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Accounting for genetic interactions improves modeling of individual quantitative trait phenotypes in yeast.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Biochemistry and Microbiology. (Carlborg)ORCID iD: 0000-0002-7451-9222
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2017 (English)In: Nature Genetics, ISSN 1061-4036, E-ISSN 1546-1718Article in journal (Refereed) Epub ahead of print
Abstract [en]

Experiments in model organisms report abundant genetic interactions underlying biologically important traits, whereas quantitative genetics theory predicts, and data support, the notion that most genetic variance in populations is additive. Here we describe networks of capacitating genetic interactions that contribute to quantitative trait variation in a large yeast intercross population. The additive variance explained by individual loci in a network is highly dependent on the allele frequencies of the interacting loci. Modeling of phenotypes for multilocus genotype classes in the epistatic networks is often improved by accounting for the interactions. We discuss the implications of these results for attempts to dissect genetic architectures and to predict individual phenotypes and long-term responses to selection.

Place, publisher, year, edition, pages
2017.
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Natural Sciences
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URN: urn:nbn:se:uu:diva-316620DOI: 10.1038/ng.3800PubMedID: 28250458OAI: oai:DiVA.org:uu-316620DiVA: diva2:1078570
Available from: 2017-03-06 Created: 2017-03-06 Last updated: 2017-03-06

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CiteExportLink to record
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  • apa
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