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Selection of 29 highly informative InDel markers for human identification and paternity analysis in Chinese Han population by the SNPlex genotyping system

Authors
  • Li, Chengtao1
  • Zhang, Suhua1
  • Li, Li1
  • Chen, Jingzhong2
  • Liu, Yan1
  • zhao, Shumin1
  • 1 Ministry of Justice, PR China, Shanghai Key Laboratory of Forensic Medicine, Institute of Forensic Sciences, Shanghai, 200063, People’s Republic of China , Shanghai (China)
  • 2 School of Life Sciences, Fudan University, State Key Laboratory of Genetic Engineering, Institute of Genetics, Shanghai, 200433, People’s Republic of China , Shanghai (China)
Type
Published Article
Journal
Molecular Biology Reports
Publisher
Springer-Verlag
Publication Date
Jun 18, 2011
Volume
39
Issue
3
Pages
3143–3152
Identifiers
DOI: 10.1007/s11033-011-1080-z
Source
Springer Nature
Keywords
License
Yellow

Abstract

The interest of forensic researchers in single nucleotide polymorphism (SNP) has been attracted because of its potential advantages, such as low mutation rates, amenable to high-throughput automated platform and the improved application in the analysis of degraded samples. In this paper, 29 highly informative insertion/deletion (InDel, a special kind of SNP) markers were selected from the dbSNP (http://www.ncbi.nlm.nih.gov/SNP/) according to the given criteria. 109 unrelated Chinese Han subjects were genotyped for the 29 InDels with SNPlex genotyping system. The allele frequency data revealed that the combined power of discrimination for the 29 InDel markers was 0.999999999990867 and the combined probability of paternity exclusion (PE) was 0.9930. Sensitivity studies were performed to evaluate the flexibility of the SNPlex genotyping system on the set of 29 InDels. Highly reproducible results could be obtained with 40–100 ng genomic DNA and the proportion of total allele drop-in was significantly increased when the amount of DNA added to PCR was lower than 35 ng. These results suggested that the set of 29 InDels was useful in paternity analysis or human identification in the future.

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