PT - JOURNAL ARTICLE AU - B.M.L. Baselmans AU - R. Jansen AU - H.F. Ip AU - J. van Dongen AU - A. Abdellaoui AU - M. P. van de Weijer AU - Y. Bao AU - M. Smart AU - M. Kumari AU - G. Willemsen AU - J.J. Hottenga AU - BIOS consortium AU - Social Science Genetic Association Consortium AU - E.J.C. de Geus AU - D.I. Boomsma AU - M.G. Nivard AU - M. Bartels TI - Multivariate Genome-wide and integrated transcriptome and epigenome-wide analyses of the Well-being spectrum AID - 10.1101/115915 DP - 2017 Jan 01 TA - bioRxiv PG - 115915 4099 - http://biorxiv.org/content/early/2017/05/19/115915.short 4100 - http://biorxiv.org/content/early/2017/05/19/115915.full AB - Phenotypes related to well-being (life satisfaction, positive affect, neuroticism, and depressive symptoms), are genetically highly correlated (| rg | > .75). Multivariate genome-wide analyses (Nobs = 958,149) of these traits, collectively referred to as the well-being spectrum, reveals 63 significant independent signals, of which 29 were not previously identified. Transcriptome and epigenome analyses implicate variation in gene expression at 8 additional loci and CpG methylation at 6 additional loci in the etiology of well-being. We leverage an anatomically comprehensive survey of gene expression in the brain to annotate our findings, showing that SNPs within genes excessively expressed in the cortex and part of the hippocampal formation are enriched in their effect on well-being.