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:: Volume 25, Issue 2 (3-2021) ::
Andishe 2021, 25(2): 23-40 Back to browse issues page
Bayesian approach to inference of population structure
Mehrdad Tamiji, S. Mahmoud Taheri *
Abstract:   (1559 Views)
Methods of inferring the population structure‎, ‎its applications in identifying disease models as well as foresighting the physical and mental situation of human beings have been finding ever-increasing importance‎. ‎In this article‎, ‎first‎, ‎motivation and significance of studying the problem of population structure is explained‎. ‎In the next section‎, ‎the applications of inference of population structure in biology and the treatment of various diseases are described‎. ‎Afterward‎, ‎the methods of inferring the population structure as well as detecting the disease model correspond to each subpopulation‎, ‎for populations whose members are admixture or not‎, ‎are described separately‎. ‎To this end‎, ‎the methods of inferring the population structure through the Bayesian approach are emphasized and the reasons for the superiority of Bayesian methods are illustrated‎.

Keywords: Population Stratification, Probabilistic Graphical Model, Bioinformatics, Genome-Wide Association Studies, Markov Chain, Admixture Populations
Full-Text [PDF 708 kb]   (571 Downloads)    
Type of Study: Research | Subject: Special
Received: 2020/12/2 | Accepted: 2021/03/17 | Published: 2021/03/18
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Tamiji M, Taheri S M. Bayesian approach to inference of population structure. Andishe 2021; 25 (2) :23-40
URL: http://andisheyeamari.irstat.ir/article-1-831-en.html

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Volume 25, Issue 2 (3-2021) Back to browse issues page
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