Unravelling the complex causal effects of substance use behaviours on common diseases

This dataset contains seven GWAS summary data sets for substance use behaviours generated in Xue et al. (2024). We conducted genome-wide association studies (GWAS) with ~7.3 million genetic variants in 208,988 ~ 454,648 individuals of European ancestry from the full cohort release v2 of the UK Biobank (UKB). Details of phenotypic definition, genotyping, quality control and association analysis can be found in the Methods section of Xue et al. (Communications Medicine, 2024). Here, we provide the GWAS results for ~7.3 million common SNPs (minor allele frequency >= 0.01) from the following seven analyses: Smoking Initiation (SI) Former Smoking (FS) Current Smoking (CS) Smoking Cessation (SC) Alcohol Consumption (AC) Tea Intake (TI) Coffee Intake (CI) For each SNP, we have provided the following information: CHR: Chromosome SNP: rsID BP: Base-pairs position (build 37) A1: minor allele A2: major allele freq: allele frequency of A1 N: sample size b: effect size of A1 se: standard error of b P: p-value Citation: Xue A, et al. Unravelling the complex causal effects of substance use behaviours on common diseases. Communications Medicine. 2024 (accepted). Please refer any queries to: Jian Yang ([e-mail]) or Angli Xue ([e-mail])