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Genetic Approaches to Understanding Psychiatric Disease

机译:理解精神疾病的遗传方法

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摘要

Human genetic studies have been the driving force in bringing to light the underlying biology of psychiatric conditions. As these studies fill in the gaps in our knowledge of the mechanisms at play, we will be better equipped to design therapies in rational and targeted ways, or repurpose existing therapies in previously unanticipated ways. This review is intended for those unfamiliar with psychiatric genetics as a field and provides a primer on different modes of genetic variation, the technologies currently used to probe them, and concepts that provide context for interpreting the gene–phenotype relationship. Like other subfields in human genetics, psychiatric genetics is moving from microarray technology to sequencing-based approaches as barriers of cost and expertise are removed, and the ramifications of this transition are discussed here. A summary is then given of recent genetic discoveries in a number of neuropsychiatric conditions, with particular emphasis on neurodevelopmental conditions. The general impact of genetics on drug development has been to underscore the extensive etiological heterogeneity in seemingly cohesive diagnostic categories. Consequently, the path forward is not in therapies hoping to reach large swaths of patients sharing a clinically defined diagnosis, but rather in targeting patients belonging to specific “biotypes” defined through a combination of objective, quantifiable data, including genotype.Electronic supplementary materialThe online version of this article (doi:10.1007/s13311-017-0551-x) contains supplementary material, which is available to authorized users.
机译:人类遗传研究一直是揭示精神病学基础生物学的动力。随着这些研究填补了我们对起作用机制的认识的空白,我们将更有能力以合理和针对性的方式设计疗法,或以以前无法预料的方式重新利用现有疗法。这篇综述是针对那些不熟悉精神遗传学的领域的,它提供了关于遗传变异的不同模式,当前用于探测遗传变异的技术以及为解释基因表型关系提供背景的概念的入门。像人类遗传学的其他子领域一样,由于消除了成本和专业知识的障碍,精神遗传学正从微阵列技术转向基于测序的方法,并在此讨论了这种转变的后果。然后总结了在许多神经精神疾病中的最新遗传发现,特别是神经发育疾病。遗传学对药物开发的总体影响是强调看似具有凝聚力的诊断类别中广泛的病因异质性。因此,前进的道路不是希望获得一大批​​具有临床定义的诊断的患者的疗法,而是针对那些通过客观,可量化的数据(包括基因型)组合而定义的特定“生物型”患者的治疗方法。本文的版本(doi:10.1007 / s13311-017-0551-x)包含补充材料,授权用户可以使用。

著录项

  • 期刊名称 NeuroRx
  • 作者

    Jacob J. Michaelson;

  • 作者单位
  • 年(卷),期 2017(14),3
  • 年度 2017
  • 页码 564–581
  • 总页数 18
  • 原文格式 PDF
  • 正文语种
  • 中图分类 神经科学;
  • 关键词

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