Genome-wide association uncovers shared genetic effects among personality traits and mood states

Michelle Luciano, Jennifer E Huffman, Alejandro Arias-Vásquez, Anna A E Vinkhuyzen, Christel M Middeldorp, Ina Giegling, Antony Payton, Gail Davies, Lina Zgaga, Joost Janzing, Xiayi Ke, Tessel Galesloot, Annette M Hartmann, William Ollier, Albert Tenesa, Caroline Hayward, Maaike Verhagen, Grant W Montgomery, Jouke-Jan Hottenga, Bettina KonteJohn M Starr, Veronique Vitart, Pieter E Vos, Pamela A F Madden, Gonneke Willemsen, Heike Konnerth, Michael A Horan, David J Porteous, Harry Campbell, Sita H Vermeulen, Andrew C Heath, Alan Wright, Ozren Polasek, Sanja B Kovacevic, Nicholas D Hastie, Barbara Franke, Dorret I Boomsma, Nicholas G Martin, Dan Rujescu, James F Wilson, Jan Buitelaar, Neil Pendleton, Igor Rudan, Ian J Deary

Research output: Contribution to journalArticlepeer-review

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 
Original languageEnglish
Pages (from-to)684-695
JournalAmerican Journal of Medical Genetics Part B: Neuropsychiatric Genetics
Volume159B
Issue number6
Early online date26 May 2012
DOIs
Publication statusPublished - 1 Sep 2012

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