001     138304
005     20240321220417.0
024 7 _ |a 10.1371/journal.pone.0145152
|2 doi
024 7 _ |a pmid:26716445
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024 7 _ |a pmc:PMC4696844
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037 _ _ |a DZNE-2020-04626
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Hecker, Julian
|b 0
245 _ _ |a On the Recombination Rate Estimation in the Presence of Population Substructure.
260 _ _ |a San Francisco, California, US
|c 2015
|b PLOS
264 _ 1 |3 online
|2 Crossref
|b Public Library of Science (PLoS)
|c 2015-12-30
336 7 _ |a article
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336 7 _ |a ARTICLE
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336 7 _ |a Journal Article
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520 _ _ |a As 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.
536 _ _ |a 345 - Population Studies and Genetics (POF3-345)
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542 _ _ |i 2015-12-30
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|u http://creativecommons.org/licenses/by/4.0/
588 _ _ |a Dataset connected to CrossRef, PubMed,
650 _ 2 |a Computer Simulation
|2 MeSH
650 _ 2 |a Genetics, Population: methods
|2 MeSH
650 _ 2 |a Genome, Human: genetics
|2 MeSH
650 _ 2 |a HapMap Project
|2 MeSH
650 _ 2 |a Humans
|2 MeSH
650 _ 2 |a Models, Genetic
|2 MeSH
650 _ 2 |a Recombination, Genetic: genetics
|2 MeSH
650 _ 2 |a Regression Analysis
|2 MeSH
700 1 _ |a Prokopenko, Dmitry
|b 1
700 1 _ |a Lange, Christoph
|0 P:(DE-2719)9000181
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700 1 _ |a Fier, Heide Löhlein
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773 1 8 |a 10.1371/journal.pone.0145152
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|v 10
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773 _ _ |a 10.1371/journal.pone.0145152
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856 4 _ |u https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0145152
856 7 _ |2 Pubmed Central
|u http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4696844
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Marc 21