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Expected net gain data of low-template DNA analyses

Low-template DNA analyses are affected by stochastic effects which can produce a configuration of peaks in the electropherogram (EPG) that is different from the genotype of the DNA׳s donor. A probabilistic and decision-theoretic model can quantify the expected net gain (ENG) of performing a DNA anal...

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Detalles Bibliográficos
Autores principales: Gittelson, Simone, Steffen, Carolyn R., Coble, Michael D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4909832/
https://www.ncbi.nlm.nih.gov/pubmed/27331117
http://dx.doi.org/10.1016/j.dib.2016.05.059
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author Gittelson, Simone
Steffen, Carolyn R.
Coble, Michael D.
author_facet Gittelson, Simone
Steffen, Carolyn R.
Coble, Michael D.
author_sort Gittelson, Simone
collection PubMed
description Low-template DNA analyses are affected by stochastic effects which can produce a configuration of peaks in the electropherogram (EPG) that is different from the genotype of the DNA׳s donor. A probabilistic and decision-theoretic model can quantify the expected net gain (ENG) of performing a DNA analysis by the difference between the expected value of information (EVOI) and the cost of performing the analysis. This article presents data on the ENG of performing DNA analyses of low-template DNA for a single amplification, two replicate amplifications, and for a second replicate amplification given the result of a first analysis. The data were obtained using amplification kits AmpFlSTR Identifiler Plus and Promega׳s PowerPlex 16 HS, an ABI 3130xl genetic sequencer, and Applied Biosystem׳s GeneMapper ID-X software. These data are supplementary to an original research article investigating whether a forensic DNA analyst should perform a single DNA analysis or two replicate analyses from a decision-theoretic point of view, entitled “Low-template DNA: a single DNA analysis or two replicates?” (Gittelson et al., 2016) [1].
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spelling pubmed-49098322016-06-21 Expected net gain data of low-template DNA analyses Gittelson, Simone Steffen, Carolyn R. Coble, Michael D. Data Brief Data Article Low-template DNA analyses are affected by stochastic effects which can produce a configuration of peaks in the electropherogram (EPG) that is different from the genotype of the DNA׳s donor. A probabilistic and decision-theoretic model can quantify the expected net gain (ENG) of performing a DNA analysis by the difference between the expected value of information (EVOI) and the cost of performing the analysis. This article presents data on the ENG of performing DNA analyses of low-template DNA for a single amplification, two replicate amplifications, and for a second replicate amplification given the result of a first analysis. The data were obtained using amplification kits AmpFlSTR Identifiler Plus and Promega׳s PowerPlex 16 HS, an ABI 3130xl genetic sequencer, and Applied Biosystem׳s GeneMapper ID-X software. These data are supplementary to an original research article investigating whether a forensic DNA analyst should perform a single DNA analysis or two replicate analyses from a decision-theoretic point of view, entitled “Low-template DNA: a single DNA analysis or two replicates?” (Gittelson et al., 2016) [1]. Elsevier 2016-05-30 /pmc/articles/PMC4909832/ /pubmed/27331117 http://dx.doi.org/10.1016/j.dib.2016.05.059 Text en http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Gittelson, Simone
Steffen, Carolyn R.
Coble, Michael D.
Expected net gain data of low-template DNA analyses
title Expected net gain data of low-template DNA analyses
title_full Expected net gain data of low-template DNA analyses
title_fullStr Expected net gain data of low-template DNA analyses
title_full_unstemmed Expected net gain data of low-template DNA analyses
title_short Expected net gain data of low-template DNA analyses
title_sort expected net gain data of low-template dna analyses
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4909832/
https://www.ncbi.nlm.nih.gov/pubmed/27331117
http://dx.doi.org/10.1016/j.dib.2016.05.059
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