rs17036160
▶GWAS Catalog Trait Associations (10)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
GWAS Catalog Trait Associations (10)
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 C
OR —
p 3.0e-78
N 2,535,601
Large 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 C
OR 0.10
p 2.0e-53
N 1,407,282
Meta-analysisLarge GWAS
multi-ancestry
Sakaue S et al. “A cross-population atlas of genetic associations for 220 human phenotypes.” Nature Genetics 53(10):1415-1424 (2021)
Allele C
OR 0.11
p 2.0e-22
N 667,504
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 C
OR 0.08
p 1.0e-44
N 432,648
Major Consortium StudyLarge GWAS
European
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 C
OR 0.12
p 1.0e-33
N 251,740
Large GWAS
European
diabetes mellitus
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 1.0e-43
N 431,305
Major Consortium StudyLarge GWAS
European
triglyceride measurement
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 0.04
p 4.0e-23
N 391,247
Major Consortium StudyLarge GWAS
European
Abnormality of the skeletal system
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 0.02
p 6.0e-19
N 394,642
Large GWAS
European
body fat distribution
Ahmed A et al. “MRI-Based Genetic Studies Reveal Specific Genetic Variants and Disease Risks Associated With Fat Distribution Across Anatomical Sites.” Journal of Obesity 2025:7792701 (2025)
Allele T
OR 0.09
p 3.0e-16
N 37,589
Large 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 1.0e-15
N 434,644
Major Consortium StudyLarge GWAS
European
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 0.12
p 4.0e-15
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 0.12
p 7.0e-11
N 305,913
Major Consortium StudyLarge GWAS
European
serum alanine aminotransferase amount
Vujkovic M et al. “A multiancestry genome-wide association study of unexplained chronic ALT elevation as a proxy for nonalcoholic fatty liver disease with histological and radiological validation.” Nature Genetics 54(6):761-771 (2022)
Allele T
OR 0.07
p 3.0e-10
N 218,595
Large GWAS
multi-ancestry
BMI-adjusted fasting blood insulin measurement
Downie CG et al. “Multi-ethnic GWAS and fine-mapping of glycaemic traits identify novel loci in the PAGE Study.” Diabetologia 65(3):477-489 (2022)
Allele T
OR 0.07
p 9.0e-10
N 48,395
Large GWAS
multi-ancestry
glucose measurement
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 0.06
p 1.0e-31
N 601,780
Major Consortium StudyLarge 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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