Investigating contributors of the mixed DNA samples by forensic bioinformatics; uncertainty to certainty for crime laboratories

Amit Kumar, Sharda Awadhanam, Amita Kashyap
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引用次数: 4

Abstract

Evidences from the crime scene inculcating mixed DNA profiling data has always been a challenge to the forensic science laboratories and the crime investigation agencies. Not only it confuses the analysis but it may lead to serious fatal errors in analysis of final results which may result in convicting an innocent and quittance of a criminal free. 16 STR markers have become one of the most widely used genomic markers for identity testing and gene mapping due to their high degree of heterozygosity. We introduce forensic bioinformatics approach which proved to be very quick, precise and conclusive in assessment and analysis of the raw DNA profiling data provided from the laboratory. In the present study, we have discussed the utility of forensic bioinformatics application to Short tandem repeat (STR) data in a theft and looting case which was used to evaluate specific regions (loci) within nuclear DNA. The analysis was made through an “MS-Excel database management tool” where the DNA Profiling data provided by the Forensic Laboratory was managed and analyzed on the grounds of the various loci present and their variability in different individuals. We have incorporated the same universal concept “Variability in STR regions can be used to distinguish one DNA profile from another”.
用法医生物信息学方法调查混合DNA样本的贡献者;从犯罪实验室的不确定性到确定性
犯罪现场证据混杂的DNA分析数据一直是法医学实验室和犯罪调查机构面临的挑战。它不仅使分析混乱,而且可能导致对最终结果的分析出现严重的致命错误,从而可能导致无辜者被定罪,罪犯被无罪释放。16 STR标记由于其高度的杂合性,已成为最广泛用于身份检测和基因定位的基因组标记之一。我们引入法医生物信息学方法,该方法在评估和分析实验室提供的原始DNA分析数据时被证明是非常快速、精确和结论性的。在本研究中,我们讨论了法医生物信息学应用于盗窃和抢劫案件中的短串联重复序列(STR)数据的实用性,该数据用于评估核DNA中的特定区域(位点)。分析是通过“MS-Excel数据库管理工具”进行的,法医化验所提供的DNA分析数据是根据存在的各种位点及其在不同个体中的差异进行管理和分析的。我们采用了相同的通用概念“STR区域的可变性可以用来区分一种DNA图谱”。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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