亲属LR:法医遗传学复杂亲属测试软件开发和应用
Xingru Zhang1, Yating Fang2, Yuxin Guo3
1Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an 710004, China; School of Basic Medical Science, Anhui Medical University, Hefei 230031, China.
Forensic science international
|September 4, 2025
概括
通过优化复杂的亲属测试,这项研究发现,将X-STR添加到自体STR中显著提高了准确性. 基因LR R 组件和 IBS-SVM 方法提高了可靠的法医应用的遗传标记选择.
科学领域:
- 法医遗传学
- 种群遗传学
- 生物信息学
背景情况:
- 由于复杂的遗传数据和未优化的标志物选择,复杂的亲属测试面临挑战.
- 对自体STR,SNP和X-STR等遗传标记的系统评估缺乏复杂的关系.
研究的目的:
- 开发一个R包,KinshipLR,用于优化复杂亲属测试中的遗传标记选择.
- 在各种亲属情景和群体中评估自体STR,SNP和X-STR的疗效.
- 为了比较不同的评估算法对亲属关系分析的性能.
主要方法:
- 开发了用于生物标志物选择的KinshipLR R包.
- 进行了1万次模拟,使用中国人群的等位基因频率数据进行了各种场景.
- 影响测试准确性的评估因素:关系类型,种群,标记类型和算法 (LR与IBS-SVM).
主要成果:
- 在亲属测试中,遗传标记的有效性在不同人群中有很大差异.
- 整合27个X-STR与20个CODIS-STR可以大大提高兄弟姐妹和女关系的准确性.
- 在复杂的亲属测试中,IBS与SVM方法表现优于传统的LR方法.
结论:
- 这项研究提供了一种定制的方法来选择遗传标记,以提高复杂的亲属测试效率和可靠性.
- 这些发现为优化法医遗传应用提供了宝贵的见解.
- X-STR 在增强亲属测试能力方面发挥着至关重要的作用,特别是在具有挑战性的场景中.
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