| Title |
Forensic molecular genetic diversity analysis of Chinese Hui ethnic group based on a novel STR panel
|
|---|---|
| Published in |
International Journal of Legal Medicine, March 2018
|
| DOI | 10.1007/s00414-018-1829-1 |
| Pubmed ID | |
| Authors |
Yating Fang, Yuxin Guo, Tong Xie, Xiaoye Jin, Qiong Lan, Yongsong Zhou, Bofeng Zhu |
| Abstract |
In present study, the genetic polymorphisms of 22 autosomal short tandem repeat (STR) loci were analyzed in 496 unrelated Chinese Xinjiang Hui individuals. These autosomal STR loci were multiplex amplified and genotyped based on a novel STR panel. There were 246 observed alleles with the allele frequencies ranging from 0.0010 to 0.3609. All polymorphic information content values were higher than 0.7. The combined power of discrimination and the combined probability of exclusion were 0.999999999999999999999999999426766 and 0.999999999860491, respectively. Based on analysis of molecular variance method, genetic differentiation analysis between the Xinjiang Hui and other reported groups were conducted at these 22 loci. The results indicated that there were no significant differences in statistics between Hui group and Northern Han group (including Han groups from Hebei, Henan, Shaanxi provinces), and significant deviations with Southern Han group (including those from Guangdong, Guangxi provinces) at 7 loci, and Uygur group at 10 loci. To sum up, these 22 autosomal STR loci were high genetic polymorphic in Xinjiang Hui group. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 1 | 14% |
| Librarian | 1 | 14% |
| Student > Ph. D. Student | 1 | 14% |
| Student > Postgraduate | 1 | 14% |
| Unknown | 3 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 2 | 29% |
| Biochemistry, Genetics and Molecular Biology | 1 | 14% |
| Medicine and Dentistry | 1 | 14% |
| Unknown | 3 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 August 2018.
All research outputs
#15,495,840
of 23,028,364 outputs
Outputs from International Journal of Legal Medicine
#974
of 2,089 outputs
Outputs of similar age
#210,834
of 330,380 outputs
Outputs of similar age from International Journal of Legal Medicine
#22
of 59 outputs
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