Department of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Forensic Sci Int Genet. 2019 Sep;42:227-234. doi: 10.1016/j.fsigen.2019.07.006. Epub 2019 Jul 15.
Next generation sequencing (NGS) technologies have enabled the possibility of analyzing a large number of SNPs simultaneously from multiple samples in a single experiment, for complementing the shortcomings of STR based methods. To efficiently genotype the desired SNPs, it is critical to optimize the library construction procedures. In this study, we formulated a strategy combining the molecular inversion probe (MIP) based target region capture method and NGS for genotyping 1245 SNPs. All the SNPs we selected exhibited high heterozygosity (minor allele frequency (MAF) > 0.3) according to 1000 genomes data. We applied the method to genotype a population of 210 unrelated individuals from the Hubei province of China and assessed the allele frequencies, Hardy-Weinberg equilibrium and linkage disequilibrium. The MAFs of more than 95% of the SNPs were ≥0.2, and no significant deviation or strong linkage was observed for 98% of the SNPs. The data indicated that, even within a relatively confined region, our SNP panel is suitable for individual identifications. Furthermore, we performed paternity test for 7 trio families using low quality DNA samples. The conclusions are in total agreement with these of STR-based analyses, with higher confidence indexes. Finally, we evaluated the performance of the MIP-NGS method with mock degraded DNA samples. We were able to genotype most of the SNPs even when the genomic DNA was sonicated to ˜100 bp range. In summary, we established a highly accurate and cost-effective method of SNP genotyping, which is potentially capable of solving complex issues encountered in forensic practices.
下一代测序(NGS)技术使人们有可能在单个实验中同时分析来自多个样本的大量 SNP,以弥补基于 STR 方法的不足。为了有效地对所需的 SNP 进行基因分型,优化文库构建程序至关重要。在这项研究中,我们制定了一种结合分子倒置探针(MIP)基于目标区域捕获方法和 NGS 的策略,用于对 1245 个 SNP 进行基因分型。根据 1000 基因组数据,我们选择的所有 SNP 均表现出较高的杂合性(次要等位基因频率(MAF)> 0.3)。我们将该方法应用于对来自中国湖北省的 210 个无关个体的群体进行基因分型,并评估了等位基因频率、哈迪-温伯格平衡和连锁不平衡。超过 95%的 SNP 的 MAF 均≥0.2,并且 98%的 SNP 没有观察到显著偏差或强连锁。数据表明,即使在相对受限的区域内,我们的 SNP 面板也适合个体识别。此外,我们使用低质量的 DNA 样本对 7 个三联体家庭进行了亲子鉴定。结论与基于 STR 的分析完全一致,置信指数更高。最后,我们用模拟降解的 DNA 样本评估了 MIP-NGS 方法的性能。即使将基因组 DNA 超声处理至约 100 bp 的范围,我们也能够对大多数 SNP 进行基因分型。总之,我们建立了一种高度准确且具有成本效益的 SNP 基因分型方法,该方法有可能解决法医学实践中遇到的复杂问题。