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精神遗传学研究中非编码风险变异背后的分子机制。

Molecular mechanisms underlying noncoding risk variations in psychiatric genetic studies.

作者信息

Xiao X, Chang H, Li M

机构信息

Key Laboratory of Animal Models and Human Disease Mechanisms of The Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, Yunnan, China.

出版信息

Mol Psychiatry. 2017 Apr;22(4):497-511. doi: 10.1038/mp.2016.241. Epub 2017 Jan 3.

Abstract

Recent large-scale genetic approaches such as genome-wide association studies have allowed the identification of common genetic variations that contribute to risk architectures of psychiatric disorders. However, most of these susceptibility variants are located in noncoding genomic regions that usually span multiple genes. As a result, pinpointing the precise variant(s) and biological mechanisms accounting for the risk remains challenging. By reviewing recent progresses in genetics, functional genomics and neurobiology of psychiatric disorders, as well as gene expression analyses of brain tissues, here we propose a roadmap to characterize the roles of noncoding risk loci in the pathogenesis of psychiatric illnesses (that is, identifying the underlying molecular mechanisms explaining the genetic risk conferred by those genomic loci, and recognizing putative functional causative variants). This roadmap involves integration of transcriptomic data, epidemiological and bioinformatic methods, as well as in vitro and in vivo experimental approaches. These tools will promote the translation of genetic discoveries to physiological mechanisms, and ultimately guide the development of preventive, therapeutic and prognostic measures for psychiatric disorders.

摘要

近期诸如全基因组关联研究等大规模遗传学方法,已使得能够识别出对精神疾病风险结构有贡献的常见基因变异。然而,这些易感性变异大多位于通常跨越多个基因的非编码基因组区域。因此,精确找出导致风险的具体变异及其生物学机制仍具有挑战性。通过回顾精神疾病遗传学、功能基因组学和神经生物学方面的最新进展,以及脑组织的基因表达分析,我们在此提出一个路线图,以描述非编码风险位点在精神疾病发病机制中的作用(即确定解释那些基因组位点所赋予遗传风险的潜在分子机制,并识别假定的功能性致病变异)。该路线图涉及整合转录组数据、流行病学和生物信息学方法,以及体外和体内实验方法。这些工具将促进从基因发现到生理机制的转化,并最终指导精神疾病预防、治疗和预后措施的制定。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daf0/5378805/3963ce03db93/mp2016241f1.jpg

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