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GeneNetwork.org中的系统遗传学分析。

Systems Genetic Analysis in GeneNetwork.org.

作者信息

Parker Clarissa C, Dickson Price E, Philip Vivek M, Thomas Mary, Chesler Elissa J

机构信息

Department of Psychology and Program in Neuroscience, Middlebury College, Middlebury, Vermont.

Center for Mammalian Genetics, The Jackson Laboratory, Bar Harbor, Maine.

出版信息

Curr Protoc Neurosci. 2017 Apr 10;79:8.39.1-8.39.20. doi: 10.1002/cpns.23.

Abstract

Genome-wide association studies (GWAS) have emerged as a powerful tool to identify alleles and molecular pathways that influence susceptibility to psychiatric disorders and other diseases. Forward genetics using mouse mapping populations allows for a complementary approach that provides rigorous genetic and environmental control. In this unit, we describe techniques and tools that reduce the technical burden traditionally associated with genetic mapping in mice and enhance their translational utility to human psychiatric disorders. We provide guidance on choosing the appropriate mapping population, discuss the importance of phenotype, and offer detailed instructions on using the Web-based resource GeneNetwork to aid neuroscientists in better understanding the mechanisms through which genes influence behavior. We believe that the continued development of mouse mapping populations, genetic tools, bioinformatics resources, and statistical methodologies should remain a parallel strategy by which to investigate the genetic and environmental underpinnings of psychiatric disorders and other diseases in humans. © 2017 by John Wiley & Sons, Inc.

摘要

全基因组关联研究(GWAS)已成为一种强大的工具,用于识别影响精神疾病和其他疾病易感性的等位基因和分子途径。利用小鼠定位群体进行正向遗传学研究提供了一种互补方法,可实现严格的遗传和环境控制。在本单元中,我们描述了一些技术和工具,这些技术和工具减少了传统上与小鼠遗传定位相关的技术负担,并增强了它们对人类精神疾病的转化效用。我们提供了选择合适定位群体的指导,讨论了表型的重要性,并提供了使用基于网络的资源GeneNetwork的详细说明,以帮助神经科学家更好地理解基因影响行为的机制。我们认为,小鼠定位群体、遗传工具、生物信息学资源和统计方法的持续发展应仍然是一种并行策略,通过该策略来研究人类精神疾病和其他疾病的遗传和环境基础。© 2017约翰威立国际出版公司

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