Review
Nature Reviews Genetics 3, 43-52 (January 2002) | doi:10.1038/nrg703
Subject Category: Multifactorial genetics
Focus on: Multifactorial Genetics
Multifactorial genetics: Mapping and analysis of quantitative trait loci in experimental populations
Rebecca W. Doerge1 About the author
Abstract
Simple statistical methods for the study of quantitative trait loci (QTL), such as analysis of variance, have given way to methods that involve several markers and high-resolution genetic maps. As a result, the mapping community has been provided with statistical and computational tools that have much greater power than ever before for studying and locating multiple and interacting QTL. Apart from their immediate practical applications, the lessons learnt from this evolution of QTL methodology might also be generally relevant to other types of functional genomics approach that are aimed at the dissection of complex phenotypes, such as microarray assessment of gene expression.
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Author affiliations
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Department of Statistics, and Department of Agronomy, and Computational Genomics, Purdue University, West Lafayette, Indiana 47907-1399, USA.
Email: doerge@purdue.edu
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