Dataset for a Multivariate Genome-Wide Association Study of Psycho-Cardiometabolic Multimorbidity

  • Vilte Baltramonaityte (Creator)
  • Jean-Baptiste Pingault (Creator)
  • Charlotte A.M. Cecil (Creator)
  • Priyanka Choudhary (Creator)
  • Marjo-Riitta Järvelin (Creator)
  • Brenda W.J.H. Penninx (Creator)
  • Janine F Felix (Creator)
  • Sylvain Sebert (Creator)
  • Yuri Milaneschi (Creator)
  • Esther Walton (Creator)



This dataset contains summary statistics from a multivariate genome-wide association study of major depression, coronary artery disease, and type 2 diabetes (i.e., psycho-cardiometabolic multimorbidity).

There are two sets of summary statistics: version with UK Biobank (effective sample size = 562,507) and version without UK Biobank (effective sample size = 156,717). Summary statistics for non-heterogeneous variants are also provided (obtained by removing variants with Q SNP P < 5e-8 and directionally discordant univariate effect estimates).

For a given single nucleotide polymorphism (SNP), the summary statistics include the chromosome; position; minor allele frequency; effect allele; non-effect allele; effect of the SNP on the common factor; standard error; ratio of effect/SE; p-value of Z_Estimate; chi-square statistic, providing the heterogeneity estimate for that SNP (equivalent to the Q SNP index); chi-square degrees of freedom; chi-square p-value; whether effect estimates from three input genome-wide association studies were directionally concordant.
Date made available30 Jun 2023
PublisherUniversity of Bath

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