rs9471333
▶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 mass index
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 2.0e-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 0.02
p 1.0e-28
N 928,679
Large GWAS
multi-ancestry
Koskeridis F et al. “Pleiotropic genetic architecture and novel loci for C-reactive protein levels.” Nature Communications 13(1):6939 (2022)
Allele T
OR 0.02
p 7.0e-28
N 694,649
Large GWAS
European
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 0.02
p 3.0e-31
N 441,761
Large GWAS
European
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 0.02
p 2.0e-19
N 342,566
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 0.02
p 9.0e-29
N 394,642
Large GWAS
European
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 0.02
p 2.0e-26
N 394,642
Large GWAS
European
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 0.02
p 1.0e-17
N 337,196
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 2.0e-23
N 394,642
Large GWAS
European
visceral adipose tissue quantity
Karlsson T et al. “Contribution of genetics to visceral adiposity and its relation to cardiovascular and metabolic disease.” Nature Medicine 25(9):1390-1395 (2019)
Allele C
OR 0.02
p 1.0e-22
N 325,153
Large GWAS
European
aspartate aminotransferase measurement, low density lipoprotein triglyceride measurement, serum alanine aminotransferase amount, body fat percentage, high density lipoprotein cholesterol measurement, sex hormone-binding globulin measurement
Martin S et al. “Genetic Evidence for Different Adiposity Phenotypes and Their Opposing Influences on Ectopic Fat and Risk of Cardiometabolic Disease.” Diabetes 70(8):1843-1856 (2021)
Allele C
OR —
p 2.0e-16
N 389,354
Large GWAS
European
educational attainment
Okbay A et al. “Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals.” Nature Genetics 54(4):437-449 (2022)
Allele T
OR 0.01
p 1.0e-12
N 3,037,499
Large GWAS
European
self reported educational attainment
Schoeler T et al. “Participation bias in the UK Biobank distorts genetic associations and downstream analyses.” Nature Human Behaviour 7(7):1216-1227 (2023)
Allele C
OR 0.02
p 5.0e-8
N 283,749
Major Consortium StudyLarge GWAS
European
body fat percentage
Martin S et al. “Genetic Evidence for Different Adiposity Phenotypes and Their Opposing Influences on Ectopic Fat and Risk of Cardiometabolic Disease.” Diabetes 70(8):1843-1856 (2021)
Allele T
OR —
β 0.014
p 7.0e-22
N 442,278
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 0.01
p 8.0e-25
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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