在禾中寻找针:揭示非编码监管变体的策略
You Chen1,2, Mauricio I Paramo1,2, Yingying Zhang1,2
1Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York, USA.
Annual review of genetics
|August 10, 2023
概括
在疾病中识别非编码变异的功能是具有挑战性的. 新的工具和数据正在提高我们确定因果变异和理解其监管效应的能力.
科学领域:
- 基因组学就是基因组学.
- 分子生物学分子生物学
- 人类遗传学 人类遗传学
背景情况:
- 非编码变体越来越多地与人类疾病有关.
- 了解这些变体的功能影响至关重要,但很难.
- 监管景观注释和变体数据的进步是关键.
研究的目的:
- 审查最近在识别和评估非编码监管变体方面的进展.
- 讨论未来的方向,以了解它们在疾病中的作用.
主要方法:
- 对监管环境的系统注释.
- 对大规模序列变异数据集的分析.
- 开发和应用计算工具和方法.
主要成果:
- 在识别因果非编码变异方面取得了重大进展.
- 新的方法允许评估这些变体的监管效应.
- 该领域正在迅速发展,拥有新的工具和数据.
结论:
- 尽管面临挑战,但在理解非编码变体功能方面正在取得进展.
- 未来的研究应该专注于整合不同的数据和方法.
- 更深入地了解非编码的调控变异将推动人类疾病研究.
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