Meta-analysis of genome-wide association studies for personality

de Moor, M. H. M., Costa, P. T., Terracciano, A., Krueger, R. F., de Geus, E. J. C., Toshiko, T., Penninx, B. W. J. H., Esko, T., Madden, P. A. F., Derringer, J., Amin, N., Willemsen, G., Hottenga, J.-J., Distel, M. A., Uda, M., Sanna, S., Spinhoven, P., Hartman, C. A., Sullivan, P., Realo, A., Allik, J., Heath, A. C., Pergadia, M. L., Agrawal, A., Lin, P., Grucza, R., Nutile, T., Ciullo, M., Rujescu, D., Giegling, I., Konte, B., Widen, E., Cousminer, D. L., Eriksson, J. G., Palotie, A., Peltonen, L., Luciano, M., Tenesa, A., Davies, G., Lopez, L. M., Hansell, N. K., Medland, S. E., Ferrucci, L., Schlessinger, D., Montgomery, G. W., Wright, M. J., Aulchenko, Y. S., Janssens, A. C. J. W., Oostra, B. A., Metspalu, A., Abecasis, G. R., Deary, I. J., Raikkonen, K., Bierut, L. J., Martin, N. G., van Duijn, C. M. and Boomsma, D. I. (2012) Meta-analysis of genome-wide association studies for personality. Molecular Psychiatry, 17 3: 337-349. doi:10.1038/mp.2010.128

Author de Moor, M. H. M.
Costa, P. T.
Terracciano, A.
Krueger, R. F.
de Geus, E. J. C.
Toshiko, T.
Penninx, B. W. J. H.
Esko, T.
Madden, P. A. F.
Derringer, J.
Amin, N.
Willemsen, G.
Hottenga, J.-J.
Distel, M. A.
Uda, M.
Sanna, S.
Spinhoven, P.
Hartman, C. A.
Sullivan, P.
Realo, A.
Allik, J.
Heath, A. C.
Pergadia, M. L.
Agrawal, A.
Lin, P.
Grucza, R.
Nutile, T.
Ciullo, M.
Rujescu, D.
Giegling, I.
Konte, B.
Widen, E.
Cousminer, D. L.
Eriksson, J. G.
Palotie, A.
Peltonen, L.
Luciano, M.
Tenesa, A.
Davies, G.
Lopez, L. M.
Hansell, N. K.
Medland, S. E.
Ferrucci, L.
Schlessinger, D.
Montgomery, G. W.
Wright, M. J.
Aulchenko, Y. S.
Janssens, A. C. J. W.
Oostra, B. A.
Metspalu, A.
Abecasis, G. R.
Deary, I. J.
Raikkonen, K.
Bierut, L. J.
Martin, N. G.
van Duijn, C. M.
Boomsma, D. I.
Title Meta-analysis of genome-wide association studies for personality
Journal name Molecular Psychiatry   Check publisher's open access policy
ISSN 1359-4184
Publication date 2012
Sub-type Article (original research)
DOI 10.1038/mp.2010.128
Open Access Status Not yet assessed
Volume 17
Issue 3
Start page 337
End page 349
Total pages 13
Place of publication London, United Kingdom
Publisher Nature Publishing Group
Language eng
Formatted abstract
Personality can be thought of as a set of characteristics that influence people's thoughts, feelings and behavior across a variety of settings. Variation in personality is predictive of many outcomes in life, including mental health. Here we report on a meta-analysis of genome-wide association (GWA) data for personality in 10 discovery samples (17 375 adults) and five in silico replication samples (3294 adults). All participants were of European ancestry. Personality scores for Neuroticism, Extraversion, Openness to Experience, Agreeableness and Conscientiousness were based on the NEO Five-Factor Inventory. Genotype data of ∼2.4M single-nucleotide polymorphisms (SNPs; directly typed and imputed using HapMap data) were available. In the discovery samples, classical association analyses were performed under an additive model followed by meta-analysis using the weighted inverse variance method. Results showed genome-wide significance for Openness to Experience near the RASA1 gene on 5q14.3 (rs1477268 and rs2032794, P2.8 × 10 -8 and 3.1 × 10 -8) and for Conscientiousness in the brain-expressed KATNAL2 gene on 18q21.1 (rs2576037, P4.9 × 10 -8). We further conducted a gene-based test that confirmed the association of KATNAL2 to Conscientiousness. In silico replication did not, however, show significant associations of the top SNPs with Openness and Conscientiousness, although the direction of effect of the KATNAL2 SNP on Conscientiousness was consistent in all replication samples. Larger scale GWA studies and alternative approaches are required for confirmation of KATNAL2 as a novel gene affecting Conscientiousness.
Keyword Personality
Five-Factor Model
Genetic variants
Genome-wide association
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: Queensland Brain Institute Publications
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 67 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 88 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Tue, 09 Feb 2016, 11:36:18 EST by System User on behalf of Queensland Brain Institute