rs10832963
▶GWAS Catalog Trait Associations (26)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
GWAS Catalog Trait Associations (26)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
body height
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 0.02
p 1.0e-28
N 405,540
Large GWAS
European
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 0.03
p 2.0e-15
N 607,511
Major Consortium StudyLarge GWAS
multi-ancestry
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 1.0e-28
N 394,642
Large GWAS
European
appendicular lean mass
Pei YF et al. “The genetic architecture of appendicular lean mass characterized by association analysis in the UK Biobank study.” Communications Biology 3(1):608 (2020)
Allele T
OR 0.02
p 9.0e-21
N 450,243
Major Consortium StudyLarge GWAS
European
apolipoprotein B measurement
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 0.02
p 3.0e-20
N 439,214
Large GWAS
European
whole body water mass
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 0.01
p 9.0e-16
N 394,642
Large GWAS
European
total cholesterol measurement
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-15
N 394,642
Large GWAS
European
Zoodsma M et al. “A genetic map of human metabolism across the allele frequency spectrum.” Nature Genetics 57(10):2445-2455 (2025)
Allele G
OR 0.02
p 1.0e-11
N 450,015
Large GWAS
multi-ancestry
polyunsaturated fatty acid measurement
Zoodsma M et al. “A genetic map of human metabolism across the allele frequency spectrum.” Nature Genetics 57(10):2445-2455 (2025)
Allele G
OR 0.02
p 1.0e-14
N 450,015
Large GWAS
multi-ancestry
Karjalainen MK et al. “Genome-wide characterization of circulating metabolic biomarkers.” Nature 628(8006):130-138 (2024)
Allele G
OR 0.03
p 6.0e-10
N 136,016
Large GWAS
multi-ancestry
level of phosphatidylcholine
Zoodsma M et al. “A genetic map of human metabolism across the allele frequency spectrum.” Nature Genetics 57(10):2445-2455 (2025)
Allele G
OR 0.02
p 3.0e-14
N 450,015
Large GWAS
multi-ancestry
base metabolic rate measurement
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 0.01
p 4.0e-14
N 394,642
Large GWAS
European
phosphoglycerides measurement
Zoodsma M et al. “A genetic map of human metabolism across the allele frequency spectrum.” Nature Genetics 57(10):2445-2455 (2025)
Allele G
OR 0.02
p 1.0e-13
N 450,015
Large GWAS
multi-ancestry
choline measurement
Zoodsma M et al. “A genetic map of human metabolism across the allele frequency spectrum.” Nature Genetics 57(10):2445-2455 (2025)
Allele G
OR 0.02
p 2.0e-13
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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