2017
DOI: 10.7554/elife.28629
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Inferring genetic interactions from comparative fitness data

Abstract: Darwinian fitness is a central concept in evolutionary biology. In practice, however, it is hardly possible to measure fitness for all genotypes in a natural population. Here, we present quantitative tools to make inferences about epistatic gene interactions when the fitness landscape is only incompletely determined due to imprecise measurements or missing observations. We demonstrate that genetic interactions can often be inferred from fitness rank orders, where all genotypes are ordered according to fitness,… Show more

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Cited by 41 publications
(86 citation statements)
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“…The linear order L does not map to a Dyck word (starting in P ) under φ f , since the image of the smallest prefix of L which contains all elements of S contains more N 's than P 's since |S| > |N G (S)|. Therefore, by Theorem 3 from (Crona, Gavryushkin, et al 2017), this partial order does not imply positive f -interaction.…”
Section: Efficient Methods To Infer Interactions From Partial Ordersmentioning
confidence: 97%
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“…The linear order L does not map to a Dyck word (starting in P ) under φ f , since the image of the smallest prefix of L which contains all elements of S contains more N 's than P 's since |S| > |N G (S)|. Therefore, by Theorem 3 from (Crona, Gavryushkin, et al 2017), this partial order does not imply positive f -interaction.…”
Section: Efficient Methods To Infer Interactions From Partial Ordersmentioning
confidence: 97%
“…Moreover, even when a complete fitness ranking of genotypes is available a method to detect interactions from a partial order alone might provide additional insight. Indeed, there are cases where the rank order method fails to reveal interactions even though interactions in the system can be detected from the actual fitness measurements (Crona, Gavryushkin, et al 2017). In this case, partial fitness order methods can be used to conclude diminishing returns or synergistic epistasis and refute sign epistasis.…”
Section: Introductionmentioning
confidence: 99%
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