rs539515

▶

GWAS Catalog Trait Associations (13)

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

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 A
OR 0.03
p 8.0e-71
N 453,169
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 C
OR 0.03
p 6.0e-54
N 394,642
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 0.03
p 8.0e-23
N 153,950
Large GWAS
East Asian

body fat percentage

Martin S et al. “Genetic Evidence for Different Adiposity Phenotypes and Their Opposing Influences on Ectopic Fat and Risk of Cardiometabolic Disease.” Diabetes 70(8):1843-1856 (2021)
Allele C
OR —
β 0.028
p 9.0e-54
N 442,278
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 3.0e-46
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 C
OR 0.02
p 3.0e-43
N 337,739
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 1.0e-35
N 325,153
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 5.0e-32
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 0.04
p 5.0e-15
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 C
OR 1.05
p 2.0e-10
N 898,130
Large 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 0.06
p 1.0e-11
N 251,740
Large GWAS
European

grip strength measurement

Tikkanen E et al. “Biological Insights Into Muscular Strength: Genetic Findings in the UK Biobank.” Scientific Reports 8(1):6451 (2018)
Allele A
OR 0.00
p 3.0e-21
N 334,825
Major Consortium StudyLarge GWAS
European

obesity

Bradfield JP et al. “A trans-ancestral meta-analysis of genome-wide association studies reveals loci associated with childhood obesity.” Human Molecular Genetics 28(19):3327-3338 (2019)
Allele A
OR 0.19
p 4.0e-14
N 28,604
Meta-analysisLarge 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 A
OR 0.07
p 4.0e-13
N 111,076
Major Consortium StudyLarge GWAS
African American or Afro-Caribbean

overnutrition, obesity

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 A
OR 0.07
p 6.0e-12
N 109,205
Major Consortium StudyLarge GWAS
African American or Afro-Caribbean

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…