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  <identifier identifierType="DOI">10.18453/rosdok_id00003502</identifier>
  <creators>
    <creator>
      <creatorName nameType="Personal">Wittenburg, Dörte</creatorName>
      <givenName>Dörte</givenName>
      <familyName>Wittenburg</familyName>
      <nameIdentifier nameIdentifierScheme="GND" schemeURI="http://d-nb.info/gnd/">http://d-nb.info/gnd/136382207</nameIdentifier>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org/">https://orcid.org/0000-0002-3639-2574</nameIdentifier>
    </creator>
  </creators>
  <titles>
    <title>Statistical perspectives on dependencies between genomic markers</title>
  </titles>
  <publisher>Universität Rostock</publisher>
  <publicationYear>2021</publicationYear>
  <resourceType resourceTypeGeneral="Text" />
  <subjects>
    <subject xml:lang="en" schemeURI="http://dewey.info/" subjectScheme="dewey">570 Life science</subject>
    <subject xml:lang="en" schemeURI="http://dewey.info/" subjectScheme="dewey">630 Agriculture</subject>
  </subjects>
  <dates>
    <date dateType="Created">2021</date>
  </dates>
  <language>en</language>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="PURL">http://purl.uni-rostock.de/rosdok/id00003502</alternateIdentifier>
    <alternateIdentifier alternateIdentifierType="URN">urn:nbn:de:gbv:28-rosdok_id00003502-3</alternateIdentifier>
  </alternateIdentifiers>
  <descriptions>
    <description descriptionType="Abstract">To study the genetic impact on a quantitative trait, molecular markers are used as predictor variables in a statistical model. This habilitation thesis elucidated challenges accompanied with such investigations. First, the usefulness of including different kinds of genetic effects, which can be additive or non-additive, was verified. Second, dependencies between markers caused by their proximity on the genome were studied in populations with family stratification. The resulting covariance matrix deserved special attention due to its multi-functionality in several fields of genomic evaluations.</description>
  </descriptions>
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