rs41271299
▶GWAS Catalog Trait Associations (13)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
GWAS Catalog Trait Associations (13)
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 T
OR 0.08
p 1.0e-261
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 0.13
p 3.0e-193
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 0.22
p 9.0e-57
N 607,511
Major Consortium StudyLarge GWAS
multi-ancestry
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 0.09
p 1.0e-139
N 525,444
Large GWAS
multi-ancestry
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 0.09
p 3.0e-194
N 405,540
Large GWAS
European
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 0.13
p 4.0e-17
N 57,129
Large GWAS
European
body height, body weights and measures
Galván-Femenía I et al. “Multitrait genome association analysis identifies new susceptibility genes for human anthropometric variation in the GCAT cohort.” Journal of Medical Genetics 55(11):765-778 (2018)
Allele T
OR 0.09
p 1.0e-129
N 4,988
Large GWAS
European
health trait
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 1.0e-75
N 405,979
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 0.04
p 1.0e-47
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 0.06
p 3.0e-47
N 450,243
Major Consortium StudyLarge GWAS
European
BMI-adjusted hip circumference
Christakoudi S et al. “GWAS of allometric body-shape indices in UK Biobank identifies loci suggesting associations with morphogenesis, organogenesis, adrenal cell renewal and cancer.” Scientific Reports 11(1):10688 (2021)
Allele T
OR 0.08
p 2.0e-39
N 219,872
Major Consortium StudyLarge GWAS
European
lean body mass
Harris BHL et al. “New role of fat-free mass in cancer risk linked with genetic predisposition.” Scientific Reports 14(1):7270 (2024)
Allele T
OR 0.04
p 1.0e-35
N 337,739
Large GWAS
European
body weight
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 0.04
p 5.0e-33
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 0.06
p 2.0e-31
N 928,679
Large GWAS
multi-ancestry
fat pad 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 0.04
p 2.0e-18
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 0.04
p 1.0e-17
N 394,642
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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