Literature DB >> 29460612

SNPs and STRs in forensic medicine. A strategy for kinship evaluation.

Lurdes Pontes, José Carneiro de Sousa, Rui Medeiros.   

Abstract

Some emerging technologies are used as strategies for the analyses of single nucleotide polymorphisms (SNPs) that have attracted much interest in recent years, applied to various scientific areas. They have been extensively used as markers to identify genes that underlie complex diseases and also to realize the potential of pharmacogenomics in relation to different drug responses. Additionally, SNPs have been shown to be very useful in forensic genetics resolving all kinds of legal problems, namely crime cases, disaster victim identification and paternity and kinship investigation testing. The low mutation rate of SNPs, makes these markers very suitable for relationship testing. In the great majority of the cases, analyses with the widely used sets of STR markers provide powerful statistical evidence but some of them remain with ambiguous results. Those include cases with complex pedigrees or cases with some problems, like mutations, that are inherent to the use of STRs. At this time several forensic laboratories are using SNPs especially to complement the study of STRs in some of their casework cases. This paper intends to analyze some of our casework examples and to providea data update on the joint use of STRs and autosomal SNPs in the evaluation and kinship calculation, one of the strategies currently used for this purpose, namely reviewing and comparing results published by various working groups.

Keywords:  SNPforID; forensic genetics; human identification; mutation; single nucleotide polymorphisms; legal medicine

Mesh:

Year:  2017        PMID: 29460612     DOI: 10.5114/amsik.2017.73194

Source DB:  PubMed          Journal:  Arch Med Sadowej Kryminol        ISSN: 0324-8267


  1 in total

1.  Evaluation and SNP typing of DNA from ultraviolet-irradiated human bloodstains using TaqMan assay.

Authors:  Jian Tie; Seisaku Uchigasaki; Eiji Isobe
Journal:  Sci Rep       Date:  2021-04-13       Impact factor: 4.379

  1 in total

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