Abstract
Discrete Laplace mixture model with applications in forensic genetics
Highlights
Estimating haplotype frequencies is important in e.g. forensic genetics, where the frequencies are used to calculate the likelihood ratio for the evidential weight of a DNA profile found at a crime scene (Andersen, Eriksen, and Morling 2013; Steele and Balding 2015)
Estimation is naturally based on a population model, motivating the investigation of the Fisher-Wright model (Fisher 1930; Wright 1931; Ewens 1972; Ohta and Kimura 1973) of evolution for haploid lineage DNA markers
An exponential family called the ‘discrete Laplace distribution’ was described in (Andersen, Eriksen, and Morling 2013) that illustrates how well the discrete Laplace distribution approximates a more complicated distribution that arises by investigating the well-known population genetic Fisher-Wright model of evolution by a single-step mutation process (Caliebe et al 2010)
Summary
(and still are) used by multiple groups for e.g. frequency estimation (Andersen, Eriksen, and Morling 2013; S Willuweit and Roewer 2015; S. Willuweit et al 2018; Roewer and Willuweit 2018; Egeland, Kling, and Mostad 2016; Cereda et al 2014; Cereda ative Commons Attribution 4.0 In- 2017), cluster analysis (Andersen, Eriksen, and Morling 2014), and mixture interpretation ternational License (CC-BY). (and still are) used by multiple groups for e.g. frequency estimation Willuweit et al 2018; Roewer and Willuweit 2018; Egeland, Kling, and Mostad 2016; Cereda et al 2014; Cereda ative Commons Attribution 4.0 In- 2017), cluster analysis (Andersen, Eriksen, and Morling 2014), and mixture interpretation ternational License (CC-BY).
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
