rs11257655

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GWAS Catalog Trait Associations (13)

Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.

type 2 diabetes mellitus

Suzuki K et al. “Genetic drivers of heterogeneity in type 2 diabetes pathophysiology.” Nature 627(8003):347-357 (2024)
Allele T
OR —
p 1.0e-179
N 2,535,601
Large GWAS
multi-ancestry
Elashi AA et al. “Genome-wide association study and trans-ethnic meta-analysis identify novel susceptibility loci for type 2 diabetes mellitus.” Bmc Medical Genomics 17(1):115 (2024)
Allele T
OR 0.10
p 2.0e-78
N 6,710,881
Meta-analysisLarge GWAS
multi-ancestry
Vujkovic M et al. “Discovery of 318 new risk loci for type 2 diabetes and related vascular outcomes among 1.4 million participants in a multi-ancestry meta-analysis.” Nature Genetics 52(7):680-691 (2020)
Allele T
OR 0.09
p 1.0e-63
N 1,407,282
Meta-analysisLarge GWAS
multi-ancestry
Mahajan A et al. “Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps.” Nature Genetics 50(11):1505-1513 (2018)
Allele T
OR 1.09
p 2.0e-32
N 898,130
Large GWAS
European
Sakaue S et al. “A cross-population atlas of genetic associations for 220 human phenotypes.” Nature Genetics 53(10):1415-1424 (2021)
Allele T
OR 0.11
p 2.0e-55
N 667,504
Large GWAS
multi-ancestry
Xue A et al. “Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes.” Nature Communications 9(1):2941 (2018)
Allele T
OR 0.07
p 2.0e-17
N 659,316
Large GWAS
multi-ancestry
Huerta-Chagoya A et al. “Rare variant analyses in 51,256 type 2 diabetes cases and 370,487 controls reveal the pathogenicity spectrum of monogenic diabetes genes.” Nature Genetics 56(11):2370-2379 (2024)
Allele T
OR 0.12
p 3.0e-36
N 421,743
Large GWAS
multi-ancestry
Zhao W et al. “Identification of new susceptibility loci for type 2 diabetes and shared etiological pathways with coronary heart disease.” Nature Genetics 49(10):1450-1457 (2017)
Allele T
OR 0.08
p 3.0e-10
N 183,651
Large GWAS
multi-ancestry
Verma A et al. “Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program.” Science (new York, N.y.) 385(6706):eadj1182 (2024)
Allele T
OR 0.09
p 2.0e-14
N 116,014
Major Consortium StudyLarge GWAS
African American or Afro-Caribbean
Mahajan A et al. “Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility.” Nature Genetics 46(3):234-44 (2014)
Allele T
OR 1.06
p 3.0e-9
N 110,452
Meta-analysisLarge GWAS
multi-ancestry
Bonàs-Guarch S et al. “Re-analysis of public genetic data reveals a rare X-chromosomal variant associated with type 2 diabetes.” Nature Communications 9(1):321 (2018)
Allele T
OR 1.13
p 4.0e-10
N 70,127
Large GWAS
European
Loh M et al. “Identification of genetic effects underlying type 2 diabetes in South Asian and European populations.” Communications Biology 5(1):329 (2022)
Allele T
OR 0.11
p 5.0e-10
N 50,533
Large GWAS
South Asian
Imamura M et al. “Genome-wide association studies in the Japanese population identify seven novel loci for type 2 diabetes.” Nature Communications 7:10531 (2016)
Allele T
OR 1.12
p 1.0e-12
N 41,646
Large GWAS
multi-ancestry
Mahajan A et al. “Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation.” Nature Genetics 54(5):560-572 (2022)
Allele T
OR 0.14
p 3.0e-10
N 27,417
Large GWAS
Hispanic or Latin American
Li H et al. “A genome-wide association study identifies GRK5 and RASGRP1 as type 2 diabetes loci in Chinese Hans.” Diabetes 62(1):291-8 (2013)
Allele T
OR 1.15
p 7.0e-9
N 3,712
Large GWAS
multi-ancestry

HbA1c measurement

Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)
Allele T
OR 0.03
p 9.0e-50
N 394,642
Large GWAS
European
Chen J et al. “The trans-ancestral genomic architecture of glycemic traits.” Nature Genetics 53(6):840-860 (2021)
Allele T
OR 0.01
p 2.0e-13
N 146,806
Large GWAS
European
Verma A et al. “Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program.” Science (new York, N.y.) 385(6706):eadj1182 (2024)
Allele T
OR 0.05
p 4.0e-12
N 98,735
Major Consortium StudyLarge GWAS
African American or Afro-Caribbean

hemoglobin A1 measurement

Sakaue S et al. “A cross-population atlas of genetic associations for 220 human phenotypes.” Nature Genetics 53(10):1415-1424 (2021)
Allele T
OR 0.03
p 9.0e-47
N 415,403
Large GWAS
multi-ancestry

Drugs used in diabetes use measurement

Sakaue S et al. “A cross-population atlas of genetic associations for 220 human phenotypes.” Nature Genetics 53(10):1415-1424 (2021)
Allele T
OR 0.11
p 3.0e-40
N 484,639
Large GWAS
multi-ancestry
Wu Y et al. “Genome-wide association study of medication-use and associated disease in the UK Biobank.” Nature Communications 10(1):1891 (2019)
Allele T
OR 0.10
p 3.0e-12
N 305,913
Major Consortium StudyLarge GWAS
European

diabetic neuropathy

Verma A et al. “Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program.” Science (new York, N.y.) 385(6706):eadj1182 (2024)
Allele C
OR 0.07
p 6.0e-18
N 614,793
Major Consortium StudyLarge GWAS
multi-ancestry

diabetic retinopathy

Verma A et al. “Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program.” Science (new York, N.y.) 385(6706):eadj1182 (2024)
Allele C
OR 0.08
p 7.0e-15
N 611,288
Major Consortium StudyLarge GWAS
multi-ancestry

diabetic eye disease

Verma A et al. “Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program.” Science (new York, N.y.) 385(6706):eadj1182 (2024)
Allele C
OR 0.08
p 6.0e-14
N 609,979
Major Consortium StudyLarge GWAS
multi-ancestry

body mass index

Akiyama M et al. “Genome-wide association study identifies 112 new loci for body mass index in the Japanese population.” Nature Genetics 49(10):1458-1467 (2017)
Allele T
OR 0.01
p 7.0e-9
N 158,284
Large GWAS
multi-ancestry

This variant is in our database but has no known associations or PRS memberships yet.

Gene information from NCBI Gene. Variant classifications from ClinVar.

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