RT Journal Article
SR Electronic
T1 Multivariate Genome-wide and integrated transcriptome and epigenome-wide analyses of the Well-being spectrum
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 115915
DO 10.1101/115915
A1 B.M.L. Baselmans
A1 R. Jansen
A1 H.F. Ip
A1 J. van Dongen
A1 A. Abdellaoui
A1 M. P. van de Weijer
A1 Y. Bao
A1 M. Smart
A1 M. Kumari
A1 G. Willemsen
A1 J.J. Hottenga
A1 BIOS consortium
A1 Social Science Genetic Association Consortium
A1 E.J.C. de Geus
A1 D.I. Boomsma
A1 M.G. Nivard
A1 M. Bartels
YR 2017
UL http://biorxiv.org/content/early/2017/05/19/115915.abstract
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.