Data on likelihood ratios of two-person DNA mixtures interpreted using semi- and fully continuous systems
Jae Joseph Russell B. Rodriguez,
Jo-Anne Bright,
Jazelyn M. Salvador,
Rita P. Laude,
Maria Corazon A. De Ungria
Affiliations
Jae Joseph Russell B. Rodriguez
DNA Analysis Laboratory, Natural Sciences Research Institute, College of Science, University of the Philippines Diliman, Quezon City, 1101, Philippines; Genetics and Molecular Biology Division, Institute of Biological Sciences, College of Arts and Sciences, University of the Philippines Los Baños, Laguna, 4031, Philippines
Jo-Anne Bright
Institute of Environmental Science and Research Ltd., Mt. Albert Science Centre, Auckland, New Zealand
Jazelyn M. Salvador
DNA Analysis Laboratory, Natural Sciences Research Institute, College of Science, University of the Philippines Diliman, Quezon City, 1101, Philippines
Rita P. Laude
Genetics and Molecular Biology Division, Institute of Biological Sciences, College of Arts and Sciences, University of the Philippines Los Baños, Laguna, 4031, Philippines
Maria Corazon A. De Ungria
DNA Analysis Laboratory, Natural Sciences Research Institute, College of Science, University of the Philippines Diliman, Quezon City, 1101, Philippines; Corresponding author.
In the paper, “Probabilistic approaches to interpreting two-person DNA mixtures from post-coital specimens” [1], we analysed 102 two-person DNA samples from simulated mixtures and male-female and male-male post-coital specimens. We report here data on profile characteristics of these samples and likelihood ratios (LRs) generated using semi- and fully continuous systems. Both log10 LRs from true and non-contributor tests are presented. These data may supplement studies comparing performance of different probabilistic systems for DNA evidence interpretation. Keywords: DNA mixtures, Likelihood ratios, Post-coital samples, Continuous systems, Probabilistic systems
