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Mapping and analysis of quantitative trait loci in experimental populations

Doerge RW.
Department of Statistics, and Department of Agronomy, and Computational Genomics, Purdue University, West Lafayette, Indiana 47907-1399, USA.

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. [1]

  1. Doerge RW (2002) Mapping and analysis of quantitative trait loci in experimental populations. Nat Rev Genet 3: 43-52 PubMed
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