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Genome-Wide Genetic Study in Autoimmune Disease-Prone Mice

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Arthritis Research

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1142))

Abstract

Mouse models of autoimmune diseases provide invaluable insights into the cellular and molecular bases of autoimmunity. Genetic linkage studies focusing on their abnormal quantitative phenotypes in relation to the loss of self-tolerance will lead to the identification of polymorphic genes that play pivotal roles in the genetic predisposition to autoimmunity. In this chapter, we first overview the basic concepts in the statistical genetics and then provide guides to genotyping microsatellite DNA markers and to quantitative trait loci mapping using a MAPMAKER program.

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Acknowledgements

This work was supported by a Grant in Aid for Scientific Research C from the Ministry of Education, Science, Technology, Sports and Culture, Japan.

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Authors and Affiliations

  1. Department of Bioengineering, Toin Human Science and Technology Center, Toin University of Yokohama, 1614 Kurogane-cho Aoba-ku, Yokohama, 225-8502, Japan

    Masaomi Obata, Mareki Ohtsuji, Yukiyasu Iida & Hioroyuki Nishimura

  2. Department of Pathology, Juntendo University School of Medicine, Tokyo, Japan

    Toshikazu Shirai & Sachiko Hirose

Authors
  1. Masaomi Obata
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  2. Mareki Ohtsuji
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  3. Yukiyasu Iida
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  4. Toshikazu Shirai
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  5. Sachiko Hirose
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  6. Hioroyuki Nishimura
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Corresponding author

Correspondence to Hioroyuki Nishimura .

Editor information

Editors and Affiliations

  1. Department of Rheumatology, Kyushu University Beppu Hospital, Beppu, Japan

    Shunichi Shiozawa

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Obata, M., Ohtsuji, M., Iida, Y., Shirai, T., Hirose, S., Nishimura, H. (2014). Genome-Wide Genetic Study in Autoimmune Disease-Prone Mice. In: Shiozawa, S. (eds) Arthritis Research. Methods in Molecular Biology, vol 1142. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-0404-4_13

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  • DOI: https://doi.org/10.1007/978-1-4939-0404-4_13

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-0403-7

  • Online ISBN: 978-1-4939-0404-4

  • eBook Packages: Springer Protocols

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