rs7759938
▶GWAS Catalog Trait Associations (9)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
GWAS Catalog Trait Associations (9)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
body height
Yengo L et al. “A saturated map of common genetic variants associated with human height.” Nature 610(7933):704-712 (2022)
Allele C
OR 0.05
p 1.0e-300
N 4,080,687
Large GWAS
European
Lango Allen H et al. “Hundreds of variants clustered in genomic loci and biological pathways affect human height.” Nature 467(7317):832-8 (2010)
Allele C
OR —
β 0.045
p 8.0e-31
N 133,653
Large GWAS
European
He M et al. “Meta-analysis of genome-wide association studies of adult height in East Asians identifies 17 novel loci.” Human Molecular Genetics 24(6):1791-800 (2015)
Allele C
OR 0.03
p 5.0e-8
N 36,227
Meta-analysisLarge GWAS
East Asian
age at menarche
Perry JR et al. “Parent-of-origin-specific allelic associations among 106 genomic loci for age at menarche.” Nature 514(7520):92-97 (2014)
Allele C
OR 0.12
p 8.0e-110
N 182,413
Large GWAS
European
Elks CE et al. “Thirty new loci for age at menarche identified by a meta-analysis of genome-wide association studies.” Nature Genetics 42(12):1077-85 (2010)
Allele C
OR 6.40
p 5.0e-60
N 87,802
Meta-analysisLarge GWAS
European
Horikoshi M et al. “Elucidating the genetic architecture of reproductive ageing in the Japanese population.” Nature Communications 9(1):1977 (2018)
Allele C
OR 0.08
p 4.0e-16
N 67,029
Large GWAS
multi-ancestry
Fernández-Rhodes L et al. “The genetic underpinnings of variation in ages at menarche and natural menopause among women from the multi-ethnic Population Architecture using Genomics and Epidemiology (PAGE) Study: A trans-ethnic meta-analysis.” Plos One 13(7):e0200486 (2018)
Allele C
OR 0.11
p 5.0e-18
N 44,367
Meta-analysisLarge GWAS
multi-ancestry
Perry JR et al. “Meta-analysis of genome-wide association data identifies two loci influencing age at menarche.” Nature Genetics 41(6):648-50 (2009)
Allele C
OR 0.09
p 7.0e-9
N 17,510
Meta-analysisLarge GWAS
European
BMI-adjusted hip circumference
Shungin D et al. “New genetic loci link adipose and insulin biology to body fat distribution.” Nature 518(7538):187-196 (2015)
Allele T
OR 0.03
p 2.0e-13
N 143,480
Large GWAS
multi-ancestry
testosterone measurement
Ruth KS et al. “Using human genetics to understand the disease impacts of testosterone in men and women.” Nature Medicine 26(2):252-258 (2020)
Allele T
OR 0.01
p 2.0e-13
N 425,097
Large GWAS
European
grip strength measurement
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 0.01
p 4.0e-13
N 394,642
Large GWAS
European
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 0.01
p 1.0e-11
N 404,112
Large GWAS
European
comparative body size at age 10, self-reported
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 0.01
p 3.0e-11
N 453,169
Large GWAS
European
puberty, height growth attribute
Cousminer DL et al. “Genome-wide association and longitudinal analyses reveal genetic loci linking pubertal height growth, pubertal timing and childhood adiposity.” Human Molecular Genetics 22(13):2735-47 (2013)
Allele C
OR 0.11
p 4.0e-9
N 10,799
Large GWAS
European
intraocular pressure measurement
Gao XR et al. “Genome-wide association analyses identify new loci influencing intraocular pressure.” Human Molecular Genetics 27(12):2205-2213 (2018)
Allele C
OR 0.08
p 5.0e-9
N 115,486
Large GWAS
European
BMI-adjusted waist circumference
Graff M et al. “Genome-wide physical activity interactions in adiposity - A meta-analysis of 200,452 adults.” Plos Genetics 13(4):e1006528 (2017)
Allele C
OR 0.04
p 4.0e-11
N 122,328
Meta-analysisLarge GWAS
multi-ancestry
▶Research that mentions this SNP (1)
▶Associations of polymorphisms in the genes of FGFR2, FGF1, and RBFOX2 with breast cancer risk by estrogen/progesterone receptor statusAssociationN=2,416Yu‐Ling Cen et al.(2013)· Molecular Carcinogenesis
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
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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