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Histocompatibility Testing 1984 pp 58–60Cite as

PEDPLO: The Pedigree Plot Program

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Abstract

Analysis of the linkage of different loci, analysis of the association of disease and haplotype, differentiation of the MHC region, and research in histocompatibility depend widely on family analyses. For extensive analyses, as done in this workshop by the family analyses package FAP (M. Neugebauer et al., Analysis of Multilocus Pedigree Data by Computer, this volume), clear graphical presentation of inheritance becomes very important.

This work was supported in part by Deutsche Forschungsgemeinschaft Ba 660/5–1

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Reference

  1. Serre JP (1980) Trees. Springer, Berlin Heidelberg New York

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Author information

Authors and Affiliations

  1. Institute of Medical Statistics, Documentation and Data Processing, University of Bonn, Sigmund-Freud-Str. 25, 5300, Bonn, Federal Republic of Germany

    M. Sigmund

Authors
  1. M. Sigmund
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Editor information

Editors and Affiliations

  1. Labor für Immungenetik, Kinderpoliklinik der Universität, Pettenkoferstraße 8a, 8000, München 2, Bundesrepublik Deutschland

    Ekkehard D. Albert

  2. Biometrische Abteilung, Diabetes Forschungsinstitut an der Universität, Auf’m Hennekamp 65, 4000, Düsseldorf 1, Bundesrepublik Deutschland

    Max P. Baur

  3. Institut für Blutgruppenserologie der Universität, Spitalgasse 4, 1090, Wien, Österreich

    Wolfgang R. Mayr

  4. Essen, Germany

    J. Bertrams  & H. Grosse-Wilde  & 

  5. Ulm, Germany

    S. Goldmann

  6. Heidelberg, Germany

    G. Opelz

  7. Bonn, Germany

    C. Rittner

  8. Munich, Germany

    D. J. Schendel , S. Scholz  & R. Wank ,  & 

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© 1984 Springer-Verlag Berlin Heidelberg

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Cite this paper

Sigmund, M. (1984). PEDPLO: The Pedigree Plot Program. In: Albert, E.D., et al. Histocompatibility Testing 1984. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-69770-8_8

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  • DOI: https://doi.org/10.1007/978-3-642-69770-8_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-69772-2

  • Online ISBN: 978-3-642-69770-8

  • eBook Packages: Springer Book Archive

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