Research article - Peer-reviewed, 2008
Estimation of Genetic Effects and Genotype-Phenotype MapsLe Rouzic, Arnaud; Alvarez-Castro, Jose M.
AbstractDetermining the genetic architecture of complex traits is a necessary step to understand phenotypic changes in natural, experimental and domestic populations. However, this is still a major challenge for modern genetics, since the estimation of genetic effects tends to be complicated by genetic interactions, which lead to changes in the effect of allelic substitutions depending on the genetic background. Recent progress in statistical tools aiming to describe and quantify genetic effects meaningfully improves the efficiency and the availability of genotype-to-phenotype mapping methods. In this contribution, we facilitate the practical use of the recently published 'NOIA' quantitative framework by providing an implementation of linear and multilinear regressions, change of reference operation and genotype-to-phenotype mapping in a package ('noia') for the software R, and we discuss theoretical and practical benefits evolutionary and quantitative geneticists may find in using proper modeling strategies to quantify the effects of genes.
Published inEvolutionary Bioinformatics
2008, volume: 4, pages: 225-235
Publisher: BIOINFORMATICS INST
Le Rouzic, Arnaud
University of Oslo (UiO)
Swedish University of Agricultural Sciences, Department of Animal Breeding and Genetics
UKÄ Subject classification
Animal and Dairy Science
URI (permanent link to this page)