Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands.
Mol Psychiatry. 2012 Mar;17(3):337-49. doi: 10.1038/mp.2010.128. Epub 2010 Dec 21.
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.
个性可以被认为是一组特征,这些特征在各种环境下影响着人们的思想、感受和行为。个性的变化可以预测生活中的许多结果,包括心理健康。在这里,我们报告了一项针对人格的全基因组关联(GWA)数据分析的荟萃分析,该分析涉及 10 个发现样本(17375 名成年人)和 5 个基于计算机的复制样本(3294 名成年人)。所有参与者都具有欧洲血统。神经质、外向性、开放性、宜人性和尽责性的人格评分基于 NEO 五因素量表。约 240 万个单核苷酸多态性(SNP;直接通过 HapMap 数据进行分型并进行了推断)的基因型数据可用。在发现样本中,采用加性模型进行经典关联分析,然后使用加权逆方差法进行荟萃分析。结果表明,在 5q14.3 上的 RASA1 基因附近的开放性(rs1477268 和 rs2032794,P=2.8×10(-8)和 3.1×10(-8))和 18q21.1 上的脑表达基因 KATNAL2 上的尽责性(rs2576037,P=4.9×10(-8))达到了全基因组显著水平。我们进一步进行了基因测试,证实了 KATNAL2 与尽责性的关联。然而,基于计算机的复制并不能显示出与开放性和尽责性相关的顶级 SNP 的显著关联,尽管 KATNAL2 SNP 对尽责性的影响方向在所有复制样本中都是一致的。需要更大规模的 GWA 研究和替代方法来确认 KATNAL2 作为影响尽责性的一个新基因。