EuroForMix: An open source software based on a continuous model to evaluate STR DNA profiles from a mixture of contributors with artefacts

被引:184
作者
Bleka, Oyvind [1 ,2 ]
Storvik, Geir [2 ]
Gill, Peter [1 ,3 ]
机构
[1] Norwegian Inst Publ Hlth, Dept Forens Biol, Oslo, Norway
[2] Univ Oslo, Dept Math, Oslo, Norway
[3] Univ Oslo, Dept Forens Med, Oslo, Norway
关键词
Forensic statistics; STR DNA interpretation; Open-source software;
D O I
10.1016/j.fsigen.2015.11.008
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
We have released a software named EuroForMix to analyze STR DNA profiles in a user-friendly graphical user interface. The software implements a model to explain the allelic peak height on a continuous scale in order to carry out weight-of-evidence calculations for profiles which could be from a mixture of contributors. Through a properly parameterized model we are able to do inference on mixture proportions, the peak height properties, stutter proportion and degradation. In addition, EuroForMix includes models for allele drop-out, allele drop-in and sub-population structure. EuroForMix supports two inference approaches for likelihood ratio calculations. The first approach uses maximum likelihood estimation of the unknown parameters. The second approach is Bayesian based which requires prior distributions to be specified for the parameters involved. The user may specify any number of known and unknown contributors in the model, however we find that there is a practical computing time limit which restricts the model to a maximum of four unknown contributors. EuroForMix is the first freely open source, continuous model (accommodating peak height, stutter, drop-in, drop-out, population substructure and degradation), to be reported in the literature. It therefore serves an important purpose to act as an unrestricted platform to compare different solutions that are available. The implementation of the continuous model used in the software showed close to identical results to the R-package DNAmixtures, which requires a HUGIN Expert license to be used. An additional feature in EuroForMix is the ability for the user to adapt the Bayesian inference framework by incorporating their own prior information. (C) 2015 Elsevier Ireland Ltd. All rights reserved.
引用
收藏
页码:35 / 44
页数:10
相关论文
共 15 条
  • [1] PENDULUM - a guideline-based approach to the interpretation of STR mixtures
    Bill, M
    Gill, P
    Curran, J
    Clayton, T
    Pinchin, R
    Healy, M
    Buckleton, J
    [J]. FORENSIC SCIENCE INTERNATIONAL, 2005, 148 (2-3) : 181 - 189
  • [2] Buckleton J, 2005, FORENSIC DNA EVIDENCE INTERPRETATION, P275
  • [3] Buckleton J., 2005, FORENSIC DNA EVIDENC, P21
  • [4] A gamma model for DNA mixture analyses
    Cowell, R. G.
    Lauritzen, S. L.
    Mortera, J.
    [J]. BAYESIAN ANALYSIS, 2007, 2 (02): : 333 - 348
  • [5] Identification and separation of DNA mixtures using peak area information
    Cowell, R. G.
    Lauritzen, S. L.
    Mortera, J.
    [J]. FORENSIC SCIENCE INTERNATIONAL, 2007, 166 (01) : 28 - 34
  • [6] Analysis of forensic DNA mixtures with artefacts
    Cowell, R. G.
    Graversen, T.
    Lauritzen, S. L.
    Mortera, J.
    [J]. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, 2015, 64 (01) : 1 - 48
  • [7] Interpretation of repeat measurement DNA evidence allowing for multiple contributors and population substructure
    Curran, JM
    Gill, P
    Bill, MR
    [J]. FORENSIC SCIENCE INTERNATIONAL, 2005, 148 (01) : 47 - 53
  • [8] Graversen T, 2015, STAT COMPUT, V25, P527, DOI 10.1007/s11222-014-9451-7
  • [9] Johnson S.G., 2013, cubature: Adaptive multivariate integration over hypercubes
  • [10] Validating TrueAllele® DNA Mixture Interpretation
    Perlin, Mark W.
    Legler, Matthew M.
    Spencer, Cara E.
    Smith, Jessica L.
    Allan, William P.
    Belrose, Jamie L.
    Duceman, Barry W.
    [J]. JOURNAL OF FORENSIC SCIENCES, 2011, 56 (06) : 1430 - 1447