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FoxO1 A2M and TGF-β1: three novel genes predicting depression in gene X environment interactions are identified using cross-species and cross-tissues transcriptomic and miRNomic analyses

机译:FoxO1A2M和TGF-β1:使用跨物种和跨组织的转录组学和miRNomic分析鉴定了三个预测基因X环境相互作用下的抑郁症的新基因

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摘要

To date, gene-environment (GxE) interaction studies in depression have been limited to hypothesis-based candidate genes, since genome-wide (GWAS)-based GxE interaction studies would require enormous datasets with genetics, environmental, and clinical variables. We used a novel, cross-species and cross-tissues “omics” approach to identify genes predicting depression in response to stress in GxE interactions. We integrated the transcriptome and miRNome profiles from the hippocampus of adult rats exposed to prenatal stress (PNS) with transcriptome data obtained from blood mRNA of adult humans exposed to early life trauma, using a stringent statistical analyses pathway. Network analysis of the integrated gene lists identified the Forkhead box protein O1 (FoxO1), Alpha-2-Macroglobulin (A2M), and Transforming Growth Factor Beta 1 (TGF-β1) as candidates to be tested for GxE interactions, in two GWAS samples of adults either with a range of childhood traumatic experiences (Grady Study Project, Atlanta, USA) or with separation from parents in childhood only (Helsinki Birth Cohort Study, Finland). After correction for multiple testing, a meta-analysis across both samples confirmed six FoxO1 SNPs showing significant GxE interactions with early life emotional stress in predicting depressive symptoms. Moreover, in vitro experiments in a human hippocampal progenitor cell line confirmed a functional role of FoxO1 in stress responsivity. In secondary analyses, A2M and TGF-β1 showed significant GxE interactions with emotional, physical, and sexual abuse in the Grady Study. We therefore provide a successful ‘hypothesis-free’ approach for the identification and prioritization of candidate genes for GxE interaction studies that can be investigated in GWAS datasets.
机译:迄今为止,由于基于全基因组(GWAS)的GxE相互作用研究将需要具有遗传学,环境和临床变量的庞大数据集,因此抑郁症的基因-环境(GxE)相互作用研究仅限于基于假设的候选基因。我们使用了一种新颖的,跨物种和跨组织的“组学”方法来识别预测在GxE相互作用中的应激反应下抑郁的基因。我们使用严格的统计分析途径,将暴露于产前应激(PNS)的成年大鼠海马的转录组和miRNome谱与从暴露于早期生命创伤的成年人类的血液mRNA中获得的转录组数据进行了整合。对整合基因列表的网络分析确定了两个GWAS样品中的Forkhead box蛋白O1(FoxO1),Alpha-2-Macroglobulin(A2M)和Transforming Growth Factor Beta 1(TGF-β1)作为测试GxE相互作用的候选对象成年人,他们具有一系列的童年创伤经历(美国亚特兰大,Grady研究计划)或仅在童年时与父母分离的成年人(芬兰赫尔辛基出生队列研究)。在对多种测试进行校正后,对两个样品进行的荟萃分析证实了六种FoxO1 SNP在预测抑郁症状时显示出显着的GxE相互作用,并与早期的生活压力有关。此外,在人类海马祖细胞系中进行的体外实验证实了FoxO1在应激反应中的功能作用。在Grady研究中,A2M和TGF-β1在次要分析中显示出显着的GxE相互作用与情绪,身体和性虐待。因此,我们为GxE相互作用研究的候选基因的鉴定和优先排序提供了一种成功的“无假设”方法,可以在GWAS数据集中进行研究。

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