Multivariate genome-wide and integrated transcriptome and epigenome-wide analyses of the well-being spectrum

Publication type

Journal Article

Published in

bioRxiv

Authors

Bart M. L. Baselmans, Rick Jansen, Hill Fung Ip, Jenny van Dongen, Abdel Abdellaoui, Margot P. van de Weijer, Yanchun Bao, Melissa Smart, Meena Kumari, Gonneke Willemsen, Jouke J. Hottenga, Eco J. C de Geus, Dorret I. Boomsma, Michel G. Nivard and Meike Bartels

Publication date

Summary

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.

DOI

https://doi.org/10.1101/115915

ISSN

16

Subjects

Psychology, Medicine, Science And Technology, Well Being, Health, Biology and Genetics

Notes

Open Access; The copyright holder for this preprint is the author/funder. It is made available under a CC-BY-NC-ND 4.0 International license.

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