Literature DB >> 25280378

Robust detection of individual forensic profiles in DNA mixtures.

J Isaacson1, E Schwoebel2, A Shcherbina2, D Ricke2, J Harper2, M Petrovick2, J Bobrow2, T Boettcher2, B Helfer2, C Zook2, E Wack3.   

Abstract

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.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  DNA mixture; Random man not excluded (RMNE); Single nucleotide polymorphism (SNP)

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Year:  2014        PMID: 25280378     DOI: 10.1016/j.fsigen.2014.09.003

Source DB:  PubMed          Journal:  Forensic Sci Int Genet        ISSN: 1872-4973            Impact factor:   4.882


  2 in total

Review 1.  Separation/extraction, detection, and interpretation of DNA mixtures in forensic science (review).

Authors:  Ruiyang Tao; Shouyu Wang; Jiashuo Zhang; Jingyi Zhang; Zihao Yang; Xiang Sheng; Yiping Hou; Suhua Zhang; Chengtao Li
Journal:  Int J Legal Med       Date:  2018-05-25       Impact factor: 2.686

2.  Significance evaluation in factor graphs.

Authors:  Tobias Madsen; Asger Hobolth; Jens Ledet Jensen; Jakob Skou Pedersen
Journal:  BMC Bioinformatics       Date:  2017-03-31       Impact factor: 3.169

  2 in total

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