Population genetic diversity and clustering analysis for chinese dongxiang group with 30 autosomal InDel loci simultaneously analyzed

18Citations
Citations of this article
16Readers
Mendeley users who have this article in their library.

Abstract

In comparison with the most preferred genetic marker utilized in forensic science (STR), insertion/deletion analysis possesses further benefits, like absence of stutter peak, low mutation rate, and enabling mixed stain analysis. At present, a total of 169 unrelated healthy Dongxiang individuals dwelling in Dongxiang Autonomous county of Gansu province were recruited in our study to appraise the forensic usefulness of the panel including 30 autosomal diallelic genetic markers. The insertion allele frequencies were in the range of 0.1598 at HLD 111 to 0.8550 at HLD 118. The cumulative match of probability and the combined probability of exclusion were estimated based on independence of pairwise loci, with the values of 3.96 × 10-11 and 0.9886, respectively, which showed tremendous potential of this panel to be qualified for forensic personal identification in Chinese Dongxiang group. And it could also be used as a complementary tool for forensic parentage testing when combined with standard STR genetic markers. Furthermore, calculation of the DA distance and Fst values of pairwise populations, phylogenetic reconstruction, multidimensional scaling analysis, structure clustering analysis were also conducted to probe the genetic relationships between Dongxiang group and the other 30 reference populations. Results demonstrated that Dongxiang ethnic group might be genetically closer related with most Chinese populations involved in our study, especially Tibet groups, Xibe group, and several Han populations.

Cite

CITATION STYLE

APA

Zhu, B., Lan, Q., Guo, Y., Xie, T., Fang, Y., Jin, X., … Li, X. (2018). Population genetic diversity and clustering analysis for chinese dongxiang group with 30 autosomal InDel loci simultaneously analyzed. Frontiers in Genetics, 9(AUG). https://doi.org/10.3389/fgene.2018.00279

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free