 0.02556907] 0 beta = log(or)/sd_pgs
PPM019989 PGS004093
(prscs.auto.GCST90013445.T1D)
PSS011277|
European Ancestry|
90,274 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 2.39116 [2.11480155, 2.70363906]
β: 0.87178 [0.74896098, 0.99459867]
AUROC: 0.74365 [0.70655591, 0.78075248] : 0.11538 [0.08154941, 0.15461483] 0 beta = log(or)/sd_pgs
PPM019980 PGS004102
(prscs.CV.GCST90013445.T1D)
PSS011224|
European Ancestry|
199,274 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 1.98839 [1.83886186, 2.15008348]
β: 0.68733 [0.60914683, 0.76550667]
AUROC: 0.69368 [0.66982956, 0.71752171] : 0.06902 [0.05359352, 0.08756059] 0 beta = log(or)/sd_pgs
PPM019981 PGS004102
(prscs.CV.GCST90013445.T1D)
PSS011235|
European Ancestry|
322,349 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 2.45742 [2.38456802, 2.53249357]
β: 0.89911 [0.86901799, 0.92920442]
AUROC: 0.74072 [0.73326604, 0.7481693] : 0.09498 [0.08910449, 0.1012516] 0 beta = log(or)/sd_pgs
PPM019982 PGS004102
(prscs.CV.GCST90013445.T1D)
PSS011248|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 0.99231 [0.90364856, 1.08967257]
β: -0.00772 [-0.1013148, 0.08587725]
AUROC: 0.50262 [0.47587981, 0.52935952] : 8.22e-06 [0.0, 0.00119328] 0 beta = log(or)/sd_pgs
PPM019983 PGS004102
(prscs.CV.GCST90013445.T1D)
PSS011264|
European Ancestry|
66,865 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 1.42533 [1.29225034, 1.57211911]
β: 0.3544 [0.25638515, 0.45242446]
AUROC: 0.59074 [0.56115377, 0.62033237] : 0.01445 [0.00709941, 0.02487634] 0 beta = log(or)/sd_pgs
PPM019984 PGS004102
(prscs.CV.GCST90013445.T1D)
PSS011277|
European Ancestry|
90,274 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 2.43145 [2.14880751, 2.75126545]
β: 0.88849 [0.76491304, 1.01206097]
AUROC: 0.74705 [0.70995893, 0.78413594] : 0.1179 [0.08420483, 0.15729309] 0 beta = log(or)/sd_pgs
PPM019940 PGS004117
(pt_clump.auto.GCST90013445.T1D)
PSS011224|
European Ancestry|
199,274 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 1.50723 [1.38329925, 1.64225382]
β: 0.41027 [0.32447141, 0.49606958]
AUROC: 0.61038 [0.58493393, 0.63583432] : 0.01989 [0.01172729, 0.03067629] 0 beta = log(or)/sd_pgs
PPM019941 PGS004117
(pt_clump.auto.GCST90013445.T1D)
PSS011235|
European Ancestry|
322,349 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 1.76472 [1.7129685, 1.81804229]
β: 0.56799 [0.53822783, 0.59776026]
AUROC: 0.65681 [0.64857862, 0.665043] : 0.03778 [0.03378648, 0.04199483] 0 beta = log(or)/sd_pgs
PPM019942 PGS004117
(pt_clump.auto.GCST90013445.T1D)
PSS011248|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 1.06976 [0.97430512, 1.17457159]
β: 0.06744 [-0.0260308, 0.16090348]
AUROC: 0.51565 [0.4870758, 0.54421766] : 0.00063 [0.0, 0.00417152] 0 beta = log(or)/sd_pgs
PPM019943 PGS004117
(pt_clump.auto.GCST90013445.T1D)
PSS011264|
European Ancestry|
66,865 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 1.21972 [1.10575245, 1.34542335]
β: 0.19862 [0.10052606, 0.29670872]
AUROC: 0.55539 [0.52652748, 0.58425862] : 0.00453 [0.00106382, 0.01025734] 0 beta = log(or)/sd_pgs
PPM019944 PGS004117
(pt_clump.auto.GCST90013445.T1D)
PSS011277|
European Ancestry|
90,274 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 1.8907 [1.65320815, 2.16231652]
β: 0.63695 [0.50271774, 0.77118011]
AUROC: 0.67867 [0.64177739, 0.71555632] : 0.04884 [0.02894078, 0.07332714] 0 beta = log(or)/sd_pgs
PPM019945 PGS004132
(pt_clump_nested.CV.GCST90013445.T1D)
PSS011224|
European Ancestry|
199,274 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 1.53997 [1.41224358, 1.67924688]
β: 0.43176 [0.34517963, 0.5183454]
AUROC: 0.61637 [0.59140768, 0.64133337] : 0.02164 [0.01297279, 0.03167858] 0 beta = log(or)/sd_pgs
PPM019946 PGS004132
(pt_clump_nested.CV.GCST90013445.T1D)
PSS011235|
European Ancestry|
322,349 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 1.83108 [1.77691147, 1.88689599]
β: 0.6049 [0.57487673, 0.63493314]
AUROC: 0.66566 [0.65750331, 0.67382366] : 0.04216 [0.03803437, 0.04646488] 0 beta = log(or)/sd_pgs
PPM019947 PGS004132
(pt_clump_nested.CV.GCST90013445.T1D)
PSS011248|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 1.10378 [1.00525324, 1.21196356]
β: 0.09874 [0.00523949, 0.19224182]
AUROC: 0.52426 [0.49592976, 0.5525963] : 0.00135 [0.0, 0.00571968] 0 beta = log(or)/sd_pgs
PPM019948 PGS004132
(pt_clump_nested.CV.GCST90013445.T1D)
PSS011264|
European Ancestry|
66,865 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 1.23285 [1.11742884, 1.36018681]
β: 0.20933 [0.11103037, 0.30762205]
AUROC: 0.5572 [0.52793354, 0.58646596] : 0.00501 [0.00118351, 0.01159794] 0 beta = log(or)/sd_pgs
PPM019949 PGS004132
(pt_clump_nested.CV.GCST90013445.T1D)
PSS011277|
European Ancestry|
90,274 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 1.87052 [1.63223449, 2.14359629]
β: 0.62622 [0.48994993, 0.76248493]
AUROC: 0.67437 [0.63811128, 0.71062785] : 0.04581 [0.02667374, 0.06787352] 0 beta = log(or)/sd_pgs
PPM019956 PGS004147
(sbayesr.auto.GCST90013445.T1D)
PSS011235|
European Ancestry|
322,349 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 2.08691 [2.02370949, 2.15207932]
β: 0.73568 [0.70493221, 0.7664345]
AUROC: 0.69901 [0.69126203, 0.70676702] : 0.05973 [0.05525799, 0.06439209] 0 beta = log(or)/sd_pgs
PPM019957 PGS004147
(sbayesr.auto.GCST90013445.T1D)
PSS011248|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 0.97765 [0.89040095, 1.07344813]
β: -0.0226 [-0.1160834, 0.07087602]
AUROC: 0.50592 [0.47842074, 0.53342715] : 7e-05 [0.0, 0.00178835] 0 beta = log(or)/sd_pgs
PPM019958 PGS004147
(sbayesr.auto.GCST90013445.T1D)
PSS011264|
European Ancestry|
66,865 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 1.32037 [1.19592399, 1.45777215]
β: 0.27791 [0.1789191, 0.37690935]
AUROC: 0.5779 [0.54954499, 0.60625601] : 0.0087 [0.00397942, 0.01569235] 0 beta = log(or)/sd_pgs
PPM019959 PGS004147
(sbayesr.auto.GCST90013445.T1D)
PSS011277|
European Ancestry|
90,274 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 1.73561 [1.51150462, 1.99293821]
β: 0.55136 [0.41310559, 0.68961004]
AUROC: 0.6586 [0.61898315, 0.69821584] : 0.03445 [0.01835972, 0.05461851] 0 beta = log(or)/sd_pgs
PPM019955 PGS004147
(sbayesr.auto.GCST90013445.T1D)
PSS011224|
European Ancestry|
199,274 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 1.62883 [1.4923288, 1.77782255]
β: 0.48786 [0.40033785, 0.57538933]
AUROC: 0.63151 [0.60628925, 0.65673082] : 0.02701 [0.01801814, 0.03863217] 0 beta = log(or)/sd_pgs
PPM019960 PGS004162
(UKBB_EnsPGS.GCST90013445.T1D)
PSS011224|
European Ancestry|
199,274 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 2.35332 [2.16304039, 2.56032867]
β: 0.85583 [0.77151482, 0.94013564]
AUROC: 0.71754 [0.69281899, 0.74226865] : 0.09161 [0.07185892, 0.11449842] 0 beta = log(or)/sd_pgs
PPM019961 PGS004162
(UKBB_EnsPGS.GCST90013445.T1D)
PSS011235|
European Ancestry|
322,349 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 2.27887 [2.20957694, 2.35033807]
β: 0.82368 [0.79280107, 0.85455918]
AUROC: 0.71873 [0.71109285, 0.72636337] : 0.07462 [0.06945443, 0.08005629] 0 beta = log(or)/sd_pgs
PPM019962 PGS004162
(UKBB_EnsPGS.GCST90013445.T1D)
PSS011248|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 1.0051 [0.915294, 1.10371927]
β: 0.00509 [-0.08851, 0.09868564]
AUROC: 0.50466 [0.47785708, 0.53145331] : 3.57e-06 [0.0, 0.00127941] 0 beta = log(or)/sd_pgs
PPM019963 PGS004162
(UKBB_EnsPGS.GCST90013445.T1D)
PSS011264|
European Ancestry|
66,865 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 1.43168 [1.29788795, 1.57925912]
β: 0.35885 [0.26073829, 0.45695583]
AUROC: 0.58479 [0.5557021, 0.61387243] : 0.01478 [0.00756708, 0.02570015] 0 beta = log(or)/sd_pgs
PPM019964 PGS004162
(UKBB_EnsPGS.GCST90013445.T1D)
PSS011277|
European Ancestry|
90,274 individuals
PGP000517 |
Monti R et al. Am J Hum Genet (2024)
Reported Trait: T1D OR: 2.88687 [2.52605474, 3.29923292]
β: 1.06017 [0.92665869, 1.19368999]
AUROC: 0.77124 [0.73430954, 0.80816383] : 0.14125 [0.10181365, 0.18523438] 0 beta = log(or)/sd_pgs
PPM020104 PGS004171
(t1d_1)
PSS011296|
European Ancestry|
45,334 individuals
PGP000520 |
Raben TG et al. Sci Rep (2023)
Reported Trait: Type 1 diabetes AUROC: 0.7 year of birth, sex
PPM020105 PGS004172
(t1d_2)
PSS011296|
European Ancestry|
45,334 individuals
PGP000520 |
Raben TG et al. Sci Rep (2023)
Reported Trait: Type 1 diabetes AUROC: 0.71 year of birth, sex
PPM020106 PGS004173
(t1d_3)
PSS011296|
European Ancestry|
45,334 individuals
PGP000520 |
Raben TG et al. Sci Rep (2023)
Reported Trait: Type 1 diabetes AUROC: 0.71 year of birth, sex
PPM020107 PGS004174
(t1d_4)
PSS011296|
European Ancestry|
45,334 individuals
PGP000520 |
Raben TG et al. Sci Rep (2023)
Reported Trait: Type 1 diabetes AUROC: 0.71 year of birth, sex
PPM020108 PGS004175
(t1d_5)
PSS011296|
European Ancestry|
45,334 individuals
PGP000520 |
Raben TG et al. Sci Rep (2023)
Reported Trait: Type 1 diabetes AUROC: 0.7 year of birth, sex
PPM021179 PGS004874
(INTERVENE_MegaPRS_T1D)
PSS011637|
European Ancestry|
412,090 individuals
PGP000618 |
Jermy B et al. Nat Commun (2024)
Reported Trait: Incident T1D HR: 2.37 [2.31, 2.44] C-index: 0.77 [0.77, 0.78] PCs 1-10
PPM021173 PGS004874
(INTERVENE_MegaPRS_T1D)
PSS011643|
European Ancestry|
447,332 individuals
PGP000618 |
Jermy B et al. Nat Commun (2024)
Reported Trait: Incident T1D HR: 2.11 [1.98, 2.24] PCs 1-10
PPM021174 PGS004874
(INTERVENE_MegaPRS_T1D)
PSS011642|
European Ancestry|
32,779 individuals
PGP000618 |
Jermy B et al. Nat Commun (2024)
Reported Trait: Incident T1D HR: 1.41 [1.17, 1.69] C-index: 0.69 [0.64, 0.74] PCs 1-10
PPM021175 PGS004874
(INTERVENE_MegaPRS_T1D)
PSS011641|
European Ancestry|
69,715 individuals
PGP000618 |
Jermy B et al. Nat Commun (2024)
Reported Trait: Incident T1D HR: 1.43 [1.28, 1.59] C-index: 0.64 [0.61, 0.67] PCs 1-10
PPM021176 PGS004874
(INTERVENE_MegaPRS_T1D)
PSS011640|
European Ancestry|
29,427 individuals
PGP000618 |
Jermy B et al. Nat Commun (2024)
Reported Trait: Incident T1D HR: 2.09 [1.91, 2.29] C-index: 0.75 [0.72, 0.78] PCs 1-10
PPM021177 PGS004874
(INTERVENE_MegaPRS_T1D)
PSS011638|
European Ancestry|
44,187 individuals
PGP000618 |
Jermy B et al. Nat Commun (2024)
Reported Trait: Incident T1D HR: 1.05 [0.95, 1.15] PCs 1-10
PPM021178 PGS004874
(INTERVENE_MegaPRS_T1D)
PSS011639|
European Ancestry|
7,018 individuals
PGP000618 |
Jermy B et al. Nat Commun (2024)
Reported Trait: Incident T1D HR: 1.56 [1.14, 2.12] C-index: 0.73 [0.67, 0.78] PCs 1-10
PPM021180 PGS004874
(INTERVENE_MegaPRS_T1D)
PSS011636|
European Ancestry|
199,868 individuals
PGP000618 |
Jermy B et al. Nat Commun (2024)
Reported Trait: Incident T1D HR: 1.64 [1.5, 1.79] C-index: 0.68 [0.65, 0.7] PCs 1-10
PPM021718 PGS004930
(celiac_disease_snpnet_combined)
PSS011762|
European Ancestry|
8,417 individuals
PGP000665 |
Moreno-Grau S et al. Human Genomics (2024)
Reported Trait: Celiac disease OR: 1.52 [1.35, 1.71] AUROC: 0.67
PPM023441 PGS005398
(T1D_PRS_combined)
PSS012186|
European Ancestry|
2,771 individuals
PGP000781 |
Qu HQ et al. Diabetes Res Clin Pract (2026)
Reported Trait: Type 1 diabetes diagnosis OR: 1.586 [1.42, 1.771] AUROC: 0.629 [0.6, 0.658]
PPM023442 PGS005399
(T1D_PRS_male)
PSS012188|
European Ancestry|
1,435 individuals
PGP000781 |
Qu HQ et al. Diabetes Res Clin Pract (2026)
Reported Trait: Type 1 diabetes diagnosis OR: 1.896 [1.627, 2.21] AUROC: 0.668 [0.629, 0.707] delta AUC (sex‑specific-all‑samples): 0.0444 [0.0341, 0.0546] DeLong's test (2‑correlated ROC curves): Z = -8.4547, p < 2.2 × 10⁻¹⁶ ; Bootstrap test (2,000 stratified replicates): D = -8.3838, p < 2.2 × 10⁻¹⁶
PPM023443 PGS005400
(T1D_PRS_female)
PSS012187|
European Ancestry|
1,336 individuals
PGP000781 |
Qu HQ et al. Diabetes Res Clin Pract (2026)
Reported Trait: Type 1 diabetes diagnosis OR: 2.316 [1.962, 2.732] AUROC: 0.719 [0.682, 0.756] delta AUC (sex‑specific-all‑samples): 0.084 [0.0646, 0.1035] DeLong's test (2‑correlated ROC curves): Z = -8.4667, p < 2.2 × 10⁻¹⁶; Bootstrap test (2,000 stratified replicates): D = -8.3857, p < 2.2 × 10⁻¹⁶
PPM030675 PGS012555
(TA-PS)
PSS012239|
African Ancestry|
1,687 individuals
PGP000798 |
Jumentier B et al. Diabetologia (2026)
Reported Trait: type 1 diabetes AUROC: 0.729 [0.699, 0.759] sensitivity (%, cutoff of 10) = 0.310, specificity (%, cutoff of 10) = 0.941, F1 score = 0.409
PPM030676 PGS012555
(TA-PS)
PSS012240|
European Ancestry|
2,828 individuals
PGP000798 |
Jumentier B et al. Diabetologia (2026)
Reported Trait: type 1 diabetes AUROC: 0.777 [0.754, 0.8] sensitivity (%, cutoff of 10) = 0.409, specificity (%, cutoff of 10) = 0.900, F1 score = 0.428
PPM030677 PGS012555
(TA-PS)
PSS012242|
South Asian Ancestry|
315 individuals
PGP000798 |
Jumentier B et al. Diabetologia (2026)
Reported Trait: type 1 diabetes AUROC: 0.736 [0.644, 0.829] sensitivity (%, cutoff of 10) = 0.333, specificity (%, cutoff of 10) = 0.883, F1 score = 0.270
PPM030678 PGS012555
(TA-PS)
PSS012241|
Additional Diverse Ancestries|
1,285 individuals
PGP000798 |
Jumentier B et al. Diabetologia (2026)
Reported Trait: type 1 diabetes AUROC: 0.72 [0.678, 0.762] sensitivity (%, cutoff of 10) = 0.366, specificity (%, cutoff of 10) = 0.913, F1 score = 0.399
PPM030679 PGS012555
(TA-PS)
PSS012243|
East Asian Ancestry|
596 individuals
PGP000798 |
Jumentier B et al. Diabetologia (2026)
Reported Trait: type 1 diabetes AUROC: 0.81 [0.775, 0.844] sensitivity (%, cutoff of 10) = 0.527, specificity (%, cutoff of 10) = 0.897, F1 score = 0.646
PPM030681 PGS012555
(TA-PS)
PSS012237|
Hispanic or Latin American Ancestry|
18,753 individuals
PGP000798 |
Jumentier B et al. Diabetologia (2026)
Reported Trait: type 1 diabetes AUROC: 0.688 [0.654, 0.688] sensitivity (%, cutoff of 10) = 0.329, specificity (%, cutoff of 10) = 0.903, F1 score = 0.069
PPM030682 PGS012555
(TA-PS)
PSS012235|
African Ancestry|
14,974 individuals
PGP000798 |
Jumentier B et al. Diabetologia (2026)
Reported Trait: type 1 diabetes AUROC: 0.652 [0.61, 0.652] sensitivity (%, cutoff of 10) = 0.335, specificity (%, cutoff of 10) = 0.903, F1 score = 0.080
PPM030683 PGS012555
(TA-PS)
PSS012238|
Multi-ancestry (including European)|
86,010 individuals
PGP000798 |
Jumentier B et al. Diabetologia (2026)
Reported Trait: type 1 diabetes AUROC: 0.752 [0.735, 0.769] sensitivity (%, cutoff of 10) = 0.460, specificity (%, cutoff of 10) = 0.904, F1 score = 0.096
PPM030684 PGS012555
(TA-PS)
PSS012244|
European Ancestry|
406,390 individuals
PGP000798 |
Jumentier B et al. Diabetologia (2026)
Reported Trait: type 1 diabetes AUROC: 0.857 [0.842, 0.873] sensitivity (%, cutoff of 10) = 0.669, specificity (%, cutoff of 10) = 0.900, F1 score = 0.024
PPM030680 PGS012555
(TA-PS)
PSS012236|
European Ancestry|
52,283 individuals
PGP000798 |
Jumentier B et al. Diabetologia (2026)
Reported Trait: type 1 diabetes AUROC: 0.821 [0.8, 0.821] sensitivity (%, cutoff of 10) = 0.597, specificity (%, cutoff of 10) = 0.905, F1 score = 0.116

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
PSS009164 1,354 individuals European Poland (NE Europe) UKB
PSS008659 5,445 individuals European Italy (South Europe) UKB
PSS003667
[
  • 18 cases
  • , 951 controls
]
African unspecified UKB
PSS003668
[
  • 213 cases
  • , 8,811 controls
]
European non-white British ancestry UKB
PSS003669
[
  • 16 cases
  • , 1,129 controls
]
South Asian UKB
PSS003670
[
  • 468 cases
  • , 23,842 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS008169 5,228 individuals South Asian India (South Asia) UKB
PSS008718 2,442 individuals European Italy (South Europe) UKB
PSS012104 73,872 individuals European MVP
PSS012104 25,274 individuals African unspecified MVP
PSS012104 9,537 individuals Hispanic or Latin American MVP
PSS012104 911 individuals Asian unspecified MVP
PSS008213 5,277 individuals South Asian India (South Asia) UKB
PSS011224
[
  • 501 cases
  • , 198,773 controls
]
European EB
PSS009893 366 individuals African American or Afro-Caribbean SEARCH
PSS009894 412 individuals Hispanic or Latin American SEARCH
PSS009895 1,168 individuals European SEARCH
PSS009896 99 individuals Not reported SEARCH
PSS011235 T1D, ICD10: E10, ICD9: 250[0|1]1 (exclude E11)
[
  • 4,286 cases
  • , 318,063 controls
]
European FinnGen
PSS000026 Cases were defined on the presence or absence of severe insulin deficiency (requiring insulin treatment at 3 years after diagnosis). We cate- gorized people as severely insulin defi- cient if they received continuous insulin treatment at ,3 years from the time of diagnosis and had a low measured C-peptide level (nonfasting measured ,0.6 nmol/L or equivalent fasting blood glucose level or posthome meal urine C-peptide–to–creatinine ratio)
[
  • 46 cases
  • , 177 controls
]
,
46.3 % Male samples
European P2ID A cross-sectional cohort of people in whom diabetes was diagnosed between the ages of 20 and 40 years (n = 223), who had had diabetes for .3 years, and who had self-reported as white European from Devon and Cornwall in South West England. Known monogenic diabetes and secondary diabetes pa- tients were excluded.
PSS000027 Type 1 diabetes status was assigned according to clinician diagnosis.
[
  • 84 cases
  • , 63 controls
]
,
33.78 % Male samples
African American or Afro-Caribbean UFDI Total sample number contains the number of controls, cases, and includes the number of first/second-degree relatives and samples identified as "at risk" (autoantibody positive) used in other analyses.
PSS000028 Type 1 diabetes status was assigned according to clinician diagnosis.
[
  • 65 cases
  • , 43 controls
]
,
44.84 % Male samples
Hispanic or Latin American Samples labeled Caucasian (Hispanic ethnicity) in the original publication. UFDI Total sample number contains the number of controls, cases, and includes the number of first/second-degree relatives and samples identified as "at risk" (autoantibody positive) used in other analyses.
PSS000029 Type 1 diabetes status was assigned according to clinician diagnosis.
[
  • 478 cases
  • , 290 controls
]
,
47.34 % Male samples
European Samples labeled Caucasian (non-Hispanic) in the original publication. UFDI Total sample number contains the number of controls, cases, and includes the number of first/second-degree relatives and samples identified as "at risk" (autoantibody positive) used in other analyses.
PSS011643
[
  • 992 cases
  • , 446,340 controls
]
European UKB
PSS011248
[
  • 443 cases
  • , 43,614 controls
]
South Asian G&H
PSS000030
[
  • 1,021 cases
  • , 2,928 controls
]
African unspecified 7 cohorts
  • BDC
  • ,CLEAR
  • ,GoKinD
  • ,NYCP
  • ,SEARCH
  • ,T1DGC
  • ,UAB
PSS000031 Cases are diagnosed with type 1 diabetes.
[
  • 61 cases
  • , 54 controls
]
African unspecified UOF
PSS000032 Type 1 Diabetes Case Definition = Clinical diagnosis of diabetes at less than or equal to 20 years of age; On insulin within 1 year from the time of diagnosis; Still on insulin at the time of recruit- ment; Not using oral antihyperglycemic agents; Did not ever self-report as having type 2 diabetes (T2D)
[
  • 387 cases
  • , 373,613 controls
]
European UKB
PSS007737 2,200 individuals African American or Afro-Caribbean Carribean UKB
PSS011264
[
  • 396 cases
  • , 66,469 controls
]
European HUNT
PSS009287 18,975 individuals European UK (+ Ireland) UKB
PSS011277
[
  • 201 cases
  • , 90,073 controls
]
European UKB
PSS008270 908 individuals South Asian India (South Asia) UKB
PSS012186 Type 1 diabetes, diagnosed by physician; cases confirmed through clinical criteria at CHOP. ICD-10 code E10 used where available.
[
  • 471 cases
  • , 2,300 controls
]
,
51.7 % Male samples
European CHOP Independent validation cohort recruited through the Children's Hospital of Philadelphia (CHOP). No overlap with discovery GWAS samples.
PSS012187 Type 1 diabetes, diagnosed by physician; cases confirmed through clinical criteria at CHOP. ICD-10 code E10 used where available.
[
  • 229 cases
  • , 1,107 controls
]
,
0.0 % Male samples
European CHOP Independent validation cohort recruited through the Children's Hospital of Philadelphia (CHOP). No overlap with discovery GWAS samples.
PSS011295 1,798 individuals Not reported NR StartRight
PSS007778 2,091 individuals African American or Afro-Caribbean Carribean UKB
PSS011296 22,667 sibling pairs 45,334 individuals European UKB
PSS012235
[
  • 201 cases
  • , 14,773 controls
]
African American or Afro-Caribbean AllofUs
PSS012236
[
  • 584 cases
  • , 51,699 controls
]
European AllofUs
PSS012237
[
  • 261 cases
  • , 18,492 controls
]
Hispanic or Latin American AllofUs
PSS012238
[
  • 201 cases
  • , 14,773 controls
]
African American or Afro-Caribbean AllofUs
PSS009331 16,106 individuals European UK (+ Ireland) UKB
PSS012238
[
  • 261 cases
  • , 18,492 controls
]
Hispanic or Latin American AllofUs
PSS012239
[
  • 371 cases
  • , 1,316 controls
]
African American or Afro-Caribbean CHOP
PSS012240
[
  • 474 cases
  • , 2,354 controls
]
European CHOP
PSS012241
[
  • 202 cases
  • , 1,083 controls
]
Other admixed ancestry CHOP
PSS012242
[
  • 30 cases
  • , 285 controls
]
South Asian CHOP
PSS012243
[
  • 293 cases
  • , 303 controls
]
East Asian GRACE
PSS012238
[
  • 584 cases
  • , 51,699 controls
]
European AllofUs
PSS012244
[
  • 733 cases
  • , 405,657 controls
]
European UKB
PSS008840 3,490 individuals African unspecified Nigeria (West Africa) UKB
PSS000059
[
  • 647 cases
  • , 1,829 controls
]
European
(Finnish)
FINRISK, Health2000
PSS000060
[
  • 5,907 cases
  • , 4,397 controls
]
European
(British)
NR Immunochip
PSS011762 8,417 individuals European BBofA
PSS000061
[
  • 497 cases
  • , 543 controls
]
European
(Italian)
NR
PSS000062
[
  • 803 cases
  • , 846 controls
]
European
(Dutch)
NR
PSS000063
[
  • 778 cases
  • , 1,422 controls
]
European
(British)
NR
PSS007834 400 individuals African American or Afro-Caribbean Carribean UKB
PSS000064
[
  • 1,259 cases
  • , 437 controls
]
European NIDDK
PSS000065 The HLA-DQ2.5-positive subset of NIDDK-CIDR
[
  • 1,094 cases
  • , 143 controls
]
European NIDDK HLA alleles were imputed using SNP2HLA
PSS012260 158 individuals European FDS
PSS009390 7,142 individuals European UK (+ Ireland) UKB
PSS008882 3,455 individuals African unspecified Nigeria (West Africa) UKB
PSS008391 1,107 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS004423
[
  • 7 cases
  • , 6,490 controls
]
African unspecified UKB
PSS004424
[
  • 178 cases
  • , 24,727 controls
]
European non-white British ancestry UKB
PSS000083 Cases were clinically diagnosed with T1D before 17 years of age and treated with insulin from diagnosis. Patients with known MODY or NDM were excluded.
[
  • 1,963 cases
  • , 0 controls
]
European WTCCC Cases with Type 1 Diabetes
PSS000083 MODY patients with a confirmed monogenic etiology on genetic testing (415 patients with HNF1A MODY, 346 with GCK MODY, 42 with HNF4A MODY, and 2 with HNF1B MODY). The median age of diagnosis was 20 years (interquartile range 15, 30), and 532 patients were female.
[
  • 805 cases
  • , 0 controls
]
,
33.91 % Male samples
European NR Maturity-onset diabetes of young (MODY) cases ascertained from the Genetic Βeta Cell Research Bank, Exeter, U.K.
PSS004425
[
  • 24 cases
  • , 7,807 controls
]
South Asian UKB
PSS004426
[
  • 451 cases
  • , 66,974 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS011531 Cases were individuals with T1D
[
  • 3,299 cases
  • , 6,166 controls
]
,
53.51 % Male samples
European NR
PSS011532 Cases were individuals with T1D
[
  • 3,293 cases
  • , 6,157 controls
]
,
53.79 % Male samples
European NR
PSS008938 526 individuals African unspecified Nigeria (West Africa) UKB
PSS004457
[
  • 9 cases
  • , 6,488 controls
]
African unspecified UKB
PSS004458
[
  • 33 cases
  • , 24,872 controls
]
European non-white British ancestry UKB
PSS004459
[
  • 7 cases
  • , 7,824 controls
]
South Asian UKB
PSS004460
[
  • 58 cases
  • , 67,367 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS008433 998 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS001084 Moderate Age-Related Diabetes (MARD) vs. controls
[
  • 2,853 cases
  • , 2,744 controls
]
European Swedish ANDIS
PSS001085 Moderate Obesity-related Diabetes (MOD) vs. controls
[
  • 1,372 cases
  • , 2,744 controls
]
European Swedish ANDIS
PSS001086 Severe Autoimmune Diabetes (SAID) vs. controls
[
  • 450 cases
  • , 2,744 controls
]
European Swedish ANDIS
PSS001087 Severe Insulin-Deficient Diabetes (SIDD) vs. controls
[
  • 1,186 cases
  • , 2,744 controls
]
European Swedish ANDIS
PSS007956 1,729 individuals East Asian China (East Asia) UKB
PSS008492 208 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS000368 TEDDY children were followed prospectively from 3–4 months of age, with visits every 3 months until 4 years of age. Each evaluation tested the three islet antibodies (GADA, IA2A and IAA), changes in family history, as well as other measurements specified by the TEDDY protocol. After 4 years of age, children with any islet autoantibodies remained on quarterly visits, while antibody-negative children were evaluated every 6 months. Children were followed prospectively until 15 years of age or until T1D onset, as defined using the American Diabetes Association’s criteria for diagnosis (doi: 10.1196/annals.1447.062) Median = 9.3 years
Range = [0.0833, 14.0] years
[
  • 305 cases
  • , 7,493 controls
]
,
50.86 % Male samples
Range = [3.0, 4.0] years NR TEDDY From 2004–2010, 424,788 newborns were screened at six US and European centers for high-risk HLA genotypes. TEDDY then enrolled 8,676 eligible infants with the intent to follow them until 15 years of age. The three major eligible HLA DR–DQ haplotypes are DR3–DQA1*0501–DQB1*0201, DR4–DQA1*0301–DQB1*0302 and DR8–DQA1*0401–DQB1*0402.
PSS011636
[
  • 497 cases
  • , 199,371 controls
]
European EB
PSS011637
[
  • 4,310 cases
  • , 407,780 controls
]
European FinnGen
PSS011638
[
  • 434 cases
  • , 43,753 controls
]
European G&H
PSS011639
[
  • 78 cases
  • , 6,940 controls
]
European GS:SFHS
PSS011640
[
  • 397 cases
  • , 29,030 controls
]
European GEL
PSS011641
[
  • 342 cases
  • , 69,373 controls
]
European HUNT
PSS011642
[
  • 103 cases
  • , 32,676 controls
]
European MGBB
PSS004570
[
  • 119 cases
  • , 6,378 controls
]
African unspecified UKB
PSS004571
[
  • 5 cases
  • , 1,699 controls
]
East Asian UKB
PSS004572
[
  • 186 cases
  • , 24,719 controls
]
European non-white British ancestry UKB
PSS004573
[
  • 153 cases
  • , 7,678 controls
]
South Asian UKB
PSS004574
[
  • 568 cases
  • , 66,857 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS009061 3,954 individuals European Poland (NE Europe) UKB
PSS010998
[
  • 1,070 cases
  • , 1,424 controls
]
European MGI
PSS011000
[
  • 953 cases
  • , 6,114 controls
]
European UKB
PSS011001
[
  • 198 cases
  • , 119,075 controls
]
European UKB
PSS010999
[
  • 953 cases
  • , 119,075 controls
]
European UKB
PSS012188 Type 1 diabetes, diagnosed by physician; cases confirmed through clinical criteria at CHOP. ICD-10 code E10 used where available.
[
  • 242 cases
  • , 1,193 controls
]
,
100.0 % Male samples
European CHOP Independent validation cohort recruited through the Children's Hospital of Philadelphia (CHOP). No overlap with discovery GWAS samples.
PSS011009 At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes 16,663 individuals,
48.0 % Male samples
Mean = 51.9 years
Sd = 14.8 years
European Self-identified race = White BioMe
PSS011009 At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes 11,443 individuals,
39.0 % Male samples
Mean = 48.4 years
Sd = 14.1 years
African American or Afro-Caribbean Self-identified race = Black BioMe
PSS011009 At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes 19,524 individuals,
37.0 % Male samples
Mean = 50.3 years
Sd = 15.3 years
Hispanic or Latin American Self-identified race = Hispanic BioMe
PSS011009 At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes 10,013 individuals,
46.0 % Male samples
Mean = 55.9 years
Sd = 13.9 years
East Asian, South East Asian, Native American, South Asian, Other Self-identified race = Other BioMe
PSS011010 At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes 11,443 individuals,
39.0 % Male samples
Mean = 48.4 years
Sd = 14.1 years
African American or Afro-Caribbean Self-identified race = Black BioMe
PSS011010 At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes 19,524 individuals,
37.0 % Male samples
Mean = 50.3 years
Sd = 15.3 years
Hispanic or Latin American Self-identified race = Hispanic BioMe
PSS011010 At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes 10,013 individuals,
46.0 % Male samples
Mean = 55.9 years
Sd = 13.9 years
East Asian, South East Asian, Native American, South Asian, Other Self-identified race = Other BioMe
PSS011011 At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes 16,663 individuals,
48.0 % Male samples
Mean = 51.9 years
Sd = 14.8 years
European Self-identified race = White BioMe
PSS011012 34,939 individuals,
47.0 % Male samples
Mean = 59.1 years
Sd = 16.9 years
European Self-identified race = white MGBB
PSS011012 2,101 individuals,
37.0 % Male samples
Mean = 52.1 years
Sd = 16.3 years
African American or Afro-Caribbean
(Black)
MGBB
PSS011012 1,269 individuals,
34.0 % Male samples
Mean = 46.4 years
Sd = 16.1 years
Hispanic or Latin American
(Hispanic)
MGBB
PSS011012 1,511 individuals,
36.0 % Male samples
Mean = 46.9 years
Sd = 16.3 years
Native American, Asian unspecified, Oceanian, Other MGBB
PSS011013 At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes 2,101 individuals,
37.0 % Male samples
Mean = 52.1 years
Sd = 16.3 years
African American or Afro-Caribbean Self-identified race = Black MGBB
PSS011013 At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes 1,269 individuals,
34.0 % Male samples
Mean = 46.4 years
Sd = 16.1 years
Hispanic or Latin American Self-identified race = Hispanic MGBB
PSS011013 At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes 1,511 individuals,
36.0 % Male samples
Mean = 46.9 years
Sd = 16.3 years
Native American, Asian unspecified, Oceanian, Other Self-identified race = Other MGBB
PSS001088 Severe Insulin-Resistant Diabetes (SIRD) vs. controls
[
  • 1,125 cases
  • , 2,744 controls
]
European Swedish ANDIS
PSS011014 At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes 34,939 individuals,
47.0 % Male samples
Mean = 59.1 years
Sd = 16.9 years
European Self-identified race = White MGBB
PSS000381 Diagnosis of coeliac disease was made by endoscopy for patients referred to a tertiary paediatric clinic in Alberta, Canada, for consideration of coeliac disease diagnosis
[
  • 51 cases
  • , 0 controls
]
,
57.0 % Male samples
Mean = 7.5 years
Sd = 3.8 years
NR STOLLERY_CC
PSS000381 Diagnosis of coeliac disease was made by a modification of European serological diagnostic guidelines for patients referred to a tertiary paediatric clinic in Alberta, Canada, for consideration of coeliac disease diagnosis
[
  • 63 cases
  • , 0 controls
]
,
63.0 % Male samples
Mean = 8.6 years
Sd = 3.9 years
NR STOLLERY_CC
PSS000381 Control subjects (n = 40) were paediatric general gastroenterology patients whom were negative for coeliac disease by both intestinal biopsy and negative tissue transglutaminase serology.
[
  • 0 cases
  • , 40 controls
]
,
48.0 % Male samples
Mean = 4.9 years
Sd = 4.0 years
NR STOLLERY_CC
PSS000382 Coeliac disease cases were identified using either hospital admission code and/or self‐reported coeliac disease.
[
  • 1,237 cases
  • , 378,530 controls
]
European UKB
PSS009105 3,509 individuals European Poland (NE Europe) UKB
PSS001092 All individuals had cystic fibrosis with either 2 severe CFTR mutations and/or clinically diagnosed exocrine pancreatic insufficiency. Cases are individuals with cystic fibrosis related diabetes (CFRD).Phenotypes were obtained from extracted medical charts and CF Foundation Patient Registry through 2011. CFRD was defined by clinician diagnosis of diabetes plus insulin treatment for at least 1 year. The onset of CFRD was defined as the date at which insulin was started, if it was subsequently continued for at least 1 year. In approximately 50% of the participants, independent laboratory data (such as oral glucose tolerance test or hemoglobin A1c) were able to independently confirm the diagnosis of CFRD. Diabetes data were censored at the last clinic visit or date of solid organ transplant.
[
  • 1,341 cases
  • , 4,399 controls
]
,
47.04 % Male samples
Mean = 20.0 years Not reported CGS, CWRU, FrGMC, JHU, UNC
PSS008615 6,300 individuals European Italy (South Europe) UKB