Forensic DNA Mixtures, Approaches, and Analysis

2014 ◽  
pp. 216-231 ◽  
Keyword(s):  
Forensic Dna ◽  
Dna Mixtures

SNP-microarrays can accurately identify the presence of an individual in complex forensic DNA mixtures

2015 ◽  
Vol 16 ◽  
pp. 208-215 ◽  
Author(s):  
Lev Voskoboinik ◽  
Sheri B. Ayers ◽  
Aaron K. LeFebvre ◽  
Ariel Darvasi
Keyword(s):  
Forensic Dna ◽  
Dna Mixtures ◽  
Snp Microarrays

Estimating the Number of Contributors to Forensic DNA Mixtures: Does Maximum Likelihood Perform Better Than Maximum Allele Count?

2010 ◽  
Vol 56 (1) ◽  
pp. 23-28 ◽  
Author(s):  
Hinda Haned ◽  
Laurent Pène ◽  
Jean R. Lobry ◽  
Anne B. Dufour ◽  
Dominique Pontier
Keyword(s):  
Maximum Likelihood ◽  
Forensic Dna ◽  
Dna Mixtures ◽  
Allele Count ◽  
Better Than

scholarly journals Analysis of forensic DNA mixtures with artefacts

2014 ◽  
Vol 64 (1) ◽  
pp. 1-48 ◽  
Author(s):  
R. G. Cowell ◽  
T. Graversen ◽  
S. L. Lauritzen ◽  
J. Mortera
Keyword(s):  
Forensic Dna ◽  
Dna Mixtures

scholarly journals A signal model for forensic DNA mixtures

2014 ◽  
Author(s):  
Ullrich J. Monich ◽  
Catherine Grgicak ◽  
Viveck Cadambe ◽  
Jason Yonglin Wu ◽  
Genevieve Wellner ◽  
...  
Keyword(s):  
Forensic Dna ◽  
Dna Mixtures ◽  
Signal Model

scholarly journals The Plateau Method for Forensic DNA SNP Mixture Deconvolution

2017 ◽  
Author(s):  
Darrell O. Ricke ◽  
Joe Isaacson ◽  
James Watkins ◽  
Philip Fremont-Smith ◽  
Tara Boettcher ◽  
...  
Keyword(s):  
Short Tandem Repeats ◽  
Tandem Repeats ◽  
High Throughput Sequencing ◽  
Nucleotide Polymorphisms ◽  
Forensic Dna ◽  
Dna Mixtures ◽  
Single Nucleotide ◽  
Mixture Deconvolution ◽  
Dna Mixture ◽  
Short Tandem

AbstractIdentification of individuals in complex DNA mixtures remains a challenge for forensic analysts. Recent advances in high throughput sequencing (HTS) are enabling analysis of DNA mixtures with expanded panels of Short Tandem Repeats (STRs) and/or Single Nucleotide Polymorphisms (SNPs). We present the plateau method for direct SNP DNA mixture deconvolution into sub-profiles based on differences in contributors’ DNA concentrations in the mixtures in the absence of matching reference profiles. The Plateau method can detect profiles of individuals whose contribution is as low as 1/200 in a DNA mixture (patent pending)1.

A sequence-based 74plex microhaplotype assay for analysis of forensic DNA mixtures

2020 ◽  
Vol 49 ◽  
pp. 102367 ◽  
Author(s):  
Fabio Oldoni ◽  
Drew Bader ◽  
Chiara Fantinato ◽  
Sharon C. Wootton ◽  
Robert Lagacé ◽  
...  
Keyword(s):  
Forensic Dna ◽  
Dna Mixtures

DNA Mixtures in Forensic Investigations: The Statistical State of the Art

2020 ◽  
Vol 7 (1) ◽  
pp. 111-142
Author(s):  
Julia Mortera
Keyword(s):  
Rapid Change ◽  
Dna Amplification ◽  
Quantitative Information ◽  
Forensic Identification ◽  
Forensic Dna ◽  
Dna Mixtures ◽  
Considerable Uncertainty ◽  
Dna Evidence ◽  
Amplification Process ◽  
Multiple Samples

Forensic science has experienced a period of rapid change because of the tremendous evolution in DNA profiling. Problems of forensic identification from DNA evidence can become extremely challenging, both logically and computationally, in the presence of complicating features, such as in mixed DNA trace evidence. Additional complicating aspects are possible, such as missing data on individuals, heterogeneous populations, and kinship. In such cases, there is considerable uncertainty involved in determining whether or not the DNA of a given individual is actually present in the sample. We begin by giving a brief introduction to the genetic background needed for understanding forensic DNA mixtures, including the artifacts that commonly occur in the DNA amplification process. We then review different methods and software based on qualitative and quantitative information and give details on a quantitative method that uses Bayesian networks as a computational device for efficiently computing likelihoods. This method allows for the possibility of combining evidence from multiple samples to make inference about relationships from DNA mixtures and other more complex scenarios.

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