Implications of Newly Identified Brain eQTL Genes and Their Interactors in Schizophrenia
- PMID: 30195780
- PMCID: PMC6041437
- DOI: 10.1016/j.omtn.2018.05.026
Implications of Newly Identified Brain eQTL Genes and Their Interactors in Schizophrenia
Abstract
Schizophrenia (SCZ) is a devastating genetic mental disorder. Identification of the SCZ risk genes in brains is helpful to understand this disease. Thus, we first used the minimum Redundancy-Maximum Relevance (mRMR) approach to integrate the genome-wide sequence analysis results on SCZ and the expression quantitative trait locus (eQTL) data from ten brain tissues to identify the genes related to SCZ. Second, we adopted the variance inflation factor regression algorithm to identify their interacting genes in brains. Third, using multiple analysis methods, we explored and validated their roles. By means of the aforementioned procedures, we have found that (1) the cerebellum may play a crucial role in the pathogenesis of SCZ and (2) ITIH4 may be utilized as a clinical biomarker for the diagnosis of SCZ. These interesting findings may stimulate novel strategy for developing new drugs against SCZ. It has not escaped our notice that the approach reported here is of use for studying many other genome diseases as well.
Keywords: EIF2; GO; GTEx; ITIH4; SNP; YWHA; brain; eQTL; mRMR; schizophrenia.
Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.
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