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Influence analysis in quantitative trait loci detection
Author(s) -
Dou Xiaoling,
Kuriki Satoshi,
Maeno Akiteru,
Takada Toyoyuki,
Shiroishi Toshihiko
Publication year - 2014
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.201200178
Subject(s) - receiver operating characteristic , quantitative trait locus , statistics , trait , population , computer science , locus (genetics) , mathematics , pattern recognition (psychology) , artificial intelligence , biology , genetics , medicine , gene , environmental health , programming language
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 F 2 mouse cross. By receiver operating characteristic analysis, we confirm that the proposed methods show better performance than existing diagnostics.