将遗传结构变异和全基因组测序整合到临床神经学中
Xin Lin1, Yuanhao Yang1, Phillip E Melton1
1From the Menzies Institute for Medical Research (X.L., P.E.M., V.S., S.S.-Y., K.P.B., B.V.T., Y.Z.), University of Tasmania, Hobart, Australia; Mater Research Institute (Y.Y.), Translational Research Institute, Brisbane, QLD, Australia; Institute for Molecular Bioscience (Y.Y.), The University of Queensland, Brisbane, QLD, Australia; School of Population and Global Health (P.E.M.), University of Western Australia, Nedlands, WA; and Neuroepidemiology Unit (S.S.-Y.), Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, Australia.
全基因组测序 (WGS) 推进了神经系统疾病的遗传标记物识别. WGS提高了结构变异的诊断准确性,改善了患者的预后和治疗开发.
科学领域:
- 基因组学就是基因组学.
- 神经学 神经学
- 医学遗传学 医学遗传学
背景情况:
- 基因组测序技术改善了对疾病的遗传标记物的识别.
- 全基因组测序 (WGS) 越来越多地用于研究神经系统疾病的遗传基础.
- 结构变异与各种神经学和神经发育障碍有关.
研究的目的:
- 审查结构变异及其在神经疾病中的作用.
- 讨论WGS在神经学中的临床相关性.
- 突出WGS在增强诊断能力方面的潜力.
主要方法:
- 关于神经疾病中的结构变异研究的文献综述.
- 在临床神经病学中WGS应用的分析.
- 讨论基于WGS的关于结构变异和突变约束的研究.
主要成果:
- WGS可以检测到广泛的遗传变异,包括结构变异.
- 在改善神经疾病遗传测试的诊断能力方面,WGS显示出前景.
- 在变异解释,疾病诊断,生物标志物发现和治疗开发方面,WGS的研究辅助.
结论:
- WGS是了解神经疾病遗传结构的宝贵工具.
- 将WGS整合到医疗保健中可以增加具有挑战性的病例的诊断产量.
- 基因组编辑系统可以帮助确定基因组编辑策略的治疗目标和干预点.
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