rs61754230
▶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
Huang J et al. “Genomics and phenomics of body mass index reveals a complex disease network.” Nature Communications 13(1):7973 (2022)
Allele C
OR 0.04
p 9.0e-19
N 1,122,049
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 C
OR 0.06
p 1.0e-10
N 928,679
Large GWAS
multi-ancestry
Pulit SL et al. “Meta-analysis of genome-wide association studies for body fat distribution in 694 649 individuals of European ancestry.” Human Molecular Genetics 28(1):166-174 (2019)
Allele C
OR 0.05
p 1.0e-10
N 806,834
Meta-analysisLarge GWAS
European
Koskeridis F et al. “Pleiotropic genetic architecture and novel loci for C-reactive protein levels.” Nature Communications 13(1):6939 (2022)
Allele C
OR 0.05
p 4.0e-10
N 694,649
Large GWAS
European
Turcot V et al. “Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity.” Nature Genetics 50(1):26-41 (2018)
Allele C
OR 0.04
p 1.0e-9
N 526,508
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 C
OR 0.04
p 7.0e-10
N 441,761
Large GWAS
European
aspartate aminotransferase measurement
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 0.07
p 4.0e-17
N 928,679
Large 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 0.05
p 1.0e-10
N 493,058
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 0.05
p 3.0e-14
N 394,642
Large GWAS
European
Sinnott-Armstrong N et al. “Genetics of 35 blood and urine biomarkers in the UK Biobank.” Nature Genetics 53(2):185-194 (2021)
Allele T
OR 0.06
p 4.0e-11
N 354,541
Major Consortium StudyLarge GWAS
multi-ancestry
low density lipoprotein cholesterol measurement
Graham SE et al. “The power of genetic diversity in genome-wide association studies of lipids.” Nature 600(7890):675-679 (2021)
Allele T
OR 0.05
p 1.0e-13
N 1,320,016
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 1.0e-10
N 928,679
Large GWAS
multi-ancestry
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 0.04
p 1.0e-8
N 440,546
Large GWAS
European
Sinnott-Armstrong N et al. “Genetics of 35 blood and urine biomarkers in the UK Biobank.” Nature Genetics 53(2):185-194 (2021)
Allele T
OR 0.06
p 2.0e-13
N 355,197
Major Consortium StudyLarge GWAS
multi-ancestry
Liu DJ et al. “Exome-wide association study of plasma lipids in >300,000 individuals.” Nature Genetics 49(12):1758-1766 (2017)
Allele T
OR 0.05
p 4.0e-12
N 297,824
Large GWAS
multi-ancestry
non-high density lipoprotein cholesterol measurement
Graham SE et al. “The power of genetic diversity in genome-wide association studies of lipids.” Nature 600(7890):675-679 (2021)
Allele T
OR 0.06
p 7.0e-13
N 1,320,016
Large GWAS
European
apolipoprotein B measurement
Sinnott-Armstrong N et al. “Genetics of 35 blood and urine biomarkers in the UK Biobank.” Nature Genetics 53(2):185-194 (2021)
Allele T
OR 0.06
p 1.0e-12
N 354,097
Major Consortium StudyLarge GWAS
multi-ancestry
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 0.04
p 1.0e-8
N 439,214
Large GWAS
European
total cholesterol measurement
Graham SE et al. “The power of genetic diversity in genome-wide association studies of lipids.” Nature 600(7890):675-679 (2021)
Allele T
OR 0.05
p 1.0e-12
N 1,320,016
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 0.05
p 3.0e-9
N 928,679
Large GWAS
multi-ancestry
Sinnott-Armstrong N et al. “Genetics of 35 blood and urine biomarkers in the UK Biobank.” Nature Genetics 53(2):185-194 (2021)
Allele T
OR 0.06
p 2.0e-12
N 355,858
Major Consortium StudyLarge GWAS
multi-ancestry
body weight
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 0.05
p 2.0e-9
N 928,679
Large GWAS
multi-ancestry
body height
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 C
OR 0.03
p 3.0e-8
N 453,169
Large GWAS
European
intelligence
Davies G et al. “Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function.” Nature Communications 9(1):2098 (2018)
Allele T
OR 5.46
p 5.0e-8
N 300,486
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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