Abstract

Objective To evaluate the discrimination efficiency of the SeqType® P52 Human Ancestry Identification SNP Detection Kit based on a high-throughput sequencing platform in five Chinese ethnic groups. Methods Using the SeqType® P52 Human Ancestry Identification SNP Detection Kit based on a high-throughput sequencing platform, a total of 350 samples from Han, Tibetan, Mongolian, Uygur, and Yi populations in China were detected and population cluster analysis was performed. Results The effective sequencing depth of a single site in a single sample was ≥720×, and the average report rate was 96%. The mean values of allele frequency differences between the Tibetan, Mongolian, Uygur, Yi and Han population were 0.20, 0.05, 0.24 and 0.11, respectively. Using Structure 2.3.4 software under K=5 mode, independent ancestral component in Han, Tibetan and Uygur could be detected, which was consistent with the result observed from the principal component analysis (PCA). For the Yi population, two thirds of them had relatively independent ancestral component close to the Tibetan population and one third were similar to the Uygur population. The Mongolian population had similar ancestral origin component with Han population. Conclusion The composite detection system with 52 screened ancestry-informative SNP sites has been established in this study, which can effectively analyze the composition and individual genetic components of populations from Han, Tibetan and Uygur. The ability to discriminate among Han, Mongolian and Yi needs to be further improved. The SeqType® P52 Human Ancestry Identification SNP Detection Kit can be used to infer the origin of an individual's ancestors in some forensic DNA cases.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.