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韩国队列中人格的全基因组关联荟萃分析。

GWA meta-analysis of personality in Korean cohorts.

作者信息

Kim Bo-Hye, Kim Han-Na, Roh Seung-Ju, Lee Mi Kyeong, Yang Sarah, Lee Seung Ku, Sung Yeon-Ah, Chung Hye Won, Cho Nam H, Shin Chol, Sung Joohon, Kim Hyung-Lae

机构信息

Department of Biochemistry, School of Medicine, Ewha Womans University, Seoul, Republic of Korea.

Complex Disease and Genetic Epidemiology Branch, Department of Epidemiology and Institute of Environment and Health, School of Public Health, Seoul National University, Seoul, Republic of Korea.

出版信息

J Hum Genet. 2015 Aug;60(8):455-60. doi: 10.1038/jhg.2015.52. Epub 2015 May 21.

DOI:10.1038/jhg.2015.52
PMID:25994864
Abstract

Personality is a determinant of behavior and lifestyle that is associated with health and human diseases. Despite the heritability of personality traits is well established, the understanding of the genetic contribution to personality trait variation is extremely limited. To identify genetic variants associated with each of the five dimensions of personality, we performed a genome-wide association (GWA) meta-analysis of three cohorts, followed by comparison of a family cohort. Personality traits were measured with the Revised NEO Personality Inventory for the five-factor model (FFM) of personality. We investigated the top five single-nucleotide polymorphisms (SNPs) for each trait, and revealed the most highly association with neuroticism and TACC2 (rs1010657, P=8.79 × 10(-7)), extraversion and PTPN12 (rs12537271, P=1.47 × 10(-7)), openness and IMPAD1 (rs16921695, P=5 × 10(-8)), agreeableness and RPS29 (rs8015351, P=1.27 × 10(-6)) and conscientiousness and LMO4 (rs912765, P=2.91 × 10(-6)). It had no SNP reached the GWA study threshold (P<5 × 10(-8)). When expanded the SNPs up to top 100, the correlation of PTPRD (rs1029089) and agreeableness was confirmed in Healthy Twin cohort with other 13 SNPs. This GWA meta-analysis on FFM personality traits is meaningful as it was the first on a non-Caucasian population targeted to FFM of personality traits.

摘要

人格是行为和生活方式的一个决定因素,与健康和人类疾病相关。尽管人格特质的遗传性已得到充分证实,但对人格特质变异的遗传贡献的理解却极为有限。为了识别与人格五个维度相关的基因变异,我们对三个队列进行了全基因组关联(GWA)荟萃分析,随后对一个家系队列进行了比较。使用修订后的新人格量表(NEO)对人格五因素模型(FFM)的人格特质进行测量。我们研究了每个特质的前五个单核苷酸多态性(SNP),发现与神经质和TACC2(rs1010657,P = 8.79×10⁻⁷)、外向性和PTPN12(rs12537271,P = 1.47×10⁻⁷)、开放性和IMPAD1(rs16921695,P = 5×10⁻⁸)、宜人性和RPS29(rs8015351,P = 1.27×10⁻⁶)以及尽责性和LMO4(rs912765,P = 2.91×10⁻⁶)的相关性最高。没有SNP达到GWA研究阈值(P < 5×10⁻⁸)。当将SNP扩展到前100个时,在健康双胞胎队列中证实了PTPRD(rs1029089)与宜人性以及其他13个SNP的相关性。这项关于FFM人格特质的GWA荟萃分析具有重要意义,因为它是首次针对非白种人群的FFM人格特质进行分析。

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