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000138304 0247_ $$2doi$$a10.1371/journal.pone.0145152
000138304 0247_ $$2pmid$$apmid:26716445
000138304 0247_ $$2pmc$$apmc:PMC4696844
000138304 037__ $$aDZNE-2020-04626
000138304 041__ $$aEnglish
000138304 082__ $$a610
000138304 1001_ $$aHecker, Julian$$b0
000138304 245__ $$aOn the Recombination Rate Estimation in the Presence of Population Substructure.
000138304 260__ $$aSan Francisco, California, US$$bPLOS$$c2015
000138304 264_1 $$2Crossref$$3online$$bPublic Library of Science (PLoS)$$c2015-12-30
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000138304 520__ $$aAs recombination events are not uniformly distributed along the human genome, the estimation of fine-scale recombination maps, e.g. HapMap Project, has been one of the major research endeavors over the last couple of years. For simulation studies, these estimates provide realistic reference scenarios to design future study and to develop novel methodology. To achieve a feasible framework for the estimation of such recombination maps, existing methodology uses sample probabilities for a two-locus model with recombination, with recent advances allowing for computationally fast implementations. In this work, we extend the existing theoretical framework for the recombination rate estimation to the presence of population substructure. We show under which assumptions the existing methodology can still be applied. We illustrate our extension of the methodology by an extensive simulation study.
000138304 536__ $$0G:(DE-HGF)POF3-345$$a345 - Population Studies and Genetics (POF3-345)$$cPOF3-345$$fPOF III$$x0
000138304 542__ $$2Crossref$$i2015-12-30$$uhttp://creativecommons.org/licenses/by/4.0/
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000138304 650_2 $$2MeSH$$aComputer Simulation
000138304 650_2 $$2MeSH$$aGenetics, Population: methods
000138304 650_2 $$2MeSH$$aGenome, Human: genetics
000138304 650_2 $$2MeSH$$aHapMap Project
000138304 650_2 $$2MeSH$$aHumans
000138304 650_2 $$2MeSH$$aModels, Genetic
000138304 650_2 $$2MeSH$$aRecombination, Genetic: genetics
000138304 650_2 $$2MeSH$$aRegression Analysis
000138304 7001_ $$aProkopenko, Dmitry$$b1
000138304 7001_ $$0P:(DE-2719)9000181$$aLange, Christoph$$b2$$udzne
000138304 7001_ $$aFier, Heide Löhlein$$b3
000138304 77318 $$2Crossref$$3journal-article$$a10.1371/journal.pone.0145152$$b : Public Library of Science (PLoS), 2015-12-30$$n12$$pe0145152$$tPLOS ONE$$v10$$x1932-6203$$y2015
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000138304 8564_ $$uhttps://journals.plos.org/plosone/article?id=10.1371/journal.pone.0145152
000138304 8567_ $$2Pubmed Central$$uhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC4696844
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