Center for Ecological and Evolutionary Synthesis, University of Oslo, Oslo, Norway.
Evol Bioinform Online. 2008 Jun 28;4:225-35. doi: 10.4137/ebo.s756.
Determining 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.
确定复杂性状的遗传结构是理解自然、实验和家养群体中表型变化的必要步骤。然而，这对于现代遗传学来说仍然是一个主要的挑战，因为遗传效应的估计往往会受到遗传相互作用的复杂化，这导致等位基因替换的效应根据遗传背景而变化。旨在描述和量化遗传效应的统计工具的最新进展，显著提高了基因型到表型映射方法的效率和可用性。在本贡献中，我们通过为 R 软件提供一个包（'noia'）来实现线性和多线性回归、参考操作的更改以及基因型到表型的映射，为最近发表的'NOIA'定量框架的实际应用提供便利，并讨论进化和数量遗传学家在使用适当的建模策略来量化基因效应时可能发现的理论和实际好处。
