Common variants conferring risk of schizophrenia: A pathway analysis of GWAS data

被引：163

作者：

Jia, Peilin ^{[1
,2
]}

Wang, Lily ^{[3
]}

Meltzer, Herbert Y. ^{[2
]}

Zhao, Zhongming ^{[1
,2
]}

机构：

[1] Vanderbilt Univ, Dept Biomed Informat, Sch Med, Nashville, TN 37232 USA

[2] Vanderbilt Univ, Dept Psychiat, Nashville, TN 37232 USA

[3] Vanderbilt Univ, Dept Biostat, Sch Med, Nashville, TN 37232 USA

来源：

SCHIZOPHRENIA RESEARCH | 2010年 / 122卷 / 1-3期

基金：

美国国家卫生研究院;

关键词：

Schizophrenia; Gene set enrichment analysis; GWAS; Pathway; Candidate gene; ASSOCIATION;

D O I：

10.1016/j.schres.2010.07.001

中图分类号：

R749 [精神病学];

学科分类号：

100205 ;

摘要：

Unlike the typical analysis of single markers in genome-wide association studies (GWAS), we incorporated Gene Set Enrichment Analysis (GSEA) and hypergeometric test and combined them using Fisher's combined method to perform pathway-based analysis in order to detect genes' combined effects on mediating schizophrenia. A few pathways were consistently found to be top ranked and likely associated with schizophrenia by these methods; they are related to metabolism of glutamate, the process of apoptosis, inflammation, and immune system (e.g., glutamate metabolism pathway, TGF-beta signaling pathway, and TNFR1 pathway). The genes involved in these pathways had not been detected by single marker analysis, suggesting this approach may complement the original analysis of GWAS dataset. (C) 2010 Elsevier B.V. All rights reserved.

引用

页码：38 / 42

页数：5

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