rs7306710
▶GWAS Catalog Trait Associations (12)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
GWAS Catalog Trait Associations (12)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
body height
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 0.04
p 5.0e-278
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 C
OR 0.04
p 9.0e-237
N 405,540
Large GWAS
European
neutrophil count
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 0.02
p 6.0e-18
N 394,642
Large GWAS
European
heart morphology trait
Basty N et al. “Cardiovascular measures from abdominal MRI provide insights into abdominal vessel genetic architecture.” Communications Medicine 6(1):70 (2026)
Allele C
OR 0.06
p 3.0e-17
N 35,492
Large GWAS
European
systolic blood pressure
Koskeridis F et al. “Multi-trait association analysis reveals shared genetic loci between Alzheimer's disease and cardiovascular traits.” Nature Communications 15(1):9827 (2024)
Allele T
OR 0.01
p 4.0e-14
N 1,212,859
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 T
OR 0.01
p 2.0e-12
N 453,169
Large GWAS
European
insomnia
Watanabe K et al. “Genome-wide meta-analysis of insomnia prioritizes genes associated with metabolic and psychiatric pathways.” Nature Genetics 54(8):1125-1132 (2022)
Allele T
OR 0.01
p 2.0e-12
N 2,365,010
Meta-analysisLarge GWAS
European
peak expiratory flow
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 0.01
p 6.0e-12
N 394,642
Large GWAS
European
body mass index
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 T
OR 0.01
p 4.0e-11
N 441,761
Large GWAS
European
cholesteryl esters to total lipids in very large VLDL percentage
Zoodsma M et al. “A genetic map of human metabolism across the allele frequency spectrum.” Nature Genetics 57(10):2445-2455 (2025)
Allele C
OR 0.01
p 2.0e-10
N 450,015
Large GWAS
multi-ancestry
aging rate
Roberts V et al. “Genome-Wide Association Study Identifies Genetic Associations with Perceived Age.” The Journal of Investigative Dermatology 140(12):2380-2385 (2020)
Allele T
OR 0.98
p 2.0e-8
N 423,992
Large GWAS
European
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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