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

Peilin Jia; Lily Wang; Herbert Y. Meltzer; Zhongming Zhao

doi:10.1016/j.schres.2010.07.001

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

Peilin Jia, Lily Wang, Herbert Y. Meltzer, Zhongming Zhao^*

^*Corresponding author for this work

Psychiatry and Behavioral Sciences

Research output: Contribution to journal › Article › peer-review

148 Scopus citations

Abstract

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.

Original language	English (US)
Pages (from-to)	38-42
Number of pages	5
Journal	Schizophrenia Research
Volume	122
Issue number	1-3
DOIs	https://doi.org/10.1016/j.schres.2010.07.001
State	Published - Sep 1 2010

Keywords

Candidate gene
GWAS
Gene set enrichment analysis
Pathway
Schizophrenia

ASJC Scopus subject areas

Psychiatry and Mental health
Biological Psychiatry

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