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Refining genome-wide linkage intervals using a meta-analysis of genome-wide association studies identifies loci influencing personality dimensions.

Publication ,  Journal Article
Amin, N; Hottenga, J-J; Hansell, NK; Janssens, ACJW; de Moor, MHM; Madden, PAF; Zorkoltseva, IV; Penninx, BW; Terracciano, A; Uda, M; Tanaka, T ...
Published in: European journal of human genetics : EJHG
August 2013

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.

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Published In

European journal of human genetics : EJHG

DOI

EISSN

1476-5438

ISSN

1018-4813

Publication Date

August 2013

Volume

21

Issue

8

Start / End Page

876 / 882

Related Subject Headings

  • Potassium Channels, Inwardly Rectifying
  • Polymorphism, Single Nucleotide
  • Phenotype
  • Personality Inventory
  • Personality
  • Lod Score
  • Humans
  • Genome-Wide Association Study
  • Genome, Human
  • Genetics & Heredity
 

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Amin, N., Hottenga, J.-J., Hansell, N. K., Janssens, A. C. J. W., de Moor, M. H. M., Madden, P. A. F., … van Duijn, C. M. (2013). Refining genome-wide linkage intervals using a meta-analysis of genome-wide association studies identifies loci influencing personality dimensions. European Journal of Human Genetics : EJHG, 21(8), 876–882. https://doi.org/10.1038/ejhg.2012.263
Amin, Najaf, Jouke-Jan Hottenga, Narelle K. Hansell, A Cecile J. W. Janssens, Marleen H. M. de Moor, Pamela A. F. Madden, Irina V. Zorkoltseva, et al. “Refining genome-wide linkage intervals using a meta-analysis of genome-wide association studies identifies loci influencing personality dimensions.European Journal of Human Genetics : EJHG 21, no. 8 (August 2013): 876–82. https://doi.org/10.1038/ejhg.2012.263.
Amin N, Hottenga J-J, Hansell NK, Janssens ACJW, de Moor MHM, Madden PAF, et al. Refining genome-wide linkage intervals using a meta-analysis of genome-wide association studies identifies loci influencing personality dimensions. European journal of human genetics : EJHG. 2013 Aug;21(8):876–82.
Amin, Najaf, et al. “Refining genome-wide linkage intervals using a meta-analysis of genome-wide association studies identifies loci influencing personality dimensions.European Journal of Human Genetics : EJHG, vol. 21, no. 8, Aug. 2013, pp. 876–82. Epmc, doi:10.1038/ejhg.2012.263.
Amin N, Hottenga J-J, Hansell NK, Janssens ACJW, de Moor MHM, Madden PAF, 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. Refining genome-wide linkage intervals using a meta-analysis of genome-wide association studies identifies loci influencing personality dimensions. European journal of human genetics : EJHG. 2013 Aug;21(8):876–882.

Published In

European journal of human genetics : EJHG

DOI

EISSN

1476-5438

ISSN

1018-4813

Publication Date

August 2013

Volume

21

Issue

8

Start / End Page

876 / 882

Related Subject Headings

  • Potassium Channels, Inwardly Rectifying
  • Polymorphism, Single Nucleotide
  • Phenotype
  • Personality Inventory
  • Personality
  • Lod Score
  • Humans
  • Genome-Wide Association Study
  • Genome, Human
  • Genetics & Heredity