rs10938398

This is a intergenic variant variant.

▶

GWAS Catalog Trait Associations (10)

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

body weight

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 A
OR 0.03
p 2.0e-87
N 928,679
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 A
OR 0.02
p 3.0e-34
N 394,642
Large GWAS
European

body mass index

Harris BHL et al. “New role of fat-free mass in cancer risk linked with genetic predisposition.” Scientific Reports 14(1):7270 (2024)
Allele A
OR 0.03
p 2.0e-41
N 342,566
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 A
OR 0.02
p 2.0e-39
N 394,642
Large GWAS
European
Gong J et al. “Trans-ethnic analysis of metabochip data identifies two new loci associated with BMI.” International Journal of Obesity (2005) 42(3):384-390 (2018)
Allele A
OR 0.01
p 4.0e-13
N 102,514
Large GWAS
multi-ancestry

fat pad 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 A
OR 0.03
p 1.0e-37
N 337,196
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 A
OR 0.02
p 2.0e-32
N 394,642
Large GWAS
European

visceral adipose tissue quantity

Karlsson T et al. “Contribution of genetics to visceral adiposity and its relation to cardiovascular and metabolic disease.” Nature Medicine 25(9):1390-1395 (2019)
Allele A
OR 0.03
p 1.0e-29
N 325,153
Large GWAS
European

waist circumference

Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)
Allele A
OR 0.02
p 1.0e-26
N 394,642
Large GWAS
European

heart failure

Levin MG et al. “Genome-wide association and multi-trait analyses characterize the common genetic architecture of heart failure.” Nature Communications 13(1):6914 (2022)
Allele G
OR 0.03
p 9.0e-16
N 1,665,481
Large GWAS
multi-ancestry
Henry A et al. “Genome-wide association study meta-analysis provides insights into the etiology of heart failure and its subtypes.” Nature Genetics 57(4):815-828 (2025)
Allele G
OR 0.03
p 4.0e-10
N 1,968,806
Meta-analysisLarge GWAS
multi-ancestry
Enzan N et al. “Genome-wide analysis of heart failure yields insights into disease heterogeneity and enables prognostic prediction in the Japanese population.” Nature Communications 16(1):9680 (2025)
Allele G
OR 0.04
p 3.0e-13
N 1,672,415
Large GWAS
multi-ancestry
Rasooly D et al. “Genome-wide association analysis and Mendelian randomization proteomics identify drug targets for heart failure.” Nature Communications 14(1):3826 (2023)
Allele G
OR 0.03
p 5.0e-9
N 1,279,610
Large GWAS
European
Jordà P et al. “Genetic analyses across cardiovascular traits: leveraging genetic correlations to empower locus discovery and prediction in common cardiovascular diseases.” Npj Genomic Medicine 10(1):65 (2025)
Allele G
OR 5.76
p 8.0e-9
N 358,418
Large GWAS
European

coronary artery disease

Tcheandjieu C et al. “Large-scale genome-wide association study of coronary artery disease in genetically diverse populations.” Nature Medicine 28(8):1679-1692 (2022)
Allele A
OR 0.02
p 5.0e-8
N 1,077,578
Large GWAS
multi-ancestry

body fat percentage

Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)
Allele A
OR 0.02
p 3.0e-30
N 394,642
Large GWAS
European

type 2 diabetes mellitus

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 G
OR 0.04
p 7.0e-16
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 G
OR 0.04
p 4.0e-20
N 1,114,458
Meta-analysisLarge GWAS
European
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 G
OR 1.05
p 4.0e-12
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 G
OR 0.05
p 5.0e-14
N 667,504
Large GWAS
multi-ancestry
Spracklen CN et al. “Identification of type 2 diabetes loci in 433,540 East Asian individuals.” Nature 582(7811):240-245 (2020)
Allele G
OR 1.05
p 4.0e-10
N 433,540
Large GWAS
East Asian
Suzuki K et al. “Identification of 28 new susceptibility loci for type 2 diabetes in the Japanese population.” Nature Genetics 51(3):379-386 (2019)
Allele G
OR 1.06
p 2.0e-9
N 191,764
Large GWAS
East Asian

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

Gene information from NCBI Gene. Variant classifications from ClinVar.

Community Wiki

No community notes yet for this variant. Sign in to start one.

Comments

Sign in to join the discussion.

Loading comments…