2017
DOI: 10.1016/j.fsigen.2017.08.001
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Open source software EuroForMix can be used to analyse complex SNP mixtures

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Cited by 41 publications
(37 citation statements)
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“…Only under rare scenarios is it possible to derive EVC and BGA information reliably from mixed DNA samples. However, for the sake of completeness and because mixture detection in SNP panels, and particularly in EVC and BGA panels, has been previously described and published [20,21,25,41], this study was included in the validation. It is based on the fluctuation of allele frequencies and increase of heterozygosity values that indicate the presence of additional contributors.…”
Section: Concordance and Mixturesmentioning
confidence: 99%
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“…Only under rare scenarios is it possible to derive EVC and BGA information reliably from mixed DNA samples. However, for the sake of completeness and because mixture detection in SNP panels, and particularly in EVC and BGA panels, has been previously described and published [20,21,25,41], this study was included in the validation. It is based on the fluctuation of allele frequencies and increase of heterozygosity values that indicate the presence of additional contributors.…”
Section: Concordance and Mixturesmentioning
confidence: 99%
“…Mixture detection using binary markers is challenging, but has been successfully achieved in previous forensic MPS studies [20,21,25,41,43]. The basis for mixture detection with such markers is the ratio of allele read frequencies observed when more than one contributor is present.…”
Section: Mixturesmentioning
confidence: 99%
“…With Nitz, betting on the wrong number of contributors does not necessarily result in lower LRs. So the rule of three invoked by Bleka et al [36] has limited application with NITZ.…”
Section: Discussionmentioning
confidence: 99%
“…The importance of the whole issue is directly proportional to the impact the value of n may have over the LR values. Bleka et al 2017 [36] have explored this issue by simulating 100 mixtures with two to up to six virtual contributors and calculated likelihoods at various quantitative POI proportions to the POI. They found that, when the POI is not quantitatively predominant, their two-person mixture model of analysis would return them higher LRs compared to the three-or more-person .…”
Section: Number Of Contributorsmentioning
confidence: 99%
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