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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.

journal_name

Mol Ther Nucleic Acids

journal_title

Molecular therapy. Nucleic acids

authors

Cai L,Huang T,Su J,Zhang X,Chen W,Zhang F,He L,Chou KC

doi

10.1016/j.omtn.2018.05.026

subject

Has Abstract

pub_date

2018-09-07 00:00:00

pages

433-442

issn

2162-2531

pii

S2162-2531(18)30126-4

journal_volume

12

pub_type

杂志文章

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