rs4477562
▶GWAS Catalog Trait Associations (7)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
GWAS Catalog Trait Associations (7)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
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 T
OR 0.02
p 1.0e-20
N 394,642
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 T
OR 0.01
p 6.0e-19
N 394,642
Large GWAS
European
hip circumference
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 0.02
p 5.0e-18
N 394,642
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 T
OR 0.02
p 8.0e-13
N 394,642
Large GWAS
European
body fat percentage
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 0.02
p 4.0e-15
N 394,642
Large GWAS
European
body mass index
Sakaue S et al. “A cross-population atlas of genetic associations for 220 human phenotypes.” Nature Genetics 53(10):1415-1424 (2021)
Allele T
OR 0.03
p 3.0e-27
N 523,818
Large GWAS
multi-ancestry
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 0.03
p 2.0e-23
N 441,761
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 T
OR 0.02
p 6.0e-19
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 T
OR 0.03
p 2.0e-18
N 153,950
Large GWAS
East Asian
Downie CG et al. “Trans-ancestry genome-wide association study of childhood body mass index identifies novel loci and age-specific effects.” Hgg Advances 6(2):100411 (2025)
Allele T
OR 0.05
p 1.0e-10
N 84,840
Large GWAS
multi-ancestry
Tachmazidou I et al. “Whole-Genome Sequencing Coupled to Imputation Discovers Genetic Signals for Anthropometric Traits.” American Journal of Human Genetics 100(6):865-884 (2017)
Allele T
OR 0.05
p 3.0e-8
N 56,793
Large GWAS
European
Vogelezang S et al. “Novel loci for childhood body mass index and shared heritability with adult cardiometabolic traits.” Plos Genetics 16(10):e1008718 (2020)
Allele T
OR 0.08
p 8.0e-13
N 39,620
Large GWAS
European
body weight
Sakaue S et al. “A cross-population atlas of genetic associations for 220 human phenotypes.” Nature Genetics 53(10):1415-1424 (2021)
Allele T
OR 0.03
p 7.0e-32
N 525,535
Large 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 0.02
p 4.0e-23
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 T
OR 0.02
p 8.0e-10
N 153,950
Large GWAS
East Asian
Tachmazidou I et al. “Whole-Genome Sequencing Coupled to Imputation Discovers Genetic Signals for Anthropometric Traits.” American Journal of Human Genetics 100(6):865-884 (2017)
Allele T
OR 0.06
p 5.0e-9
N 57,043
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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