rs1064213

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GWAS Catalog Trait Associations (8)

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

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 A

OR 1.05

p 4.0e-31

N 449,734

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 0.01

p 1.0e-23

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 0.01

p 4.0e-18

N 928,679

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 0.01

p 2.0e-13

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 0.01

p 6.0e-14

N 394,642

Large GWAS

European

insomnia

Watanabe K et al. “Genome-wide meta-analysis of insomnia prioritizes genes associated with metabolic and psychiatric pathways.” Nature Genetics 54(8):1125-1132 (2022)

Allele A

OR 0.01

p 3.0e-16

N 2,365,010

Meta-analysisLarge 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 A

OR 0.01

p 1.0e-14

N 394,642

Large GWAS

European

body weight

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 0.01

p 2.0e-13

N 525,535

Large GWAS

multi-ancestry

Allele A

OR 0.01

p 1.0e-10

N 928,679

Large GWAS

multi-ancestry

allergic disease

Ferreira MA et al. “Shared genetic origin of asthma, hay fever and eczema elucidates allergic disease biology.” Nature Genetics 49(12):1752-1757 (2017)

Allele G

OR 1.03

p 5.0e-12

N 360,838

Large 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 4.0e-11

N 337,739

Large GWAS

European

insomnia measurement

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 1.04

p 6.0e-10

N 1,331,010

Large GWAS

European

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Research that mentions this SNP (1)

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A meta-analysis of two genome-wide association studies to identify novel loci for maximum number of alcoholic drinks

Meta-analysisN=4,915Manav Kapoor et al.(2013)· Human Genetics

A meta-analysis of two genome-wide association studies (COGA and SAGE) identifying genetic variants associated with maximum number of alcoholic drinks consumed in 24 hours (maxdrinks). The study combined 4,915 participants of European descent and found suggestive associations with multiple loci including rs1229984 (ADH1B, p=2.04×10⁻⁸), rs4758317 (LMO1, p=7.2×10⁻⁷), and variants in PLCL1 (p=4.07×10⁻⁶). Approximately 40% of the variance in maxdrinks was explained by genome-wide SNPs.

Traits studied:Alcohol dependenceExcessive alcohol consumptionMaximum number of alcoholic drinks in 24-hour period

PubMed DOI Metascience Observatory

This variant is in our database but has no known associations or PRS memberships yet.

rs1064213

GWAS Catalog Trait Associations (8)

chronotype measurement

body mass index

insomnia

whole body water mass

body weight

allergic disease

lean body mass

insomnia measurement

Research that mentions this SNP (1)

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