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神经发育障碍中的拷贝数变异:前景与挑战。

Copy-number variants in neurodevelopmental disorders: promises and challenges.

作者信息

Merikangas Alison K, Corvin Aiden P, Gallagher Louise

机构信息

Department of Psychiatry, Trinity Centre for Health Sciences, St. James Hospital, Dublin, Ireland.

出版信息

Trends Genet. 2009 Dec;25(12):536-44. doi: 10.1016/j.tig.2009.10.006. Epub 2009 Nov 10.

Abstract

Copy-number variation (CNV) is the most prevalent type of structural variation in the human genome. There is emerging evidence that copy-number variants (CNVs) provide a new vista on understanding susceptibility to neuropsychiatric disorders. Some challenges in the interpretation of current CNV studies include the use of overlapping samples, differing phenotypic definitions, an absence of population norms for CNVs and a lack of consensus in methods for CNV detection and analysis. Here, we review current CNV association study methods and results in autism spectrum disorders (ASD) and schizophrenia, and provide suggestions for design approaches to future studies that might maximize the translation of this work to etiological understanding.

摘要

拷贝数变异(CNV)是人类基因组中最普遍的结构变异类型。越来越多的证据表明,拷贝数变异(CNV)为理解神经精神疾病的易感性提供了新视角。当前CNV研究解读中的一些挑战包括样本重叠的使用、不同的表型定义、缺乏CNV的群体标准以及CNV检测和分析方法缺乏共识。在此,我们综述了当前在自闭症谱系障碍(ASD)和精神分裂症中CNV关联研究的方法和结果,并为未来研究的设计方法提供建议,这些方法可能会最大限度地将这项工作转化为病因学理解。

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