Genetic mapping of 15 human X chromosomal forensic short tandem repeat (STR) loci by means of multi-core parallelization.

Diegoli, T. M., Rohde, H., Borowski, S., Krawczak, Michael, Coble, M. D. and Nothnagel, M. (2016) Genetic mapping of 15 human X chromosomal forensic short tandem repeat (STR) loci by means of multi-core parallelization. Forensic Science International: Genetics, 25 . pp. 39-44. DOI 10.1016/j.fsigen.2016.07.004.

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Abstract

Typing of X chromosomal short tandem repeat (X STR) markers has become a standard element of human forensic genetic analysis. Joint consideration of many X STR markers at a time increases their discriminatory power but, owing to physical linkage, requires inter-marker recombination rates to be accurately known. We estimated the recombination rates between 15 well established X STR markers using genotype data from 158 families (1041 individuals) and following a previously proposed likelihoodbased approach that allows for single-step mutations. To meet the computational requirements of this family-based type of analysis, we modified a previous implementation so as to allow multi-core parallelization on a high-performance computing system. While we obtained recombination rate estimates larger than zero for all but one pair of adjacent markers within the four previously proposed linkage groups, none of the three X STR pairs defining the junctions of these groups yielded a recombination rate estimate of 0.50. Corroborating previous studies, our results therefore argue against a simple model of independent X chromosomal linkage groups. Moreover, the refined recombination fraction estimates obtained in our study will facilitate the appropriate joint consideration of all 15 investigated markers in forensic analysis. (C) 2016 Elsevier Ireland Ltd. All rights reserved.

Document Type: Article
Additional Information: Times Cited: 1 Diegoli, Toni Marie Rohde, Heinrich Borowski, Stefan Krawczak, Michael Coble, Michael D. Nothnagel, Michael
Keywords: X chromosome, Genetic linkage, Genetic mapping, Short tandem repeat, Forensic analysis, High performance computing
Research affiliation: Kiel University
OceanRep > The Future Ocean - Cluster of Excellence
Refereed: Yes
Open Access Journal?: No
DOI etc.: 10.1016/j.fsigen.2016.07.004
ISSN: 1872-4973
Projects: Future Ocean
Date Deposited: 01 Mar 2017 08:51
Last Modified: 23 Sep 2019 22:16
URI: http://oceanrep.geomar.de/id/eprint/36051

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