Chudinov Alexander V, Ivanovsky Ivan D, Polyakov Sergey A, Zasedatelev Alexander S, Fesenko Denis O
Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.
DNA Research Center, LLC, 141402 Hkimki, Russia.
Biology (Basel). 2024 Nov 29;13(12):993. doi: 10.3390/biology13120993.
The aim of this work was to select InDel markers sufficient for human identification and to create a routine method for their genotyping. We analyzed the allele distribution of all known InDels in European, East Asian, South Asian, African, and American populations and selected markers whose minor allele frequency, MAF, was ≥ 0.30. Thus, a set of 99 polymorphisms was formed with an average MAF for all five populations of 0.397 and a distance between markers of ≥3 million bp. The expected values of combined random match probability differ very little between the five superpopulations and are in the range of 1.44 × 10-3.68 × 10. For the genotyping of this set of markers, we have developed a method that includes single-step multiplex PCR followed by hybridization on a biochip. The average amplicon length was 72 bp. Aiming to verify the usefulness of 99 biallelic InDels in genetic identification and kinship testing, two phylogenetically distant populations were studied: Russian and Ecuadorian. For the Russian population, the combined random match probability was 2.09 × 10, and the combined power of exclusion, CPE, was 0.999999989. For the Ecuadorian population, the combined random match probability was 1.02 × 10, and the combined power of exclusion was 0.999999978. The proposed method is intended to become an alternative to human identification based on differences in the length of STR loci.
这项工作的目的是选择足以用于人类身份识别的插入缺失(InDel)标记,并创建一种对其进行基因分型的常规方法。我们分析了欧洲、东亚、南亚、非洲和美洲人群中所有已知InDel的等位基因分布,并选择了次要等位基因频率(MAF)≥0.30的标记。因此,形成了一组99个多态性位点,这五个群体的平均MAF为0.397,标记之间的距离≥300万碱基对。五个超群体之间的组合随机匹配概率期望值差异很小,范围在1.44×10至3.68×10之间。对于这组标记的基因分型,我们开发了一种方法,包括单步多重PCR,然后在生物芯片上进行杂交。平均扩增子长度为72碱基对。为了验证99个双等位基因InDel在遗传身份识别和亲属关系检测中的实用性,研究了两个系统发育距离较远的群体:俄罗斯人和厄瓜多尔人。对于俄罗斯人群,组合随机匹配概率为2.09×10,组合排除力(CPE)为0.999999989。对于厄瓜多尔人群,组合随机匹配概率为1.02×10,组合排除力为0.999999978。所提出的方法旨在成为基于短串联重复序列(STR)位点长度差异进行人类身份识别的替代方法。