Refining genome-wide linkage intervals using a meta-analysis of genome-wide association studies identifies loci influencing personality dimensions. (Articolo in rivista)

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  • Refining genome-wide linkage intervals using a meta-analysis of genome-wide association studies identifies loci influencing personality dimensions. (Articolo in rivista) (literal)
Anno
  • 2012-01-01T00:00:00+01:00 (literal)
Alternative label
  • Amin N, Hottenga JJ, Hansell NK, Janssens AC, de Moor MH, Madden PA, Zorkoltseva IV, Penninx BW, Terracciano A, Uda M, Tanaka T, Esko T, Realo A, Ferrucci L, Luciano M, Davies G, Metspalu A, Abecasis GR, Deary IJ, Raikkonen K, Bierut LJ, Costa PT, Saviouk V, Zhu G, Kirichenko AV, Isaacs A, Aulchenko YS, Willemsen G, Heath AC, Pergadia ML, Medland SE, Axenovich TI, de Geus E, Montgomery GW, Wright MJ, Oostra BA, Martin NG, Boomsma DI, van Duijn CM (2012)
    Refining genome-wide linkage intervals using a meta-analysis of genome-wide association studies identifies loci influencing personality dimensions.
    in European journal of human genetics (Online)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Amin N, Hottenga JJ, Hansell NK, Janssens AC, de Moor MH, Madden PA, Zorkoltseva IV, Penninx BW, Terracciano A, Uda M, Tanaka T, Esko T, Realo A, Ferrucci L, Luciano M, Davies G, Metspalu A, Abecasis GR, Deary IJ, Raikkonen K, Bierut LJ, Costa PT, Saviouk V, Zhu G, Kirichenko AV, Isaacs A, Aulchenko YS, Willemsen G, Heath AC, Pergadia ML, Medland SE, Axenovich TI, de Geus E, Montgomery GW, Wright MJ, Oostra BA, Martin NG, Boomsma DI, van Duijn CM (literal)
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Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • 1Unit of Genetic Epidemiology, Department of Epidemiology and Biostatistics, Erasmus University Medical Center, Rotterdam, The Netherlands 2Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands 3Queensland Institute of Medical Research, Brisbane, QLD, Australia 4Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands 5Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA 6Institute of Cytology and Genetics, Russian Academy of Science, Novosibirsk, Russia 7Department of Psychiatry, University Medical Center Groningen, Groningen, The Netherlands 8Departments of Clinical Psychology and Psychiatry, Leiden University, Leiden, The Netherlands 9Department of Psychiatry, EMGO+ Institute, Neuroscience Campus Amsterdam, VU University Medical Center Amsterdam, Amsterdam, The Netherlands 10National Institute on Aging, NIH, Baltimore, MD, USA 11Istituto di Neurogenetica e Neurofarmacologia, CNR, Monserrato, Cagliari, Italy 12Estonian Genome Project, University of Tartu and Estonian Biocentre, Tartu, Estonia 13Department of Psychology, Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK 14Department of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA 15Department of Psychology, University of Helsinki, Helsinki, Finland 16Department of Clinical Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands 17Centre of Medical Systems Biology, Leiden, Netherlands Consortium on Health Aging and National Genomics Initiative, the Hague, The Netherlands (literal)
Titolo
  • Refining genome-wide linkage intervals using a meta-analysis of genome-wide association studies identifies loci influencing personality dimensions. (literal)
Abstract
  • Personality traits are complex phenotypes related to psychosomatic health. Individually, various gene finding methods have not achieved much success in finding genetic variants associated with personality traits. We performed a meta-analysis of four genome-wide linkage scans (N=6149 subjects) of five basic personality traits assessed with the NEO Five-Factor Inventory. We compared the significant regions from the meta-analysis of linkage scans with the results of a meta-analysis of genome-wide association studies (GWAS) (N~17 000). We found significant evidence of linkage of neuroticism to chromosome 3p14 (rs1490265, LOD=4.67) and to chromosome 19q13 (rs628604, LOD=3.55); of extraversion to 14q32 (ATGG002, LOD=3.3); and of agreeableness to 3p25 (rs709160, LOD=3.67) and to two adjacent regions on chromosome 15, including 15q13 (rs970408, LOD=4.07) and 15q14 (rs1055356, LOD=3.52) in the individual scans. In the meta-analysis, we found strong evidence of linkage of extraversion to 4q34, 9q34, 10q24 and 11q22, openness to 2p25, 3q26, 9p21, 11q24, 15q26 and 19q13 and agreeableness to 4q34 and 19p13. Significant evidence of association in the GWAS was detected between openness and rs677035 at 11q24 (P-value=2.6 × 10-06, KCNJ1). The findings of our linkage meta-analysis and those of the GWAS suggest that 11q24 is a susceptible locus for openness, with KCNJ1 as the possible candidate gene. (literal)
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