title: Simulation of Y-chromosomal haplotype data.
abstract: The non-recombining nature of the Y-chromosome determines the non-independence of alleles between loci. The evolution of short tandem repeat (STR) loci in the Y-chromosome is the result of different factors such as differential mutation rates, mutation modes, gene conversion, selection and demographic processes. The degree of correlation between loci is dependent on the magnitude of these processes. The simulation of data is a routine tool used for testing hypotheses in population and evolutionary studies. The most basic parameters hitherto used in lineage haplotype simulations are the allele frequency distributions and mutation rates, assuming either full independence or linkage between loci. In this study we introduce use of the Spearman correlation coefficient to estimate the degree of dependence between non-recombining loci. Then, both the interdependence between loci and the allele frequency distributions at multi-allelic loci are incorporated in an algorithm for simulating haplotypes. We illustrate the method using published and unpublished Y-chromosome STR data.
authors.affiliation: Department of Statistics, University of the Western Cape, Cape, South Africa. ckoen@uwc.ac.za
authors.forename: C
authors.initials: C
authors.lastname: Koen
authors.forename: M E
authors.initials: ME
authors.lastname: D'Amato
mesh_terms: D000465:Algorithms; D041322:Chromosomes, Human, Y / Q000235:genetics*; D003198:Computer Simulation; D019143:Evolution, Molecular; D005787:Gene Frequency / Q000235:genetics; D005828:Genetics, Population / Q000379:methods; D006239:Haplotypes / Q000235:genetics*; D006801:Humans; D008297:Male; D018895:Microsatellite Repeats / Q000235:genetics; D008957:Models, Genetic; D018709:Statistics, Nonparametric; D013548:Sweden