Hoh J, Ott J
Laboratory of Statistical Genetics, Rockefeller University, 1230 York Avenue, New York, New York 10021, USA.
Theor Popul Biol. 2001 Nov;60(3):149-53. doi: 10.1006/tpbi.2001.1536.
Complex traits, by definition, are the pheonotypic outcome from multiple interacting genes. The traditional analysis of association studies on complex traits is to test one locus at a time, but a better approach is to analyze all markers simultaneously. We previously proposed a two-stage approach, first selecting the influential markers and then modeling main and interaction effects of these markers. Here we introduce alternative approaches to marker selection and discuss issues regarding analytical tools for disease gene mapping, marker selection, and statistical modeling.
根据定义，复杂性状是多个相互作用基因的表型结果。传统的复杂性状关联研究分析是一次检测一个位点，但更好的方法是同时分析所有标记。我们之前提出了一种两阶段方法，首先选择有影响的标记，然后对这些标记的主效应和交互效应进行建模。在这里，我们介绍标记选择的替代方法，并讨论疾病基因定位、标记选择和统计建模的分析工具相关问题。
