在选定的东北亚人群中快速法医祖先推断:以Y-STR为基础的基于注意力的整体框架,用于初步调查指导
1Department of Management Engineering, College of Science and Technology, Dankook University, Cheonan, Republic of Korea.
Frontiers in genetics
|October 3, 2025
概括
从DNA中迅速推断祖先的起源在法医学中至关重要. 这项研究使用Y染色体短串重复 (Y-STRs) 和机器学习来提高祖先分类的准确性,特别是在东北亚人群中.
科学领域:
- 法医遗传学 法医遗传学
- 人口遗传学 人口遗传学
- 机器学习应用程序 机器学习应用程序
背景情况:
- 从DNA中快速推断祖先的起源对于时间敏感的法医调查至关重要.
- 综合性遗传分析是彻底的,但耗时.
- 由于人群特异分布,Y染色体短串重复 (Y-STRs) 提供了快速分析,对初始法医查有价值.
研究的目的:
- 通过Y-STR个人资料分析来提高人口分类准确性.
- 专门解决东北亚人口在商业祖先面板中的合并问题.
- 开发一种机器学习模型,用于在法医环境中快速评估祖先.
主要方法:
- 开发了一个基于注意力的集体机器学习架构.
- 集成的一对其余随机森林,XGBoost和物流回归算法.
- 配置了算法,以有效地管理不平衡的数据集,仅使用Y-STR数据.
主要成果:
- 仅使用Y-STR数据实现了80%-81%的整体准确性.
- 证明了高模型稳定性和可靠性.
- 成功处理不平衡的数据集用于祖先评估.
结论:
- 该框架增强了东北亚亚裔群体之间的差异化,这是当前商业面板的局限性.
- 为涉及亚洲人的法医案件提供了有价值的初步指导.
- 提高快速选能力,为早期调查提供信息,并补充全面分析.
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