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Mass spectrometry-based SNP genotyping as a potential tool for ancestry inference and human identification in Chinese Han and Uygur populations
- Source :
- Science & Justice. 59:228-233
- Publication Year :
- 2019
- Publisher :
- Elsevier BV, 2019.
-
Abstract
- Ancestry informative SNPs (AISNPs) are genetic variants that exhibit substantially different frequencies between populations from different geographical regions; thus, they can provide some valuable information regarding samples and be used in predicting an individual's ancestry origin. In this study, we selected the potentially best SNPs from our previous study with genome-wide high-density SNP data in mainland Chinese Uygur and Han populations and investigated the allele distribution patterns and genetic information of AISNPs with a mass spectrometry-based SNP genotyping panel. Mass spectrometry-based detection technology offers the opportunity to analyze forensic DNA samples and obtain SNP variants with accuracy and ease. The panel can distinguish and cluster Han and Uygur populations and is suitable for human identification and parentage testing in the two populations. Heatmap, PCA, and Structure analyses indicated that the ideal 64 AISNPs can collectively provide additional information on differences among populations from East Asia, South Asia, Europe and Africa. Additionally, the results proved that the Uygur population is the admixture of East Asia and Europe.
- Subjects :
- China
Genotype
Genotyping Techniques
Population
Inference
Single-nucleotide polymorphism
Biology
Polymorphism, Single Nucleotide
01 natural sciences
White People
Pathology and Forensic Medicine
03 medical and health sciences
Forensic dna
0302 clinical medicine
Asian People
Gene Frequency
Ethnicity
Cluster Analysis
Humans
SNP
030216 legal & forensic medicine
Chinese han
education
Principal Component Analysis
education.field_of_study
010401 analytical chemistry
0104 chemical sciences
SNP genotyping
Genetics, Population
Evolutionary biology
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
Identification (biology)
Subjects
Details
- ISSN :
- 13550306
- Volume :
- 59
- Database :
- OpenAIRE
- Journal :
- Science & Justice
- Accession number :
- edsair.doi.dedup.....78a7571a6331b7085d1f82b92de53880
- Full Text :
- https://doi.org/10.1016/j.scijus.2019.01.006