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

Luciano, Michelle, Huffman, Jennifer E., Arias-Vasquez, 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., Martin, Nicholas G., Rujescu, Dan, Wilson, James F., Buitelaar, Jan, Pendleton, Neil, Rudan, Igor and Deary, Ian J. (2012) Genome-wide association uncovers shared genetic effects among personality traits and mood states. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 159B 6: 684-695. doi:10.1002/ajmg.b.32072


Author Luciano, Michelle
Huffman, Jennifer E.
Arias-Vasquez, 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.
Martin, Nicholas G.
Rujescu, Dan
Wilson, James F.
Buitelaar, Jan
Pendleton, Neil
Rudan, Igor
Deary, Ian J.
Title Genome-wide association uncovers shared genetic effects among personality traits and mood states
Journal name American Journal of Medical Genetics Part B: Neuropsychiatric Genetics   Check publisher's open access policy
ISSN 1552-4841
1552-485X
Publication date 2012-09-01
Year available 2012
Sub-type Article (original research)
DOI 10.1002/ajmg.b.32072
Open Access Status Not yet assessed
Volume 159B
Issue 6
Start page 684
End page 695
Total pages 12
Place of publication Hoboken, NJ, United States
Publisher John Wiley & Sons
Language eng
Abstract Measures of personality and psychological distress are correlated and exhibit genetic covariance. We conducted univariate genome-wide SNP (similar to 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 x 10(-8)) of rs1079196 in the FHIT gene was observed with symptoms of anxiety. Other notable associations (P < 6.09 x 10(-6)) included SNPs in five genes for neuroticism (LCE3C, POLR3A, LMAN1L, ULK3, SCAMP2), KIAA0802 for extraversion, and NOS1 for general psychological distress. An association between symptoms of depression and rs7582472 (near to MGAT5 and NCKAP5) was replicated in two independent samples, but other replication findings were less consistent. Gene-based tests identified a significant locus on chromosome 15 (spanning five genes) associated with neuroticism which replicated (P < 0.05) in an independent cohort. Support for common genetic effects among personality and mood (particularly neuroticism and depressive symptoms) was found in terms of SNP association overlap and polygenic score prediction. The variance explained by individual SNPs was very small (up to 1%) confirming that there are no moderate/large effects of common SNPs on personality and related traits. (C) 2012 Wiley Periodicals, Inc.
Formatted 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<6.09×10-6) included SNPs in five genes for neuroticism (LCE3C, POLR3A, LMAN1L, ULK3, SCAMP2), KIAA0802 for extraversion, and NOS1 for general psychological distress. An association between symptoms of depression and rs7582472 (near to MGAT5 and NCKAP5) was replicated in two independent samples, but other replication findings were less consistent. Gene-based tests identified a significant locus on chromosome 15 (spanning five genes) associated with neuroticism which replicated (P<0.05) in an independent cohort. Support for common genetic effects among personality and mood (particularly neuroticism and depressive symptoms) was found in terms of SNP association overlap and polygenic score prediction. The variance explained by individual SNPs was very small (up to 1%) confirming that there are no moderate/large effects of common SNPs on personality and related traits.
Keyword Anxiety
Depression
Extraversion
GWAS
Neuroticism
Q-Index Code C1
Q-Index Status Provisional Code
Grant ID BB/F019394/1
251
389892
FT0991022
904-61-090
ERC-230374
EU/WLRT-2001-01254
56-464-1419
916-76-125
108-1080315-0302
10-000-1002
480-05-003
NWO-SPI 56-464-1419
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: Institute for Molecular Bioscience - Publications
 
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