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Electrophoresis. 2017 Apr;38(8):1154-1162. doi: 10.1002/elps.201600379. Epub 2017 Feb 23.

Developing a new nonbinary SNP fluorescent multiplex detection system for forensic application in China.

Author information

1
Department of Forensic Science, School of Basic Medical Sciences, Central South University, Changsha, P.R. China.
2
Department of Oral and Maxillofacial Surgery, Xiangya Stomatological Hospital, Central South University, Changsha, P.R. China.
3
Research Center of Carcinogenesis and Targeted Therapy, Xiangya Hospital, Central South University, Changsha, P.R. China.

Abstract

Nonbinary single-nucleotide polymorphisms (SNPs) are potential forensic genetic markers because their discrimination power is greater than that of normal binary SNPs, and that they can detect highly degraded samples. We previously developed a nonbinary SNP multiplex typing assay. In this study, we selected additional 20 nonbinary SNPs from the NCBI SNP database and verified them through pyrosequencing. These 20 nonbinary SNPs were analyzed using the fluorescent-labeled SNaPshot multiplex SNP typing method. The allele frequencies and genetic parameters of these 20 nonbinary SNPs were determined among 314 unrelated individuals from Han populations from China. The total power of discrimination was 0.9999999999994, and the cumulative probability of exclusion was 0.9986. Moreover, the result of the combination of this 20 nonbinary SNP assay with the 20 nonbinary SNP assay we previously developed demonstrated that the cumulative probability of exclusion of the 40 nonbinary SNPs was 0.999991 and that no significant linkage disequilibrium was observed in all 40 nonbinary SNPs. Thus, we concluded that this new system consisting of new 20 nonbinary SNPs could provide highly informative polymorphic data which would be further used in forensic application and would serve as a potentially valuable supplement to forensic DNA analysis.

KEYWORDS:

F-statistic; Forensic genetics; Nonbinary single nucleotide polymorphisms; Pyrosequencing; SNaPshot

PMID:
28168762
DOI:
10.1002/elps.201600379
[Indexed for MEDLINE]

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