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@ARTICLE{Hecker:138304,
      author       = {Hecker, Julian and Prokopenko, Dmitry and Lange, Christoph
                      and Fier, Heide Löhlein},
      title        = {{O}n the {R}ecombination {R}ate {E}stimation in the
                      {P}resence of {P}opulation {S}ubstructure.},
      journal      = {PLOS ONE},
      volume       = {10},
      number       = {12},
      issn         = {1932-6203},
      address      = {San Francisco, California, US},
      publisher    = {PLOS},
      reportid     = {DZNE-2020-04626},
      pages        = {e0145152},
      year         = {2015},
      abstract     = {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.},
      keywords     = {Computer Simulation / Genetics, Population: methods /
                      Genome, Human: genetics / HapMap Project / Humans / Models,
                      Genetic / Recombination, Genetic: genetics / Regression
                      Analysis},
      cin          = {U T4 Researchers - Bonn},
      ddc          = {610},
      cid          = {I:(DE-2719)7000008},
      pnm          = {345 - Population Studies and Genetics (POF3-345)},
      pid          = {G:(DE-HGF)POF3-345},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:26716445},
      pmc          = {pmc:PMC4696844},
      doi          = {10.1371/journal.pone.0145152},
      url          = {https://pub.dzne.de/record/138304},
}