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

Content Provider	Springer Nature Link
Author	Li, Chengtao Zhang, Suhua Li, Li Chen, Jingzhong Liu, Yan zhao, Shumin
Copyright Year	2011
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.
Starting Page	3143
Ending Page	3152
Page Count	10
File Format	PDF
ISSN	03014851
Journal	Molecular Biology Reports
Volume Number	39
Issue Number	3
e-ISSN	15734978
Language	English
Publisher	Springer Netherlands
Publisher Date	2011-06-18
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Single nucleotide polymorphism (SNP) Insertion/deletion marker Forensic genetics Human identification Paternity analysis SNPlex genotyping system Chinese Han population Animal Biochemistry Animal Anatomy / Morphology / Histology
Content Type	Text
Resource Type	Article
Subject	Genetics Medicine Molecular Biology

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