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Forensic Features and Population Genetic Structure of Dong, Yi, Han, and Chuanqing Human Populations in Southwest China Inferred From Insertion/Deletion Markers
- Source :
- Frontiers in Genetics, Frontiers in Genetics, Vol 11 (2020)
- Publication Year :
- 2020
- Publisher :
- Frontiers Media S.A., 2020.
-
Abstract
- Guizhou province in southwest China has abundant genetic and cultural diversities, but the forensic features and genetic structure of Guizhou populations remain poorly understood due to the sparse sampling of present-day populations. Here, we present 30 insertion/deletion polymorphisms (InDels) data of 591 human individuals collected from four populations, Dong, Yi, Han, and Chuanqing residing in Guizhou. We calculated the forensic parameters of 30 InDel loci and found that this panel meets the efficiency of forensic personal identification based on the high combined power of discrimination, but it could only be used as a complementary tool in the parentage testing because of the lower combined probability of exclusion values. The studied populations are genetically closer related to geographically adjacent or linguistically related populations in southern China, such as the Tai-Kadai and Hmong-Mien speaking groups. The unrecognized ethnic Chuanqing people show an additional genetic affinity with Han Chinese, highlighting the role of possible military immigrations in their origin.
- Subjects :
- 0301 basic medicine
lcsh:QH426-470
Population
Ethnic group
Biology
Chuanqing human population
03 medical and health sciences
0302 clinical medicine
Genetics
Insertion deletion
China
education
Indel
Genetics (clinical)
Original Research
education.field_of_study
forensic genetics
InvestigatorĀ® DIPplex Kit
population structure
Guizhou human population
Forensic science
Dong human population
lcsh:Genetics
030104 developmental biology
Han human population
Evolutionary biology
030220 oncology & carcinogenesis
Genetic structure
Molecular Medicine
Identification (biology)
Yi human population
Subjects
Details
- Language :
- English
- ISSN :
- 16648021
- Volume :
- 11
- Database :
- OpenAIRE
- Journal :
- Frontiers in Genetics
- Accession number :
- edsair.doi.dedup.....3377567ecc8adb0bca2aaff63c87a3dd