Robust detection of individual forensic profiles in DNA mixtures

Autor:	Johanna Bobrow, Brian S. Helfer, Christina Zook, Darrell O. Ricke, Martha S. Petrovick, Eric Schwoebel, Anna Shcherbina, James Harper, J. Isaacson, Tara Boettcher, Edward C. Wack
Rok vydání:	2015
Předmět:	Forensic Genetics Genetics Monte Carlo method Single-nucleotide polymorphism DNA Biology Polymorphism Single Nucleotide Pathology and Forensic Medicine Forensic identification Range (statistics) Humans Statistical physics Alleles Probability
Zdroj:	Forensic Science International: Genetics. 14:31-37
ISSN:	1872-4973
DOI:	10.1016/j.fsigen.2014.09.003
Popis:	For a forensic identification method to be admissible in international courts, the probability of false match must be quantified. For comparison of individuals against complex mixtures using a panel of single nucleotide polymorphisms (SNPs), the probability of a random man not excluded, P(RMNE) is one admissible standard. While the P(RMNE) of SNP alleles has been previously studied, it remains to be rigorously defined and calculated for experimentally genotyped mixtures. In this report, exact P(RMNE) values were calculated for a range of complex mixtures, verified with Monte Carlo simulations, and compared alongside experimentally determined detection probabilities.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5794ea8b2ac40ed5dbee001ae98d23d https://doi.org/10.1016/j.fsigen.2014.09.003 Zobrazit plný text záznamu Full Text from ScienceDirect