Mapping and analysis of quantitative trait loci in experimental populations.
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.
Doerge
Rebecca W
RW
Department of Statistics, and Department of Agronomy, and Computational Genomics, Purdue University, West Lafayette, Indiana 47907-1399, USA. doerge@purdue.edu
D000465:Algorithms; D000818:Animals; D002874:Chromosome Mapping / Q000379:methods*; D020869:Gene Expression Profiling; D005819:Genetic Markers; D014644:Genetic Variation; D005838:Genotype; D006801:Humans; D016014:Linear Models; D051379:Mice; D008957:Models, Genetic; D020411:Oligonucleotide Array Sequence Analysis; D010641:Phenotype; D019655:Quantitative Trait, Heritable
D005819:Genetic Markers