Premium
Population genetics of 15 autosomal STR loci in the Han population of Ili Kazakh Autonomous Prefecture, Northwestern China
Author(s) -
Zhao Zhiliang,
Xia Lu,
Zhao Cong,
Ameen Fuad,
Alyahya Sami,
Yao Jun
Publication year - 2019
Publication title -
annals of human genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.537
H-Index - 77
eISSN - 1469-1809
pISSN - 0003-4800
DOI - 10.1111/ahg.12314
Subject(s) - kazakh , genetics , biology , genotyping , population , allele , allele frequency , china , population genetics , microsatellite , evolutionary biology , genotype , demography , gene , geography , philosophy , linguistics , archaeology , sociology
Purpose China harbors 56 ethnic groups and Han accounts for >92% of the total Chinese population. We investigated the frequencies of 15 autosomal short tandem repeat (STR) loci in the Han population of the Ili Kazakh Autonomous Prefecture with the aim of expanding the available population information in human genetics databases and for forensic DNA analysis. Subjects and Methods We explored the genetic characteristics of 15 autosomal STR loci in 552 unrelated Chinese Han individuals from Ili Kazakh Autonomous Prefecture, Northwestern China using the AmpFISTR Identifiler PCR Amplification Kit. Moreover, phylogenetic analysis was performed between the Han population and other relevant populations based on the autosomal STR genotyping. The neighbor‐joining tree and principle component analysis were generated based on the Nei's standard genetic distance and allelic frequencies, respectively. Results A total of 171 alleles were observed among 552 unrelated individuals and allelic frequencies ranged from 0.5145 to 0.0009. The combined power of discrimination and combined power of exclusion of the 15 autosomal STR loci were 0.64 and 0.8243616671, respectively. Conclusions Population comparison revealed that the Ili Han population were lining up together with other Han populations in China while showing significant differences from other Chinese and worldwide populations.