Epistatic genetic architecture of root length in Arabidopsis thaliana Authors

Abstract

Efforts to identify loci underlying complex traits generally assume that most genetic variance is additive. This is despite the fact that non-additive genetic effects, such as epistatic interactions and developmental noise, are also likely to make important contributions to the phenotypic variability. Analyses beyond additivity require additional care in the design and collection of data, and introduce significant analytical and computational challenges in the statistical analyses. Here, we have conducted a study that, by focusing on a model complex trait that allows precise phenotyping across many replicates and by applying advanced analytical tools capable of . CC-BY-NC-ND 4.0 International license peer-reviewed) is the author/funder. It is made available under a The copyright holder for this preprint (which was not . http://dx.doi.org/10.1101/008789 doi: bioRxiv preprint first posted online Sep. 4, 2014;

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Cite this paper

@inproceedings{Lachowiec2014EpistaticGA, title={Epistatic genetic architecture of root length in Arabidopsis thaliana Authors}, author={Jennifer Lachowiec and Xia Shen and Christine Queitsch and {\"{O}rjan Carlborg}, year={2014} }