rs12140153

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GWAS Catalog Trait Associations (19)

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

daytime rest measurement

Dashti HS et al. “Genetic determinants of daytime napping and effects on cardiometabolic health.” Nature Communications 12(1):900 (2021)
Allele G
OR 0.02
p 7.0e-41
N 452,633
Large GWAS
European

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 G
OR 0.03
p 4.0e-36
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 G
OR 0.04
p 2.0e-20
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 G
OR 0.04
p 1.0e-25
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 G
OR 0.04
p 5.0e-24
N 694,649
Large GWAS
European
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 G
OR 0.05
p 1.0e-11
N 607,391
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 G
OR 0.03
p 6.0e-16
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 G
OR 0.03
p 3.0e-25
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 G
OR 0.03
p 2.0e-23
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 G
OR 0.04
p 7.0e-17
N 342,566
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 3.0e-22
N 394,642
Large GWAS
European

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 G
OR 0.02
p 4.0e-19
N 453,169
Large GWAS
European

chronotype measurement

Jones SE et al. “Genome-wide association analyses of chronotype in 697,828 individuals provides insights into circadian rhythms.” Nature Communications 10(1):343 (2019)
Allele G
OR 1.06
p 7.0e-19
N 403,195
Large GWAS
European
Jansen PR et al. “Genome-wide analysis of insomnia in 1,331,010 individuals identifies new risk loci and functional pathways.” Nature Genetics 51(3):394-403 (2019)
Allele G
OR 0.03
p 5.0e-12
N 434,835
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 0.03
p 2.0e-18
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 0.02
p 4.0e-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 0.03
p 8.0e-16
N 394,642
Large GWAS
European

type 2 diabetes mellitus

Suzuki K et al. “Genetic drivers of heterogeneity in type 2 diabetes pathophysiology.” Nature 627(8003):347-357 (2024)
Allele G
OR —
p 1.0e-13
N 2,535,601
Large GWAS
multi-ancestry
Vujkovic M et al. “Discovery of 318 new risk loci for type 2 diabetes and related vascular outcomes among 1.4 million participants in a multi-ancestry meta-analysis.” Nature Genetics 52(7):680-691 (2020)
Allele G
OR 0.05
p 5.0e-8
N 1,407,282
Meta-analysisLarge GWAS
multi-ancestry
Mahajan A et al. “Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps.” Nature Genetics 50(11):1505-1513 (2018)
Allele G
OR 1.07
p 1.0e-8
N 898,130
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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