rs4482463

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GWAS Catalog Trait Associations (10)

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

body mass index

Huang J et al. “Genomics and phenomics of body mass index reveals a complex disease network.” Nature Communications 13(1):7973 (2022)
Allele C
OR 0.03
p 3.0e-24
N 1,122,049
Large GWAS
European
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 C
OR 0.02
p 2.0e-19
N 928,679
Large GWAS
multi-ancestry
Koskeridis F et al. “Pleiotropic genetic architecture and novel loci for C-reactive protein levels.” Nature Communications 13(1):6939 (2022)
Allele C
OR 0.03
p 1.0e-22
N 694,649
Large GWAS
European
Hawkes G et al. “Genetic evidence that high BMI in childhood has a protective effect on intermediate diabetes traits, including measures of insulin sensitivity and secretion, after accounting for BMI in adulthood.” Diabetologia 66(8):1472-1480 (2023)
Allele C
OR 0.03
p 6.0e-22
N 441,761
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 C
OR 0.03
p 8.0e-18
N 394,642
Large GWAS
European

body weight

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 0.03
p 7.0e-17
N 394,642
Large GWAS
European

fat pad mass

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 0.03
p 6.0e-15
N 394,642
Large GWAS
European
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 5.0e-14
N 337,196
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 C
OR 0.04
p 2.0e-14
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 2.0e-14
N 394,642
Large GWAS
European

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 4.0e-14
N 394,642
Large GWAS
European

body height

Richardson TG et al. “Use of genetic variation to separate the effects of early and later life adiposity on disease risk: mendelian randomisation study.” Bmj (clinical Research Ed.) 369:m1203 (2020)
Allele C
OR 0.02
p 2.0e-13
N 453,169
Large GWAS
European

hip 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 0.03
p 6.0e-13
N 394,642
Large GWAS
European

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 6.0e-12
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 0.03
p 2.0e-8
N 1,407,282
Meta-analysisLarge GWAS
multi-ancestry

phospholipids:total lipids ratio

Zoodsma M et al. “A genetic map of human metabolism across the allele frequency spectrum.” Nature Genetics 57(10):2445-2455 (2025)
Allele A
OR 0.02
p 2.0e-10
N 450,015
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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