Forensic DNA Division, National Forensic Service, Wonju, 26460, Republic of Korea.
Lowy Cancer Research Centre and the Prince of Wales Clinical School, University of New South Wales, Sydney, NSW, 2052, Australia.
Int J Legal Med. 2019 Nov;133(6):1711-1719. doi: 10.1007/s00414-019-02129-7. Epub 2019 Aug 7.
Inference of ancestry from biological evidence can provide investigative information, especially for unknown DNA donors. Although tools for predicting ancestry have been developing, ancestry research focusing on populations relevant for South Korea is not common and markers are seldom chosen specifically to differentiate Koreans from other East Asian and South East Asian populations. Here, we report ancestry informative markers (AIMs) for distinguishing six East/South East Asian regional populations: China, Japan, Indonesia, Philippines, South Korea and Thailand. Individual genotypes from these six populations were available in PanSNPdb: The HUGO Pan-Asian SNP Database. To select AIMs, we calculated four population divergence metrics for each SNP: Nei's F, Rosenberg's Informativeness (I), the average absolute allele frequency difference between populations (δF) and the maximum allele frequency difference between populations (δF). Based on these values, we selected 100 single nucleotide polymorphisms (SNPs) for distinguishing the six populations, 13 of which exhibited large allele frequency differences between Koreans and non-Koreans. To assess the performance of the AIMs, we performed principal coordinates analysis (PCoA) on the individuals from all six populations and inferred ancestral population clusters using the STRUCTURE program. In conclusion, we found that the selected AIMs can be applied to distinguish the six East/South East Asian groups and we suggest the markers in this study will be helpful to establish ancestry panels for Korea and neighbouring populations.
从生物证据推断祖先可以提供调查信息,特别是对于未知的 DNA 供体。虽然预测祖先的工具一直在发展,但针对与韩国相关人群的祖先研究并不常见,而且很少选择标记来专门区分韩国人与其他东亚和东南亚人群。在这里,我们报告了用于区分六个东亚/东南亚地区人群的祖先信息标记(AIMs):中国、日本、印度尼西亚、菲律宾、韩国和泰国。这些六个群体的个体基因型可在 PanSNPdb:HUGO 泛亚 SNP 数据库中获得。为了选择 AIMs,我们为每个 SNP 计算了四个群体分化指标:Nei 的 F、Rosenberg 的信息量(I)、群体间平均绝对等位基因频率差异(δF)和群体间最大等位基因频率差异(δF)。基于这些值,我们选择了 100 个用于区分六个群体的单核苷酸多态性(SNP),其中 13 个在韩国人和非韩国人之间表现出较大的等位基因频率差异。为了评估 AIMs 的性能,我们对来自所有六个群体的个体进行了主坐标分析(PCoA),并使用 STRUCTURE 程序推断了祖先群体聚类。总之,我们发现所选的 AIMs 可用于区分这六个东亚/东南亚群体,我们建议本研究中的标记将有助于为韩国和邻近地区建立祖先面板。