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Research data supporting: Genome–wide association study for risk taking propensity indicates shared pathways with body mass index

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DataCite Commons2024-12-17 更新2024-08-25 收录
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Here, we provide the summary statistics for our GWAS of self-reported risk-taking propensity amongst 436,236 white European participants of the UK Biobank (UKB) study, measured by the question: “Would you describe yourself as someone who takes risks?”. GWAS testing for associations between SNPs and self-reported risk-taking was performed using a linear mixed model (LMM) implemented in BOLT-LMM. Sex, age and genotyping array were included as covariates. SNPs were filtered based on info >0.5 and minor allele frequency >1%.

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2018-05-25
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