从样本到临床洞察力:在疾病诊断中对外体序列测序的审查
Gowrang Kasaba Manjunath1, Rohit Kumar Verma2, Abhijit Berua1
1Manipal Academy of Higher Education (MAHE), Manipal, Karnataka, India; Institute of Bioinformatics, International Technology Park, Bangalore, Karnataka, India.
Methods (San Diego, Calif.)
|November 21, 2025
概括
外基因测序 (ES) 精确地识别了蛋白质编码基因中的疾病变异. 本综述涵盖ES方法,分析,临床用途和伦理学,推进基因组诊断和个性化医学.
科学领域:
- 基因组医学是基因组医学.
- 生物信息学是一种生物信息学.
- 临床诊断 临床诊断 临床诊断
背景情况:
- 外基因组测序 (ES) 精确地识别了蛋白质编码区域中的与疾病相关的变异.
- 它对于基因组研究和临床诊断至关重要,尽管编码区域是基因组的一小部分.
研究的目的:
- 提供对外体序列 (ES) 方法的全面概述.
- 讨论数据分析管道,临床相关性和道德考虑.
- 突出ES在个性化医疗中的不断扩大的作用和未来的方向.
主要方法:
- 审查外基因组测序工作流程,从DNA提取到测序和数据分析.
- 捕获技术和测序平台 (短读和长读) 的评估.
- 讨论计算分析工具 (GATK,FreeBayes,DeepVariant,Platypus) 和提高准确性的策略.
主要成果:
- 在罕见疾病,癌症基因组学,药物基因组学和多基因组学研究中应用ES.
- 诸如CYP2C19变体之类的可行的例子证明了ES在个性化医学中的作用.
- 挑战包括变体解释,错误阳性和数据标准化.
结论:
- 基因组学是基因组发现,疾病诊断和精确医疗保健的关键工具.
- 未来的方向包括机器学习,单细胞测序和可扩展的生物信息学.
- 伦理,法律和社会影响 (知情同意,数据隐私) 是关键考虑因素.
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