The full text of this paper is freely available from UKPMC and can be accessed at: http://ukpmc.ac.uk/abstract/MED/19584067/reload=0;jsessionid=36DC7923B431785C62EC2EC628E92BE2.jvm4. The published version is available at http://bioinformatics.oxfordjournals.org/cgi/content/abstract/25/18/2376 , doi:10.1093/bioinformatics/btp418Motivation: Family relationships can be estimated from DNA marker\ud data. Applications arise in a large number of areas including evolution\ud and conservation research, genealogical research in human, plant\ud and animal populations, forensic problems and genetic mapping\ud via linkage and association analyses. Traditionally, likelihood-based\ud approaches to relationship estimation have used unlinked genetic\ud markers. Due to the fact that some relationships cannot be\ud distinguished from data at unlinked markers, and given the limited\ud number of such markers available, there are considerable constraints\ud on the type of identification problem that can be satisfactorily\ud addressed with such approaches. The aim of this paper is to\ud explore the potential of linked autosomal SNP markers in this context.\ud Throughout, we will view the problem of relationship estimation\ud as one of pedigree identification rather than identity-by-descent,\ud and thus focus on applications where determination of the exact\ud relationship is important.\ud Results: We show that the increase in information obtained by\ud exploiting large sets of linked markers substantially increases the\ud number of problems that can be solved. Results are presented based\ud on simulations as well as on real data
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