从STR基因型定型中预测地理位置:在五个地理上不同的全球人口中进行试点研究
Mansi Arora1, Hirak Ranjan Dash1
1Department of Forensic Science, National Forensic Sciences University, Delhi Campus, New Delhi, India.
Annals of human biology
|July 4, 2023
概括
短串重复 (STR) 基因型可以在没有参考样本的情况下预测地理位置. 特定的STR标志物和人口数据可以用于法医调查的地理位置预测.
科学领域:
- 法医遗传学 法医遗传学
- 人口遗传学 人口遗传学
- 生物识别信息 生物识别信息
背景情况:
- 短串重复 (STR) 分析对个人识别至关重要.
- 传统的STR分析需要参考样本进行比较.
- 只有STR基因型缺乏地理位置信息,没有引用.
研究的目的:
- 评估基于STR的基因型对预测个体地理位置的潜力.
- 确定是否可以使用特定种群STR基因型数据进行地理位置预测.
主要方法:
- 从已发表的文献中收集了来自五个不同的人口 (高加索人,西班牙裔,亚洲人,爱沙尼亚人,巴林人) 的基因型数据.
- 分析基因型频率,并在每个种群中确定独特和最常见的基因型.
- 开发并提出了三种基因型到地理位置映射的预测模型.
主要成果:
- 在不同种群中发现观察到的基因型的显著差异 (p < 0.05).
- STR位点D1S1656和SE33表现出基因型频率的显著变化.
- STRs SE33,D12S391,D21S11,D19S433,D18S51和D1S1656显示出独特基因型的高发生率.
- D12S391和D13S317表现出不同的人口特有的频繁基因型.
结论:
- STR基因型可用于地理位置预测,特别是在没有参考样本的情况下.
- 提出的模型 (独特的基因型,最常见的基因型,组合方法) 可以协助调查.
- 这种方法为法医机构提供了一种有价值的工具,可以从遗传资料中识别地理来源.
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