基因-应激相互作用在基因发现研究中的作用。

H. Snieder, Xiaoling Wang, V. Lagou, B. Penninx, H. Riese, C. Hartman
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引用次数: 6

摘要

共同复杂特征和疾病的遗传变异鉴定可以看作是一个从人类基因组测序开始的三个阶段的过程。第二阶段,不同人群的遗传变异特征,近年来取得了重大进展。单核苷酸多态性(SNPs)的增加已经在遗传关联研究中产生了两个重要的发展。候选基因研究越来越多地考虑基因内的所有变异,而不是专注于一个或两个功能snp。二是全基因组关联研究的进展。本章阐述了基因-应激相互作用可能有助于基因发现研究的两种不同方式。我们最近的研究表明,心率变异性(一种与精神病理学和心血管疾病相关的自主神经功能障碍指标)在标准化实验室环境中暴露于急性应激挑战可能会产生更具遗传性的内表型,从而促进潜在基因的识别。第二个例子显示了基于多重问卷调查和基于访谈的压力暴露测量的慢性压力累积指数的创建如何应用于(高)血压的全基因组关联研究,以发现只在压力环境中表达的基因。我们的结论是,在基因和全基因组关联研究的背景下,基因-环境相互作用的研究可能为复杂性状和疾病的基因发现工作提供重要的优势。
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Role of gene-stress interactions in gene-finding studies.
Identification of genetic variants underlying common complex traits and diseases can be viewed as a three-stage process that jump-started with the sequencing of the human genome. The second phase, characterization of genetic variants in different human populations, has shown major progress in recent years. The increased availability of single nucleotide polymorphisms (SNPs) has already spawned two important developments in genetic association studies. Increasingly, rather than focusing on one or two functional SNPs, candidate gene studies consider all variants within the gene jointly. The second development is that of the whole genome association study. This chapter illustrates two distinct ways in which gene-stress interactions may aid such gene finding studies. We have recently shown for heart rate variability--an index of autonomic dysfunction related to both psychopathology and cardiovascular disease--that exposure to an acute stressful challenge in a standardized lab setting may produce a more heritable endophenotype, facilitating identification of underlying genes. The second example shows how the creation of a cumulative index of chronic stress based on multiple questionnaire- and interview-based measures of stress exposure may be applied in a genome-wide association study of (high) blood pressure to find genes that only come to expression in stressful environments. We conclude that investigation ofgene-environment interactions in the context of both gene- and genome-wide association studies may offer important advantages in gene finding efforts for complex traits and diseases.
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