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Meta-Analysis of Genome-Wide Association Studies for Personality

Title: Meta-Analysis of Genome-Wide Association Studies for Personality.
Name(s): de Moor, Marleen, author
Costa, Paul, author
Terracciano, Antonio, author
Krueger, Robert F., author
de Geus, Eco, author
Toshiko, Tanaka, author
Penninx, Brenda, author
Esko, Tönu, author
Madden, P., author
Derringer, Jaime, author
Amin, Najaf, author
Willemsen, Gonneke, author
Hottenga, Jouke-Jan, author
Distel, M., author
Uda, Manuela, author
Sanna, Serena, author
Spinhoven, Philip, author
Hartman, Catherina, author
Sullivan, P., author
Realo, Anu, author
Allik, Jüri, author
Heath, Andrew, author
Pergadia, M., author
Agrawal, Arpana, author
Lin, P., author
Grucza, Richard, author
Nutile, Teresa, author
Ciullo, Marina, author
Rujescu, Dan, author
Giegling, Ina, author
Konte, Bettina, author
Widen, Elisabeth, author
Cousminer, D., author
Eriksson, Johan, author
Palotie, Aarno, author
Peltonen, L., author
Luciano, Michelle, author
Tenesa, A., author
Davies, Gail, author
Lopez, Lorna, author
Hansell, Narelle, author
Medland, Sarah, author
Ferrucci, Luigi, author
Schlessinger, David, author
Montgomery, G., author
Wright, Margeret, author
Aulchenko, Y., author
Janssens, A., author
Oostra, Ben A., 1946-, author
Metspalu, Andres, author
Abecasis, Gonçalo, author
Deary, Ian J., author
Räikkönen, K., author
Bierut, Laura, author
Martin, Nicholas G., author
van Duijn, Cornelia, author
Boomsma, Dorret, author
Type of Resource: text
Genre: Text
Issuance: serial
Date Issued: 2012
Physical Form: computer
online resource
Extent: 1 online resource
Language(s): English
Abstract/Description: 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, P=2.8 × 10(-8) and 3.1 × 10(-8)) and for Conscientiousness in the brain-expressed KATNAL2 gene on 18q21.1 (rs2576037, P=4.9 × 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.
Identifier: FSU_migr_geriatrics_faculty_publications-0010 (IID), 10.1038/mp.2010.128 (DOI)
Keywords: personality, Five-Factor Model, genome-wide association, meta-analysis, genetic variants
Uncontrolled subjects: Adenosine Triphosphatases, Adult, Aged, Australia, Chromosomes, Human, Computer Simulation, Europe, European Continental Ancestry Group, Exploratory Behavior, Female, Genome-Wide Association Study, Genotype, Humans, Male, Middle Aged, Models, Psychological, Personality, Personality Inventory, Phenotype, Polymorphism, Single Nucleotide, Sampling Studies, United States
Note: Originally published in Molecular Psychiatry.
Citation: de Moor MH, Costa PT, Terracciano A, Krueger RF, de Geus EJ, Toshiko T, Penninx BW, Esko T, Madden PA, Derringer J, Amin N, Willemsen G, Hottenga JJ, Distel MA, Uda M, Sanna S, Spinhoven P, Hartman CA, Sullivan P, Realo A, Allik J, Heath AC, Pergadia ML, Agrawal A, Lin P, Grucza R, Nutile T, Ciullo M, Rujescu D, Giegling I, Konte B, Widen E, Cousminer DL, Eriksson JG, Palotie A, Peltonen L, Luciano M, Tenesa A, Davies G, Lopez LM, Hansell NK, Medland SE, Ferrucci L, Schlessinger D, Montgomery GW, Wright MJ, Aulchenko YS, Janssens AC, Oostra BA, Metspalu A, Abecasis GR, Deary IJ, Räikkönen K, Bierut LJ, Martin NG, van Duijn CM, & Boomsma DI (2012). Meta-analysis of genome-wide association studies for personality. Molecular Psychiatry, 17, 337-49.
Subject(s): Human behavior
Medical sciences
Social aspects
Persistent Link to This Record:
Owner Institution: FSU
Is Part of Series: Department of Geriatrics Faculty Publications.
Is Part Of: Molecular Psychiatry.
Issue: 3, 17

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De Moor, M., Costa, P., Terracciano, A., Krueger, R. F., De Geus, E., Toshiko, T., … Boomsma, D. (2012). Meta-Analysis of Genome-Wide Association Studies for Personality. Molecular Psychiatry. Retrieved from