TY - JOUR
T1 - A review of probabilistic genotyping systems
T2 - EuroForMix, DNAStatistX and STRmix™
AU - Gill, Peter
AU - Benschop, Corina
AU - Buckleton, John
AU - Bleka, Øyvind
AU - Taylor, Duncan
PY - 2021/10
Y1 - 2021/10
N2 - 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.
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.
KW - DNAStatistX
KW - EuroForMix
KW - Probabilistic genotyping
KW - STRmix™
UR - http://www.scopus.com/inward/record.url?scp=85117058030&partnerID=8YFLogxK
U2 - 10.3390/genes12101559
DO - 10.3390/genes12101559
M3 - Article
AN - SCOPUS:85117058030
SN - 2073-4425
VL - 12
JO - Genes
JF - Genes
IS - 10
M1 - 1559
ER -