A review of probabilistic genotyping systems: EuroForMix, DNAStatistX  and STRmix™

Peter Gill; Corina Benschop; John Buckleton; Øyvind Bleka; Duncan Taylor

doi:10.3390/genes12101559

A review of probabilistic genotyping systems: EuroForMix, DNAStatistX and STRmix™

Peter Gill
, Corina Benschop
, John Buckleton
, Øyvind Bleka
, Duncan Taylor

College of Science and Engineering

Research output: Contribution to journal › Article › peer-review

59 Citations (Scopus)

116 Downloads (Pure)

Abstract

Probabilistic genotyping has become widespread. EuroForMix and DNAStatistX are both based upon maximum likelihood estimation using a γ model, whereas STRmix™ is a Bayesian approach that specifies prior distributions on the unknown model parameters. A general overview is provided of the historical development of probabilistic genotyping. Some general principles of interpretation are described, including: The application to investigative vs. evaluative reporting, detection of contamination events, inter and intra laboratory studies, numbers of contributors, proposition setting and validation of software and its performance. This is followed by details of the evolution, utility, practice and adoption of the software discussed.

Original language	English
Article number	1559
Number of pages	40
Journal	Genes
Volume	12
Issue number	10
DOIs	https://doi.org/10.3390/genes12101559
Publication status	Published - Oct 2021

Keywords

DNAStatistX
EuroForMix
Probabilistic genotyping
STRmix™

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10.3390/genes12101559Licence: CC BY

Published versionFinal published version, 2.9 MBLicence: CC BY

Cite this

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abstract = "Probabilistic genotyping has become widespread. EuroForMix and DNAStatistX are both based upon maximum likelihood estimation using a γ model, whereas STRmix{\texttrademark} is a Bayesian approach that specifies prior distributions on the unknown model parameters. A general overview is provided of the historical development of probabilistic genotyping. Some general principles of interpretation are described, including: The application to investigative vs. evaluative reporting, detection of contamination events, inter and intra laboratory studies, numbers of contributors, proposition setting and validation of software and its performance. This is followed by details of the evolution, utility, practice and adoption of the software discussed.",

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AU - Bleka, Øyvind

AU - Taylor, Duncan

PY - 2021/10

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AB - Probabilistic genotyping has become widespread. EuroForMix and DNAStatistX are both based upon maximum likelihood estimation using a γ model, whereas STRmix™ is a Bayesian approach that specifies prior distributions on the unknown model parameters. A general overview is provided of the historical development of probabilistic genotyping. Some general principles of interpretation are described, including: The application to investigative vs. evaluative reporting, detection of contamination events, inter and intra laboratory studies, numbers of contributors, proposition setting and validation of software and its performance. This is followed by details of the evolution, utility, practice and adoption of the software discussed.

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KW - EuroForMix

KW - Probabilistic genotyping

KW - STRmix™

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VL - 12

JO - Genes

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ER -

A review of probabilistic genotyping systems: EuroForMix, DNAStatistX and STRmix™

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Keywords

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