首页> 外文期刊>European journal of human genetics: EJHG >Refining genome-wide linkage intervals using a meta-analysis of genome-wide association studies identifies loci influencing personality dimensions
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Refining genome-wide linkage intervals using a meta-analysis of genome-wide association studies identifies loci influencing personality dimensions

机译:使用基因组 - 范围的结肠分析精制基因组宽的连杆间隔识别影响人格尺寸的基因座

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摘要

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.
机译:人格性状是与心身健康有关的复杂表型。单独地,各种基因发现方法在寻找与人格特征相关的遗传变异方面没有取得大量成功。我们进行了四种基因组联动扫描(n = 6149项)的荟萃分析,其五个基本人格特征评估了Neo五因素库存。我们将重要地区与联系扫描的荟萃分析进行了比较了与基因组 - 宽协会研究(GWAS)(N〜17 000)的荟萃分析结果。我们发现了染色体3P14(RS1490265,LOD = 4.67)和染色体19Q13(RS628604,LOD = 3.55)的显着证据外向倾向于14Q32(atgg002,LOD = 3.3);并且在3P25(RS709160,LOD = 3.67)和染色体15上的两个相邻地区,包括15Q13(RS970408,LOD = 4.07)和15Q14(RS1055356,LOD = 3.52)的两个相邻区域。在荟萃分析中,我们发现了强有力的证据表明,途径到4Q34,第9季度,第10季度,11Q22,2P25,3Q26,9P21,1194,15Q26和19Q13的联系,对4Q34和19P13的协商。在11Q24(P值= 2.6×10 -06,KCNJ1)之间,在开放和RS677035之间检测到GWA中关联的重要证据(P值= 2.6×10 -06。我们的联系Meta分析的结果和GWA的结果表明,11Q24是易感轨迹的开放性,KCNJ1作为可能的候选基因。

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  • 作者单位

    Unit of Genetic Epidemiology Department of Epidemiology and Biostatistics Erasmus University;

    Department of Biological Psychology VU University Amsterdam Amsterdam Netherlands;

    Queensland Institute of Medical Research Brisbane QLD Australia;

    Department of Epidemiology Erasmus University Medical Center Rotterdam Netherlands;

    Department of Biological Psychology VU University Amsterdam Amsterdam Netherlands;

    Department of Psychiatry Washington University School of Medicine St Louis MO United States;

    Institute of Cytology and Genetics Russian Academy of Science Novosibirsk Russian Federation;

    Department of Psychiatry University Medical Center Groningen Groningen Netherlands Departments;

    National Institute on Aging NIH Baltimore MD United States;

    Istituto di Neurogenetica e Neurofarmacologia CNR Monserrato Cagliari Italy;

    National Institute on Aging NIH Baltimore MD United States;

    Estonian Genome Project University of Tartu and Estonian Biocentre Tartu Estonia;

    Estonian Genome Project University of Tartu and Estonian Biocentre Tartu Estonia;

    National Institute on Aging NIH Baltimore MD United States;

    Department of Psychology Centre for Cognitive Ageing and Cognitive Epidemiology University of;

    Department of Psychology Centre for Cognitive Ageing and Cognitive Epidemiology University of;

    Estonian Genome Project University of Tartu and Estonian Biocentre Tartu Estonia;

    Department of Biostatistics Center for Statistical Genetics University of Michigan Ann Arbor MI;

    Department of Psychology Centre for Cognitive Ageing and Cognitive Epidemiology University of;

    Department of Psychology University of Helsinki Helsinki Finland;

    Department of Psychiatry Washington University School of Medicine St Louis MO United States;

    National Institute on Aging NIH Baltimore MD United States;

    Department of Biological Psychology VU University Amsterdam Amsterdam Netherlands;

    Queensland Institute of Medical Research Brisbane QLD Australia;

    Institute of Cytology and Genetics Russian Academy of Science Novosibirsk Russian Federation;

    Unit of Genetic Epidemiology Department of Epidemiology and Biostatistics Erasmus University;

    Unit of Genetic Epidemiology Department of Epidemiology and Biostatistics Erasmus University;

    Department of Biological Psychology VU University Amsterdam Amsterdam Netherlands;

    Department of Psychiatry Washington University School of Medicine St Louis MO United States;

    Department of Psychiatry Washington University School of Medicine St Louis MO United States;

    Queensland Institute of Medical Research Brisbane QLD Australia;

    Institute of Cytology and Genetics Russian Academy of Science Novosibirsk Russian Federation;

    Department of Biological Psychology VU University Amsterdam Amsterdam Netherlands;

    Queensland Institute of Medical Research Brisbane QLD Australia;

    Queensland Institute of Medical Research Brisbane QLD Australia;

    Unit of Genetic Epidemiology Department of Epidemiology and Biostatistics Erasmus University;

    Queensland Institute of Medical Research Brisbane QLD Australia;

    Department of Biological Psychology VU University Amsterdam Amsterdam Netherlands;

    Unit of Genetic Epidemiology Department of Epidemiology and Biostatistics Erasmus University;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 医学遗传学;
  • 关键词

    GSMA; KCNJ1; Linkage; NEO; Personality;

    机译:GSMA;KCNJ1;联动;neo;人格;

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