Evaluation of ten SNP Markers for Human Identification and Paternity Analysis in Persian Population

Document Type : Brief Report

Authors

1 Human Genetic Research Center, Baqiatallah University of Medical Sciences, Tehran, Iran

2 Department of Genetics, Faculty of Sciences, Persian Gulf University, Bushehr, Iran

3 Department of Genetics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran

Abstract

Background: DNA markers are inevitable tools of human identification in forensic science. Single Nucleotide Polymorphisms (SNPs) are one category of these markers which is concerned to use especially in the case of degraded DNA because of their short amplicons.
Objectives: Detection of highly informative SNPs by the criteria is the essential step to develop a useful panel of SNP markers. The purpose of this work is to get high informative SNPs for human identification in Persian ethnic of the Iranian population.
Material and Methods: Genotype and allele frequencies of 10 SNPs from the SNPforID browser were determined by a PCR-RFLP method on 100 samples that was taken from 100 unrelated Persian people.
Results: These ten SNPs were in Hardy-Weinberg equilibrium (P value > 0.1) except rs1355366 (P value = 0.02) and Heterozygosity of seven SNPs is greater than 0.45 but minor allele frequency of only four SNPs is more than 0.45. According to criteria only three SNPs rs1454361, rs2111980 and rs2107612 can pass all standards and are highly informative in population for forensic uses.
Conclusions: Our data showed that the CPI (Combined probability of Identity) and CPE (Combined Power of Exclusion) for ten SNPs are 1.13 E-04 and 0.809 respectively. It was also showed based on the criteria only three SNPs (rs2107612, rs1454361 and rs2111980) are highly informative in Persian population. If we can find 39 SNPs with PE and PI close to PE and PI of these three SNPs (rs2107612, rs1454361 and rs2111980), we will be able to use of these 39 SNPs in human identification with sufficient power of discrimination.

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Main Subjects

References

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Iranian Journal of Biotechnology
Volume 17, Issue 3
September 2019
Pages 68-71

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