与精神分裂症有关的基因的相关表达分析:鉴定假定的疾病相关途径。

New horizons in translational medicine Pub Date : 2017-01-01 Epub Date: 2016-12-10
Erin I Liedtke, Sirey Zhang, John A Thompson, Stefan Sillau, Judith Gault
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摘要

精神分裂症(SCZ)是一种严重的精神疾病,影响0.7%的人口。[1]如果治疗不当,SCZ患者的症状会使他们功能失调,无法辨别现实的某些方面。尽管大多数SCZ患者为散发病例,且没有已知的家族史,但家族史是发生SCZ的最大危险因素之一。[2-4]一项大型全基因组关联研究(GWAS)最近确定了人类基因组中108个与SCZ发病机制有关的重要位点[5]。虽然一些基因座包括先前与SCZ有关的基因,但由于遗传调查的无偏倚性,大多数基因座包括与SCZ相关性未知的基因。本研究的前提是:1)在108个位点中至少有一个基因与SCZ病因有关;2)部分导致SCZ病因的基因具有共同通路;3)共同通路上的一些基因会有相关的基因表达。利用基因表达综合数据库(GEO)中的基因表达数据,鉴定了与SCZ相关的108个位点上的369个基因(853个亚型)的相关表达。表达数据来自66个个体(GSE4619)分离的骨髓CD34+选择细胞。首先,分析DRD2通路相关基因之间的相关性,验证部分SCZ基因在一条共同通路上且具有相关表达的假设。然后,基于108个位点基因的相关表达,生成了两条通路。其中一条通路包含最多的相关表达基因(56个),包括4个来自DRD2通路的基因和先前涉及SCZ的33个基因中的7个。第二种途径是一个包含12个基因的新途径,该途径排除了先前与SCZ相关的33个基因和其他与这33个基因表达显著相关的基因。对108个位点的SCZ相关基因进行相关表达分析,为SCZ发病机制中相关基因的表达提供了证据。此外,这些分析将有助于途径识别,为有针对性的实验创造起点,以验证或反驳这里产生的假设途径。最终确定参与SCZ发生的108个基因位点的基因和途径将为治疗和预防SCZ的新药开发提供信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Correlated expression analysis of genes implicated in schizophrenia: identification of putative disease-related pathways.

Schizophrenia (SCZ) is a severe psychiatric disorder affecting 0.7% of the population.[1] When inadequately treated, subjects with SCZ experience symptoms that render them dysfunctional and unable to discern aspects of reality. Despite the fact that the majority of subjects with SCZ are sporadic cases and do not have a known family history of SCZ, a family history is one of the largest risk factors for developing SCZ.[2-4] A large genome-wide association study (GWAS) recently pinpointed 108 significant loci within the human genome that contribute to SCZ pathogenesis.[5] While some loci include genes that have been previously implicated in SCZ, the majority, due to the unbiased nature of the genetic investigation, include genes with unknown relevance to SCZ. This investigation is based on the premise that: 1) at least one of the genes at the 108 loci contribute to SCZ etiology; 2) some of the genes contributing to SCZ etiology are in a common pathway; and 3) some genes in a common pathway will have correlated gene expression. Gene expression data available in the gene expression omnibus (GEO) was used to identify correlated expression among the 369 genes (853 isoforms) found at the 108 loci associated with SCZ. Expression data came from bone marrow CD34+ selected cells isolated from 66 individuals (GSE4619). First, correlation among genes related to the DRD2 pathway was analyzed to test the hypothesis that some SCZ genes are in a common pathway and have correlated expression. Then, two pathways were generated based on correlated expression of genes at the 108 loci. One pathway consisted of the largest number of genes with correlated expression (56) and included four genes from the DRD2 pathway and seven of the 33 genes that were previously implicated in SCZ. The second pathway, a novel pathway of 12 genes, was constructed by excluding both the 33 genes that were previously implicated in SCZ and other genes that exhibited significantly correlated expression with these 33 genes. Correlated expression analysis among SCZ-associated genes at the 108 loci provides evidence implicating those genes with correlated expression in SCZ pathogenesis. In addition, these analyses will facilitate pathway identification creating starting points for targeted experiments to verify or refute the hypothetical pathways generated here. Ultimately identifying the genes and pathways at the 108 loci involved in SCZ genesis will inform novel pharmaceutical development for treatment and prevention of SCZ.

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Contents Editorial Board Improving disease diagnosis by a new hybrid model Pros, cons and future of antibiotics Abstracts: 5th Annual Congress of the European Society for Translational Medicine (EUSTM-2017), 20-22 October 2017, Berlin, Germany
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