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整合全基因组关联研究和表达数量性状位点数据可识别出多个与神经质相关的基因和基因集。

Integrating genome-wide association study and expression quantitative trait loci data identifies multiple genes and gene set associated with neuroticism.

作者信息

Fan Qianrui, Wang Wenyu, Hao Jingcan, He Awen, Wen Yan, Guo Xiong, Wu Cuiyan, Ning Yujie, Wang Xi, Wang Sen, Zhang Feng

机构信息

Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, PR China.

Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, PR China.

出版信息

Prog Neuropsychopharmacol Biol Psychiatry. 2017 Aug 1;78:149-152. doi: 10.1016/j.pnpbp.2017.05.017. Epub 2017 May 25.

Abstract

Neuroticism is a fundamental personality trait with significant genetic determinant. To identify novel susceptibility genes for neuroticism, we conducted an integrative analysis of genomic and transcriptomic data of genome wide association study (GWAS) and expression quantitative trait locus (eQTL) study. GWAS summary data was driven from published studies of neuroticism, totally involving 170,906 subjects. eQTL dataset containing 927,753 eQTLs were obtained from an eQTL meta-analysis of 5311 samples. Integrative analysis of GWAS and eQTL data was conducted by summary data-based Mendelian randomization (SMR) analysis software. To identify neuroticism associated gene sets, the SMR analysis results were further subjected to gene set enrichment analysis (GSEA). The gene set annotation dataset (containing 13,311 annotated gene sets) of GSEA Molecular Signatures Database was used. SMR single gene analysis identified 6 significant genes for neuroticism, including MSRA (p value=2.27×10), MGC57346 (p value=6.92×10), BLK (p value=1.01×10), XKR6 (p value=1.11×10), C17ORF69 (p value=1.12×10) and KIAA1267 (p value=4.00×10). Gene set enrichment analysis observed significant association for Chr8p23 gene set (false discovery rate=0.033). Our results provide novel clues for the genetic mechanism studies of neuroticism.

摘要

神经质是一种具有重要遗传决定因素的基本人格特质。为了识别神经质的新易感基因,我们对全基因组关联研究(GWAS)和表达定量性状位点(eQTL)研究的基因组和转录组数据进行了综合分析。GWAS汇总数据来自已发表的神经质研究,总共涉及170,906名受试者。从对5311个样本的eQTL荟萃分析中获得了包含927,753个eQTL的eQTL数据集。通过基于汇总数据的孟德尔随机化(SMR)分析软件对GWAS和eQTL数据进行综合分析。为了识别与神经质相关的基因集,将SMR分析结果进一步进行基因集富集分析(GSEA)。使用了GSEA分子特征数据库的基因集注释数据集(包含13,311个注释基因集)。SMR单基因分析确定了6个与神经质相关的显著基因,包括MSRA(p值=2.27×10)、MGC57346(p值=6.92×10)、BLK(p值=1.01×10)、XKR6(p值=1.11×10)、C17ORF69(p值=1.12×10)和KIAA1267(p值=4.00×10)。基因集富集分析观察到Chr8p23基因集存在显著关联(错误发现率=0.033)。我们的结果为神经质的遗传机制研究提供了新线索。

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