Literature DB >> 21210742

Identifying contributors of DNA mixtures by means of quantitative information of STR typing.

Torben Tvedebrink1, Poul Svante Eriksen, Helle Smidt Mogensen, Niels Morling.   

Abstract

Estimating the weight of evidence in forensic genetics is often done in terms of a likelihood ratio, LR. The LR evaluates the probability of the observed evidence under competing hypotheses. Most often, probabilities used in the LR only consider the evidence from the genomic variation identified using polymorphic genetic markers. However, modern typing techniques supply additional quantitative data, which contain very important information about the observed evidence. This is particularly true for cases of DNA mixtures, where more than one individual has contributed to the observed biological stain. This article presents a method for including the quantitative information of short tandem repeat (STR) DNA mixtures in the LR. Also, an efficient algorithmic method for finding the best matching combination of DNA mixture profiles is derived and implemented in an on-line tool for two- and three-person DNA mixtures. Finally, we demonstrate for two-person mixtures how this best matching pair of profiles can be used in estimating the likelihood ratio using importance sampling. The reason for using importance sampling for estimating the likelihood ratio is the often vast number of combinations of profiles needed for the evaluation of the weight of evidence. Online tool is available at http://people.math.aau.dk/~tvede/dna/.

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Year:  2011        PMID: 21210742     DOI: 10.1089/cmb.2010.0055

Source DB:  PubMed          Journal:  J Comput Biol        ISSN: 1066-5277            Impact factor:   1.479


  2 in total

1.  Application of mixsep software package: Performance verification of male-mixed DNA analysis.

Authors:  Na Hu; Bin Cong; Tao Gao; Yu Chen; Junyi Shen; Shujin Li; Chunling Ma
Journal:  Mol Med Rep       Date:  2015-04-30       Impact factor: 2.952

2.  TrueAllele casework on Virginia DNA mixture evidence: computer and manual interpretation in 72 reported criminal cases.

Authors:  Mark W Perlin; Kiersten Dormer; Jennifer Hornyak; Lisa Schiermeier-Wood; Susan Greenspoon
Journal:  PLoS One       Date:  2014-03-25       Impact factor: 3.240

  2 in total

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