Influence analysis in quantitative trait loci detection

Xiaoling Dou, Satoshi Kuriki, Akiteru Maeno, Toyoyuki Takada, Toshihiko Shiroishi

研究成果: Article

抜粋

This paper presents systematic methods for the detection of influential individuals that affect the log odds (LOD) score curve. We derive general formulas of influence functions for profile likelihoods and introduce them into two standard quantitative trait locus detection methods-the interval mapping method and single marker analysis. Besides influence analysis on specific LOD scores, we also develop influence analysis methods on the shape of the LOD score curves. A simulation-based method is proposed to assess the significance of the influence of the individuals. These methods are shown useful in the influence analysis of a real dataset of an experimental population from an F2 mouse cross. By receiver operating characteristic analysis, we confirm that the proposed methods show better performance than existing diagnostics.

元の言語English
ページ(範囲)697-719
ページ数23
ジャーナルBiometrical Journal
56
発行部数4
DOI
出版物ステータスPublished - 2014 6
外部発表Yes

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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  • これを引用

    Dou, X., Kuriki, S., Maeno, A., Takada, T., & Shiroishi, T. (2014). Influence analysis in quantitative trait loci detection. Biometrical Journal, 56(4), 697-719. https://doi.org/10.1002/bimj.201200178