作物と家畜におけるQTL検出のための統計的手法 Statistical Methods for Detection of QTL in Plants and Animals

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著者

    • 林 武司 HAYASHI Takeshi
    • 東京大学大学院農学生命科学研究科 生物測定学研究室 Laboratory of Biometrics, Graduate School of Agricultural and Life Sciences, University of Tokyo

抄録

Genetic maps with many markers are now available for agronomic plants and animals. Statistical methods for detecting QTL using genetic maps were mainly developed for plants, because it is easier to generate inbred lines in plants. Segregating populations derived from crossing of two inbred lines, such as BC<SUB>1</SUB> and F<SUB>2</SUB>, are the most adequate materials for QTL mapping. However, methods devised for plant data obtained from the line crossing cannot be applied to the analysis of data of animals, since they cannot fully take account of the more complex date structures of outcrossing animal populations, i. e. data on several families with relationships across families and unknown linkage phases in parents. <BR>We report several methods for interval mapping of QTLs generally used in plants and animals, respectively. The following methods are described. (1) Maximum likelihood and least squares methods based on a simple regression model for plants and animals such as pigs, in which large full-sib families are available. (2) A method based on animal models in best linear unbiased prediction (BLUP) of breeding values for animals. (3) Sib-pair linkage tests, which was firstly introduced for human QTL mapping and is applicable to animals. <BR>We elucidate how the difference in statistical models for QTL mapping between plants and animals corresponds to difference in data structures.

収録刊行物

  • 計量生物学

    計量生物学 20(2), 109-129, 2000-03-30

    日本計量生物学会

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各種コード

  • NII論文ID(NAID)
    10013940271
  • NII書誌ID(NCID)
    AA11591618
  • 本文言語コード
    JPN
  • 資料種別
    REV
  • NDL 記事登録ID
    6885549
  • NDL 雑誌分類
    ZR1(科学技術--生物学)
  • NDL 請求記号
    Z74-B725
  • データ提供元
    CJP書誌  NDL  J-STAGE 
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