通过在中和变异发生的克隆性血液形成驱动突变的鉴定
Santiago Demajo1,2, Joan Enric Ramis-Zaldivar1, Ferran Muiños1,2
1Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Baldiri Reixac, 10, 08028 Barcelona, Spain.
medRxiv : the preprint server for health sciences
|January 3, 2024
概括
机器学习模型准确地识别了导致克隆性血液形成 (CH) 的驱动突变,这是与各种疾病相关的疾病. 这些模型改进了现有方法,有助于在健康个体中识别CH.
科学领域:
- 遗传学和基因组学 遗传学和基因组学
- 计算生物学 计算生物学
- 血液学 血液学 血液学
背景情况:
- 克隆性造血 (CH) 涉及由于体质突变导致造血干细胞的扩张,越来越多地与血液恶性瘤和心血管疾病有关.
- 虽然已知常见的CH驱动基因,但对启动CH的突变缺乏全面的理解.
- 目前用于识别驱动突变的现有方法是有限的.
结论:
- 开发的机器学习模型为准确的CH驱动器突变识别提供了强大的工具.
- 这些模型可以促进在健康人群中准确识别克隆性血液形成.
- 这项工作推进了能够启动克隆性血液形成的突变的系统景观.
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