rs7619139

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GWAS Catalog Trait Associations (12)

Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.

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 A
OR 0.01
p 2.0e-30
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 A
OR 0.02
p 1.0e-23
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 A
OR 0.01
p 1.0e-16
N 394,642
Large GWAS
European

body mass index

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 A
OR 0.02
p 3.0e-26
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 A
OR 0.03
p 9.0e-24
N 607,391
Major Consortium StudyLarge 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 A
OR 0.01
p 8.0e-13
N 441,761
Large GWAS
European

blood urea nitrogen amount

Sakaue S et al. “A cross-population atlas of genetic associations for 220 human phenotypes.” Nature Genetics 53(10):1415-1424 (2021)
Allele A
OR 0.02
p 5.0e-25
N 492,819
Large GWAS
multi-ancestry

diet measurement

Cole JB et al. “Comprehensive genomic analysis of dietary habits in UK Biobank identifies hundreds of genetic associations.” Nature Communications 11(1):1467 (2020)
Allele T
OR 0.02
p 7.0e-22
N 443,633
Major Consortium StudyLarge GWAS
European
Merino J et al. “Genetic analysis of dietary intake identifies new loci and functional links with metabolic traits.” Nature Human Behaviour 6(1):155-163 (2022)
Allele T
OR —
p 6.0e-21
N 282,271
Large GWAS
European

energy intake

Merino J et al. “Genome-wide meta-analysis of macronutrient intake of 91,114 European ancestry participants from the cohorts for heart and aging research in genomic epidemiology consortium.” Molecular Psychiatry 24(12):1920-1932 (2019)
Allele T
OR 0.16
p 6.0e-20
N 91,114
Meta-analysisMajor 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 A
OR 0.01
p 5.0e-19
N 337,739
Large GWAS
European

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 A
OR 0.01
p 1.0e-18
N 394,642
Large GWAS
European

taste liking measurement

May-Wilson S et al. “Large-scale GWAS of food liking reveals genetic determinants and genetic correlations with distinct neurophysiological traits.” Nature Communications 13(1):2743 (2022)
Allele A
OR 0.08
p 1.0e-13
N 159,432
Large GWAS
European

carbohydrate intake measurement

Merino J et al. “Genetic analysis of dietary intake identifies new loci and functional links with metabolic traits.” Nature Human Behaviour 6(1):155-163 (2022)
Allele A
OR 0.17
p 2.0e-12
N 282,271
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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