通过比较基因组学识别人类疾病突变的cis抑制
Daniel M Jordan1, Stephan G Frangakis2, Christelle Golzio2
1Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA.
Nature
|July 1, 2015
概括
基因组背景影响蛋白质进化和疾病. 其他物种的补偿性氨基酸变化可以拯救人类疾病突变,帮助变异解释.
科学领域:
- 基因组学就是基因组学.
- 进化生物学 进化生物学
- 分子生物学分子生物学
背景情况:
- 氨基酸保存模式为蛋白质进化和人类基因组学提供了信息.
- 解释遗传变异的致病性对于患者护理至关重要.
研究的目的:
- 通过比较基因组学系统地分析引起人类疾病的误解变异.
- 研究基因组背景和遗传相互作用在疾病中的作用.
- 开发用于预测等位基致病性的计算工具.
主要方法:
- 对引起人类疾病的误解变体进行比较基因组学分析.
- 开发一种基因相互作用模型来预测补偿机制.
- 在人类疾病基因中预测补偿残留物的功能测试.
- 这种方法的应用用于ab initio基因发现.
主要成果:
- 引起疾病的等位基因在其他物种中保留了很大一部分,这表明基因组背景的重要性.
- 一个遗传相互作用模型预测了许多保存的等位基因的双对补偿.
- 确定了特定的cis氨基酸残留物,可以在体内拯救人类突变.
- 在BTG2中发现了一个新的疾病驱动因素,具有跨物种的保护性cis-modification.
结论:
- 半基因组背景是蛋白质进化和疾病的关键因素.
- 对表型的等位基因效应是复杂的,并受到遗传相互作用的影响.
- 开发的计算工具可以帮助预测等位基因的致病性和了解疾病机制.
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