Trait: autoimmune disorder of endocrine system

Trait Information
Identifier MONDO_0000569
Description A hypersensitivity reaction type II disease that involves the endocrine system. [MONDO: patterns/location]
Trait categories
Immune system disorder
Other disease
Synonyms 2 synonyms
  • endocrine system autoimmune disease
  • endocrine system hypersensitivity reaction type II disease
Child trait(s) 3 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 endocrine system" 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
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
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
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
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
PGS005264
(graves_disease_mixed_pt)
 PGP000748 |
White SL et al. medRxiv (2025)
|Pre		 Graves' disease Graves disease 112
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005264/ScoringFiles/PGS005264.txt.gz
PGS005265
(graves_disease_mixed_prscs)
 PGP000748 |
White SL et al. medRxiv (2025)
|Pre		 Graves' disease Graves disease 1,085,173
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005265/ScoringFiles/PGS005265.txt.gz
PGS005266
(graves_disease_eur_prscs)
 PGP000748 |
White SL et al. medRxiv (2025)
|Pre		 Graves' disease Graves disease 1,085,170
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005266/ScoringFiles/PGS005266.txt.gz
PGS005270
(lymphocytic_thyroiditis_mixed_pt)
 PGP000748 |
White SL et al. medRxiv (2025)
|Pre		 Lymphocytic thyroiditis Hashimoto thyroiditis 55
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005270/ScoringFiles/PGS005270.txt.gz
PGS005271
(lymphocytic_thyroiditis_mixed_prscs)
 PGP000748 |
White SL et al. medRxiv (2025)
|Pre		 Lymphocytic thyroiditis Hashimoto thyroiditis 1,085,156
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005271/ScoringFiles/PGS005271.txt.gz
PGS005272
(lymphocytic_thyroiditis_eur_prscs)
 PGP000748 |
White SL et al. medRxiv (2025)
|Pre		 Lymphocytic thyroiditis Hashimoto thyroiditis 1,085,142
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005272/ScoringFiles/PGS005272.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
PGS018671
(TPMI_242.1_Lassosum2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Graves disease Graves disease 415
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018671/ScoringFiles/PGS018671.txt.gz
PGS018672
(TPMI_242.1_LDpred2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Graves disease Graves disease 220,843
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018672/ScoringFiles/PGS018672.txt.gz
PGS018673
(TPMI_242.1_MegaPRS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Graves disease Graves disease 37,771
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018673/ScoringFiles/PGS018673.txt.gz
PGS018674
(TPMI_242.1_PRS-CS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Graves disease Graves disease 983,772
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018674/ScoringFiles/PGS018674.txt.gz
PGS018675
(TPMI_242.1_PRSmix+)
 PGP000835 |
Chen HH et al. Nature (2025)
 Graves disease Graves disease 1,071,402
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018675/ScoringFiles/PGS018675.txt.gz
PGS018676
(TPMI_242.1_SBayesR)
 PGP000835 |
Chen HH et al. Nature (2025)
 Graves disease Graves disease 975,251
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018676/ScoringFiles/PGS018676.txt.gz
PGS018695
(TPMI_245.2_Lassosum2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Chronic thyroiditis Hashimoto thyroiditis 171
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018695/ScoringFiles/PGS018695.txt.gz
PGS018696
(TPMI_245.2_LDpred2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Chronic thyroiditis Hashimoto thyroiditis 939,816
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018696/ScoringFiles/PGS018696.txt.gz
PGS018697
(TPMI_245.2_MegaPRS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Chronic thyroiditis Hashimoto thyroiditis 392,668
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018697/ScoringFiles/PGS018697.txt.gz
PGS018698
(TPMI_245.2_PRS-CS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Chronic thyroiditis Hashimoto thyroiditis 983,771
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018698/ScoringFiles/PGS018698.txt.gz
PGS018699
(TPMI_245.2_PRSmix+)
 PGP000835 |
Chen HH et al. Nature (2025)
 Chronic thyroiditis Hashimoto thyroiditis 1,071,404
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018699/ScoringFiles/PGS018699.txt.gz
PGS018700
(TPMI_245.2_SBayesR)
 PGP000835 |
Chen HH et al. Nature (2025)
 Chronic thyroiditis Hashimoto thyroiditis 979,446
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018700/ScoringFiles/PGS018700.txt.gz
PGS018701
(TPMI_245.21_Lassosum2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Chronic lymphocytic thyroiditis Hashimoto thyroiditis 190
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018701/ScoringFiles/PGS018701.txt.gz
PGS018702
(TPMI_245.21_LDpred2)
 PGP000835 |
Chen HH et al. Nature (2025)
 Chronic lymphocytic thyroiditis Hashimoto thyroiditis 318,664
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018702/ScoringFiles/PGS018702.txt.gz
PGS018703
(TPMI_245.21_MegaPRS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Chronic lymphocytic thyroiditis Hashimoto thyroiditis 394,827
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018703/ScoringFiles/PGS018703.txt.gz
PGS018704
(TPMI_245.21_PRS-CS)
 PGP000835 |
Chen HH et al. Nature (2025)
 Chronic lymphocytic thyroiditis Hashimoto thyroiditis 983,771
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018704/ScoringFiles/PGS018704.txt.gz
PGS018705
(TPMI_245.21_PRSmix+)
 PGP000835 |
Chen HH et al. Nature (2025)
 Chronic lymphocytic thyroiditis Hashimoto thyroiditis 1,071,405
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018705/ScoringFiles/PGS018705.txt.gz
PGS018706
(TPMI_245.21_SBayesR)
 PGP000835 |
Chen HH et al. Nature (2025)
 Chronic lymphocytic thyroiditis Hashimoto thyroiditis 1,005,256
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018706/ScoringFiles/PGS018706.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 — — —
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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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
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 —
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 —
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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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] R²: 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 —
PPM022747 PGS005264
(graves_disease_mixed_pt)
 PSS012069|
Multi-ancestry (including European)|
94,651 individuals
 PGP000748 |
White SL et al. medRxiv (2025)
|Pre		 Reported Trait: graves' disease OR: 1.008
β: 0.008		 AUROC: 0.6587 — — —
PPM022748 PGS005265
(graves_disease_mixed_prscs)
 PSS012069|
Multi-ancestry (including European)|
94,651 individuals
 PGP000748 |
White SL et al. medRxiv (2025)
|Pre		 Reported Trait: graves' disease OR: 1.62508
β: 0.48556		 AUROC: 0.66522 — — —
PPM022749 PGS005266
(graves_disease_eur_prscs)
 PSS012069|
Multi-ancestry (including European)|
94,651 individuals
 PGP000748 |
White SL et al. medRxiv (2025)
|Pre		 Reported Trait: graves' disease OR: 1.54333
β: 0.43394		 AUROC: 0.66373 — — —
PPM022753 PGS005270
(lymphocytic_thyroiditis_mixed_pt)
 PSS012069|
Multi-ancestry (including European)|
94,651 individuals
 PGP000748 |
White SL et al. medRxiv (2025)
|Pre		 Reported Trait: lymphocytic thyroiditis OR: 1.037
β: 0.037		 AUROC: 0.63868 — — —
PPM022754 PGS005271
(lymphocytic_thyroiditis_mixed_prscs)
 PSS012069|
Multi-ancestry (including European)|
94,651 individuals
 PGP000748 |
White SL et al. medRxiv (2025)
|Pre		 Reported Trait: lymphocytic thyroiditis OR: 1.54908
β: 0.43766		 AUROC: 0.62973 — — —
PPM022755 PGS005272
(lymphocytic_thyroiditis_eur_prscs)
 PSS012069|
Multi-ancestry (including European)|
94,651 individuals
 PGP000748 |
White SL et al. medRxiv (2025)
|Pre		 Reported Trait: lymphocytic thyroiditis OR: 1.41698
β: 0.34853		 AUROC: 0.60542 — — —
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
PPM036853 PGS018671
(TPMI_242.1_Lassosum2)
 PSS012568|
East Asian Ancestry|
17,305 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Graves disease — AUROC: 0.74792 R²: 0.03286 sex, age, array, PCs 1-10 —
PPM036854 PGS018672
(TPMI_242.1_LDpred2)
 PSS012567|
East Asian Ancestry|
17,305 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Graves disease — AUROC: 0.75387 R²: 0.03447 sex, age, array, PCs 1-10 —
PPM036855 PGS018673
(TPMI_242.1_MegaPRS)
 PSS012569|
East Asian Ancestry|
17,305 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Graves disease — AUROC: 0.75062 R²: 0.03216 sex, age, array, PCs 1-10 —
PPM036856 PGS018674
(TPMI_242.1_PRS-CS)
 PSS012570|
East Asian Ancestry|
17,305 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Graves disease — AUROC: 0.74562 R²: 0.03194 sex, age, array, PCs 1-10 —
PPM036857 PGS018675
(TPMI_242.1_PRSmix+)
 PSS012571|
East Asian Ancestry|
17,305 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Graves disease — AUROC: 0.75988 R²: 0.03585 sex, age, array, PCs 1-10 —
PPM036858 PGS018676
(TPMI_242.1_SBayesR)
 PSS012572|
East Asian Ancestry|
17,305 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Graves disease — AUROC: 0.74098 R²: 0.03008 sex, age, array, PCs 1-10 —
PPM036877 PGS018695
(TPMI_245.2_Lassosum2)
 PSS012598|
East Asian Ancestry|
17,340 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Chronic thyroiditis — AUROC: 0.80731 R²: 0.04802 sex, age, array, PCs 1-10 —
PPM036878 PGS018696
(TPMI_245.2_LDpred2)
 PSS012597|
East Asian Ancestry|
17,340 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Chronic thyroiditis — AUROC: 0.81251 R²: 0.04969 sex, age, array, PCs 1-10 —
PPM036879 PGS018697
(TPMI_245.2_MegaPRS)
 PSS012599|
East Asian Ancestry|
17,340 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Chronic thyroiditis — AUROC: 0.80531 R²: 0.04823 sex, age, array, PCs 1-10 —
PPM036880 PGS018698
(TPMI_245.2_PRS-CS)
 PSS012600|
East Asian Ancestry|
17,340 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Chronic thyroiditis — AUROC: 0.81019 R²: 0.04915 sex, age, array, PCs 1-10 —
PPM036881 PGS018699
(TPMI_245.2_PRSmix+)
 PSS012601|
East Asian Ancestry|
17,340 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Chronic thyroiditis — AUROC: 0.81625 R²: 0.05203 sex, age, array, PCs 1-10 —
PPM036882 PGS018700
(TPMI_245.2_SBayesR)
 PSS012602|
East Asian Ancestry|
17,340 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Chronic thyroiditis — AUROC: 0.80447 R²: 0.04689 sex, age, array, PCs 1-10 —
PPM036883 PGS018701
(TPMI_245.21_Lassosum2)
 PSS012592|
East Asian Ancestry|
17,333 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Chronic lymphocytic thyroiditis — AUROC: 0.8083 R²: 0.04684 sex, age, array, PCs 1-10 —
PPM036884 PGS018702
(TPMI_245.21_LDpred2)
 PSS012591|
East Asian Ancestry|
17,333 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Chronic lymphocytic thyroiditis — AUROC: 0.81429 R²: 0.04859 sex, age, array, PCs 1-10 —
PPM036885 PGS018703
(TPMI_245.21_MegaPRS)
 PSS012593|
East Asian Ancestry|
17,333 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Chronic lymphocytic thyroiditis — AUROC: 0.80609 R²: 0.04681 sex, age, array, PCs 1-10 —
PPM036886 PGS018704
(TPMI_245.21_PRS-CS)
 PSS012594|
East Asian Ancestry|
17,333 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Chronic lymphocytic thyroiditis — AUROC: 0.80804 R²: 0.04631 sex, age, array, PCs 1-10 —
PPM036887 PGS018705
(TPMI_245.21_PRSmix+)
 PSS012595|
East Asian Ancestry|
17,333 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Chronic lymphocytic thyroiditis — AUROC: 0.81711 R²: 0.05007 sex, age, array, PCs 1-10 —
PPM036888 PGS018706
(TPMI_245.21_SBayesR)
 PSS012596|
East Asian Ancestry|
17,333 individuals
 PGP000835 |
Chen HH et al. Nature (2025)
 Reported Trait: Chronic lymphocytic thyroiditis — AUROC: 0.8053 R²: 0.04581 sex, age, array, PCs 1-10 —

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
PSS008169 — — 5,228 individuals — South Asian India (South Asia) 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 —
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 —
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.
PSS012591 245.2,E06.3 —
[
  • 253 cases
  • , 17,080 controls
]
,
49.3 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
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.
PSS012567 242.0,E05.0 —
[
  • 225 cases
  • , 17,080 controls
]
,
49.58 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS011295 — — 1,798 individuals — Not reported — NR StartRight
PSS012568 242.0,E05.0 —
[
  • 225 cases
  • , 17,080 controls
]
,
49.58 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012569 242.0,E05.0 —
[
  • 225 cases
  • , 17,080 controls
]
,
49.58 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012570 242.0,E05.0 —
[
  • 225 cases
  • , 17,080 controls
]
,
49.58 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012571 242.0,E05.0 —
[
  • 225 cases
  • , 17,080 controls
]
,
49.58 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012572 242.0,E05.0 —
[
  • 225 cases
  • , 17,080 controls
]
,
49.58 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012593 245.2,E06.3 —
[
  • 253 cases
  • , 17,080 controls
]
,
49.3 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
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 —
PSS012238 — —
[
  • 261 cases
  • , 18,492 controls
]
 — Hispanic or Latin American — AllofUs —
PSS012238 — —
[
  • 584 cases
  • , 51,699 controls
]
 — European — 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 —
PSS012244 — —
[
  • 733 cases
  • , 405,657 controls
]
 — European — UKB —
PSS012592 245.2,E06.3 —
[
  • 253 cases
  • , 17,080 controls
]
,
49.3 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012597 245.2, 245.3, 245.8,E06.2, E06.3, E06.5 —
[
  • 260 cases
  • , 17,080 controls
]
,
49.28 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012598 245.2, 245.3, 245.8,E06.2, E06.3, E06.5 —
[
  • 260 cases
  • , 17,080 controls
]
,
49.28 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012599 245.2, 245.3, 245.8,E06.2, E06.3, E06.5 —
[
  • 260 cases
  • , 17,080 controls
]
,
49.28 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012600 245.2, 245.3, 245.8,E06.2, E06.3, E06.5 —
[
  • 260 cases
  • , 17,080 controls
]
,
49.28 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012601 245.2, 245.3, 245.8,E06.2, E06.3, E06.5 —
[
  • 260 cases
  • , 17,080 controls
]
,
49.28 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012602 245.2, 245.3, 245.8,E06.2, E06.3, E06.5 —
[
  • 260 cases
  • , 17,080 controls
]
,
49.28 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012594 245.2,E06.3 —
[
  • 253 cases
  • , 17,080 controls
]
,
49.3 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012595 245.2,E06.3 —
[
  • 253 cases
  • , 17,080 controls
]
,
49.3 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS012596 245.2,E06.3 —
[
  • 253 cases
  • , 17,080 controls
]
,
49.3 % Male samples
 — East Asian
(Han Chinese)		 — TPMI —
PSS008840 — — 3,490 individuals — African unspecified Nigeria (West Africa) UKB —
PSS011762 — — 8,417 individuals — European — BBofA —
PSS012260 — — 158 individuals — European — FDS —
PSS008391 — — 1,107 individuals — Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) 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.
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 —
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)
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 —
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 —
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 —
PSS012069 Cases - ICD-9-CM codes: 193, V10.87, ICD-10-CM billing codes: C73, Z85.850, ICD-9 codes: 193, V10.87, ICD-10 codes: C73, SNOMED: 92767001 Carcinoma in situ of thyroid gland, 363478007 Malignant tumor of thyroid gland, 255028004 Follicular thyroid carcinoma, 423158009 Hurthle cell carcinoma of thyroid, 772992009 Primary differentiated carcinoma of thyroid gland. Controls - ICD-9-CM codes: 241 Nontoxic nodular goiter, 241.0 Nontoxic uninodular goiter, 241.1 Nontoxic multinodular goiter, 241.9 Unspecified nontoxic nodular goiter ICD-10-CM billing codes: E01.1 Iodine-deficiency related multinodular (endemic) goiter, E04.1 Nontoxic single thyroid nodule, E04.2 Nontoxic multinodular goiter, E04.8 Other specified nontoxic goiter, E04.9 Nontoxic goiter, unspecified, ICD-9-CM codes: 241 Nontoxic nodular goiter, 241.0 Nontoxic uninodular goiter, 241.1 Nontoxic multinodular goiter, 241.9 Unspecified nontoxic nodular goiter, ICD-10 codes: E01.1 Iodine-deficiency related multinodular (endemic) goiter, E04.1 Nontoxic single thyroid nodule, E04.2 Nontoxic multinodular goiter, E04.8 Other specified nontoxic goiter, E04.9 Nontoxic goiter, unspecified, SNOMED: 419153005 Nodular goiter, 190236006 Non-toxic nodular goiter, 66392007 Substernal goiter, 60968001 Adenomatous goiter — 94,651 individuals — African American or Afro-Caribbean, Hispanic or Latin American, European — CCPM —