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Genome-wide association uncovers shared genetic effects among personality traits and mood states |
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| Authors: | Luciano Michelle Huffman Jennifer E Arias-Vásquez Alejandro Vinkhuyzen Anna A E Middeldorp Christel M Giegling Ina Payton Antony Davies Gail Zgaga Lina Janzing Joost Ke Xiayi Galesloot Tessel Hartmann Annette M Ollier William Tenesa Albert Hayward Caroline Verhagen Maaike Montgomery Grant W Hottenga Jouke-Jan Konte Bettina Starr John M Vitart Veronique Vos Pieter E Madden Pamela A F Willemsen Gonneke Konnerth Heike Horan Michael A Porteous David J Campbell Harry Vermeulen Sita H Heath Andrew C Wright Alan Polasek Ozren Kovacevic Sanja B Hastie Nicholas D Franke Barbara Boomsma Dorret I |
| Affiliation: | Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Department of Psychology, University of Edinburgh, Edinburgh, UK. michelle.luciano@ed.ac.uk. |
| Abstract: | Measures of personality and psychological distress are correlated and exhibit genetic covariance. We conducted univariate genome-wide SNP (～2.5 million) and gene-based association analyses of these traits and examined the overlap in results across traits, including a prediction analysis of mood states using genetic polygenic scores for personality. Measures of neuroticism, extraversion, and symptoms of anxiety, depression, and general psychological distress were collected in eight European cohorts (n ranged 546-1,338; maximum total n?=?6,268) whose mean age ranged from 55 to 79 years. Meta-analysis of the cohort results was performed, with follow-up associations of the top SNPs and genes investigated in independent cohorts (n?=?527-6,032). Suggestive association (P?=?8?×?10(-8) ) of rs1079196 in the FHIT gene was observed with symptoms of anxiety. Other notable associations (P? |
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