A set of novel multi-allelic SNPs for forensic application developed through massively parallel sequencing and its examples of population genetic studies

Electrophoresis. 2020 Dec;41(23):2036-2046. doi: 10.1002/elps.202000128. Epub 2020 Sep 15.

Abstract

Massively parallel sequencing (MPS) technology allows to simultaneously type multitudinous molecular genetic markers for many samples in one run with the feature of high detection resolution, and thereby arouses the increasing attention from forensic science. Herein, multiple allelic single nucleotide polymorphisms (multi-allelic SNPs) were screened for personal identification and parentage testing, and then were genotyped using MPS platform. Unrelated individuals of Chinese Mongolian and Kazakh groups were investigated to further estimate forensic effectiveness and applicability of these multi-allelic SNPs. The results of sequencing efficiency estimations and forensic genetic statistical parameters demonstrated that this MPS panel of multi-allelic SNPs was expected to be work for forensic applications. Subsequently, the exploration of population genetic variation patterns among the two investigated groups and other 26 reference populations revealed that these Chinese Mongolian and Kazakh groups had the similar population genetic patterns with the populations from East Asian, but European ancestral composition in the Kazakh group was higher than that in the Mongolian group. Currently, the present results were the preliminary research to scrutinize genetic information of these two ethnic minority groups employing multi-allelic SNPs.

Keywords: Forensic genetics; Kazakh group; Massively parallel sequencing; Mongolian group; Multi-allelic SNPs.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Asian People / genetics
  • China
  • Databases, Genetic
  • Ethnicity / genetics*
  • Forensic Genetics / methods*
  • Genetics, Population
  • High-Throughput Nucleotide Sequencing / methods*
  • Humans
  • Polymorphism, Single Nucleotide / genetics*
  • Sequence Analysis, DNA / methods*