44 Scopus citations

Abstract

Recursive partitioning/ tree models are discussed as a method of dissecting the complex nature of traits with different causal mechanisms operating in different subsets of the data (e.g., different genes operating in different subsets of families). In addition to the straightforward application of classification and regression trees to define more homogeneous subsets of the data on which to conduct further analysis, developments incorporating linkage analysis into the definition of the regression trees (Shannon et al., 2000) are discussed. The pros and cons of recursive partitioning vs the related approach of context-dependent analysis (Turner et al., 1999) are also reviewed as two promising analysis strategies that may be useful for genetic dissection of complex traits.

Original languageEnglish
Title of host publicationAdvances in Genetics
Pages273-286
Number of pages14
StatePublished - Dec 1 2001

Publication series

NameAdvances in Genetics
Volume42
ISSN (Print)0065-2660

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    Province, M. A., Shannon, W. D., & Rao, D. C. (2001). 19 Classification methods for confronting heterogeneity. In Advances in Genetics (pp. 273-286). (Advances in Genetics; Vol. 42).