rs10513801

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GWAS Catalog Trait Associations (8)

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

body mass index

Pulit SL et al. “Meta-analysis of genome-wide association studies for body fat distribution in 694 649 individuals of European ancestry.” Human Molecular Genetics 28(1):166-174 (2019)
Allele T
OR 0.04
p 6.0e-49
N 434,794
Meta-analysisLarge GWAS
European
Koskeridis F et al. “Pleiotropic genetic architecture and novel loci for C-reactive protein levels.” Nature Communications 13(1):6939 (2022)
Allele T
OR 0.04
p 1.0e-47
N 694,649
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 T
OR 0.07
p 8.0e-11
N 153,950
Large GWAS
East Asian

morbid 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 T
OR 0.11
p 2.0e-25
N 431,717
Major Consortium StudyLarge GWAS
European

hematocrit

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 0.02
p 3.0e-22
N 394,642
Large GWAS
European

total cholesterol measurement

Graham SE et al. “The power of genetic diversity in genome-wide association studies of lipids.” Nature 600(7890):675-679 (2021)
Allele G
OR 0.02
p 9.0e-14
N 1,320,016
Large GWAS
European

serum creatinine amount, glomerular filtration rate

Pattaro C et al. “Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function.” Nature Communications 7:10023 (2016)
Allele T
OR —
β 0.007
p 1.0e-9
N 118,448
Large GWAS
European

high density lipoprotein cholesterol measurement

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 0.04
p 3.0e-32
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 0.04
p 2.0e-13
N 578,125
Major Consortium StudyLarge GWAS
multi-ancestry
Richardson TG et al. “Evaluating the relationship between circulating lipoprotein lipids and apolipoproteins with risk of coronary heart disease: A multivariable Mendelian randomisation analysis.” Plos Medicine 17(3):e1003062 (2020)
Allele T
OR 0.03
p 8.0e-28
N 403,943
Large GWAS
European
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Research that mentions this SNP (1)

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Associations of polymorphisms in the genes of FGFR2, FGF1, and RBFOX2 with breast cancer risk by estrogen/progesterone receptor status
AssociationN=2,416Yu‐Ling Cen et al.(2013)· Molecular Carcinogenesis

A hospital-based case-control study in rural and urban India (1,204 cases; 1,212 controls) examined genetic and lifestyle risk factors for breast cancer. Four SNPs in FGFR2 (rs1219648, rs2420946, rs2981575, rs2981582) showed positive associations with breast cancer (ORs 1.32-1.47). Additional SNPs in obesity and metabolic genes (rs374748 in FBN2, rs2922763 in HNF4G, rs2116830 in KCNMA1, rs11121832 in MTHFR, rs16886165 in MAP3K1, rs11594610 in TCF7L2, rs2274459 in MLN) were associated with increased breast cancer risk. Waist-to-hip ratio ≥0.95 showed strong association (OR 3.78; 95% CI 2.92-4.89), and women living first 20 years in rural areas showed protective effect (OR 0.77).

Traits studied:Breast cancerBreast cancer riskER+/PR+ breast cancerER/PR negative breast cancerTriple negative breast cancer
PubMedDOIMetascience Observatory

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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