rs76895963

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GWAS Catalog Trait Associations (95)

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 5.0e-236
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 0.46
p 3.0e-60
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 0.42
p 1.0e-96
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 1.62
p 1.0e-69
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 0.46
p 8.0e-52
N 667,504
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 1.66
p 5.0e-75
N 492,192
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 0.34
p 5.0e-79
N 432,648
Major Consortium StudyLarge GWAS
European
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 0.79
p 1.0e-126
N 421,743
Large GWAS
multi-ancestry
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 1.08
p 5.0e-19
N 394,626
Large GWAS
European
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 1.72
p 2.0e-10
N 70,127
Large GWAS
European

body height

Jee YH et al. “Genome-wide association studies in a large Korean cohort identify quantitative trait loci for 36 traits and illuminate their genetic architectures.” Nature Communications 16(1):4935 (2025)
Allele T
OR 0.25
p 4.0e-229
N 928,679
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 0.29
p 8.0e-42
N 607,511
Major Consortium StudyLarge 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 T
OR 0.14
p 2.0e-101
N 525,444
Large GWAS
multi-ancestry
Schoeler T et al. “Combining cross-sectional and longitudinal genomic approaches to identify determinants of cognitive and physical decline.” Nature Communications 16(1):4524 (2025)
Allele T
OR 0.12
p 3.0e-135
N 405,540
Large GWAS
European
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 0.11
p 4.0e-151
N 394,642
Large GWAS
European
Nagy R et al. “Exploration of haplotype research consortium imputation for genome-wide association studies in 20,032 Generation Scotland participants.” Genome Medicine 9(1):23 (2017)
Allele T
OR 0.01
p 3.0e-8
N 26,828
Major Consortium StudyLarge GWAS
European

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 G
OR 0.17
p 3.0e-130
N 394,642
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 G
OR 0.30
p 6.0e-115
N 338,848
Major Consortium StudyLarge GWAS
European

appendicular lean mass

Pei YF et al. “The genetic architecture of appendicular lean mass characterized by association analysis in the UK Biobank study.” Communications Biology 3(1):608 (2020)
Allele T
OR 0.16
p 8.0e-112
N 450,243
Major Consortium StudyLarge GWAS
European
Hernandez Cordero AI et al. “Genome-wide Associations Reveal Human-Mouse Genetic Convergence and Modifiers of Myogenesis, CPNE1 and STC2.” American Journal of Human Genetics 105(6):1222-1236 (2019)
Allele T
OR 0.24
p 3.0e-10
N 85,750
Large GWAS
European

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 G
OR 0.19
p 2.0e-101
N 415,403
Large GWAS
multi-ancestry

health trait

Schoeler T et al. “Combining cross-sectional and longitudinal genomic approaches to identify determinants of cognitive and physical decline.” Nature Communications 16(1):4524 (2025)
Allele T
OR 0.08
p 8.0e-80
N 405,979
Large GWAS
European

whole body water mass

Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)
Allele G
OR 0.08
p 3.0e-79
N 394,642
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 T
OR 0.34
p 4.0e-77
N 431,305
Major Consortium StudyLarge GWAS
European
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 0.54
p 5.0e-29
N 394,626
Large GWAS
European

base metabolic rate measurement

Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)
Allele G
OR 0.08
p 1.0e-72
N 394,642
Large GWAS
European

lean body mass

Harris BHL et al. “New role of fat-free mass in cancer risk linked with genetic predisposition.” Scientific Reports 14(1):7270 (2024)
Allele G
OR 0.09
p 7.0e-71
N 337,739
Large GWAS
European

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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