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Molecular mechanisms underlying noncoding risk variations in psychiatric genetic studies

机译:精神遗传学研究非编码风险变异的潜在分子机制

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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.
机译:最近的大规模遗传方法,例如全基因组关联研究,已经使人们能够鉴定出常见的遗传变异,从而有助于精神疾病的风险结构。但是,大多数这些易感性变体位于通常跨越多个基因的非编码基因组区域。结果,找出导致该风险的精确变体和生物学机制仍然具有挑战性。通过回顾精神疾病的遗传学,功能基因组学和神经生物学以及脑组织的基因表达分析的最新进展,我们在此提出了一种路线图,以表征非编码风险基因座在精神疾病发病机理中的作用(即,确定解释这些基因组基因座所赋予的遗传风险并识别推定的功能性致病变异的潜在分子机制)。该路线图涉及转录组数据,流行病学和生物信息学方法以及体外和体内实验方法的整合。这些工具将促进遗传发现向生理机制的转化,并最终指导针对精神疾病的预防,治疗和预后措施的发展。

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