法医人类学中的祖先估计:在巴西样本中AncesTrees软件的准确性
Victor Jacometti1, Marco Aurelio Guimarães1, Luis Otávio Carvalho de Moraes2
1Department of Pathology and Legal Medicine, Ribeirão Preto Medical School, University of São Paulo, 14048-900 Ribeirão Preto, Brazil.
Forensic sciences research
|January 15, 2024
概括
在巴西,AncesTrees软件对祖先估计的准确性有限.
科学领域:
- 法医人类学 法医人类学
- 人口遗传学 人口遗传学
- 生物信息学是一种生物信息学.
背景情况:
- 祖先估计软件需要在不同人群中进行验证.
- 巴西的人口的特点是大量混合,这对遗传祖先推断构成了挑战.
- 现有的祖先估计工具可能无法准确地反映巴西个人的复杂遗传格局.
研究的目的:
- 评估AncesTrees软件的准确性和适用性,用于使用巴西样本的头骨测量来估计祖先.
- 评估不同算法配置和祖先组集成的AncesTrees的性能.
- 为了确定当前AncesTrees模型对巴西等高度混合的人口的适用性.
主要方法:
- 从114个巴西头骨 (欧洲,非洲和混合祖先) 中进行了头骨测量.
- 24个测变量被输入到AncesTrees软件中,使用两个具有不同配置的算法.
- 祖先分类的准确性与已知的祖先起源进行了比较.
主要成果:
- 对于欧洲 (73%) 的祖先估计,AncesTrees比非洲 (66%) 的祖先估计准确度更高.
- 有混合血统的个人经常被错误分类,主要是欧洲人.
- 最准确的整体性能 (70%) 是通过使用祖先的森林算法,仅与欧洲和非洲群体实现的.
结论:
- 该AncesTrees软件证明了在高度混合的巴西人口中对祖先估计的脆弱适用性.
- 目前的模型需要改进,需要为巴西人开发一个更具代表性的人类数据库.
- 改善人口特定数据对于提高巴西祖先估计工具的准确性至关重要.
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