Literature DB >> 16114541

[Genetic relationship between minorities in Guangxi by STR markers].

Tian-Bo Jin1, Ya Gao, Chun-xia Yan, Teng Chen, Sheng-bin Li.   

Abstract

OBJECTIVE: To determine the molecular genetic relationship of minorities and sub-population in Guangxi area.
METHODS: Six stable STRs (D3S1358, vWA, FGA, D5S818, D13S317 and D7S820) were selected as genetic markers. STR data of Zhuang (Yangshuo) and Yao(Wantian) were genotyped from blood samples by ABI377 sequencer. STR data of another 12 ethnic groups in Guangxi were collected from publications. Hardy-Weinberg equilibrium was evaluated and H, PIC, DP and PPE were computed. The genetic distances between different populations were calculated using Nei's method and clustering analysis was done by average linkage between the groups. We drew their phylogenetic tree using UPGMA.
RESULTS: The alleles of 6 STRs in the 15 populations of Guangxi conformed with Hardy-Weinberg equilibrium. H was distributed in 0.6482-0.9299; PIC in 0.5706-0.8662; DP in 0.8258-0.9706, and PPE in 0. 4215-0.9917. Genetic distance between Jing of Guangxi and Jing in Dongxing was minimum (0.0007) in the 15 populations, while genetic distance between Guangxi Gelao and Wantian Yao was maximal (0.2391). The phylogenetic tree was similar to the results of clustering analysis and all the 15 populations were clustered into 2 groups.
CONCLUSION: The results indicate that the H, PIC, DP and PPE of 6 STRs in the 15 Guangxi populations are comparatively high. There is gene flow in some groups, but several minorities are relatively separated.

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Year:  2004        PMID: 16114541

Source DB:  PubMed          Journal:  Zhong Nan Da Xue Xue Bao Yi Xue Ban        ISSN: 1672-7347


  1 in total

1.  Genetic variation and forensic efficiency of 30 indels for three ethnic groups in Guangxi: relationships with other populations.

Authors:  Weian Du; Chunlei Feng; Ting Yao; Cheng Xiao; Hongyan Huang; Weibin Wu; Linnan Zhu; Honghua Qiao; Chao Liu; Ling Chen
Journal:  PeerJ       Date:  2019-05-03       Impact factor: 2.984

  1 in total

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