ArticleGenetics2016
A General Approximation for the Dynamics of Quantitative Traits.
Article in Genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
- Discovering interpretable low-dimensional dynamics using maximum entropy.Physical review. E · 2026Article
- Article
- Article
- Accumulation and maintenance of information in evolution.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Dynamic maximum entropy provides accurate approximation of structured population dynamics.PLoS computational biology · 2021Article
- Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Selection, mutation, and random drift affect the dynamics of allele frequencies and consequently of quantitative traits. While the macroscopic dynamics of quantitative traits can be measured, the underlying allele frequencies are typically unobserved. Can we understand how the macroscopic observables evolve without following these microscopic processes? This problem has been studied previously by analogy with statistical mechanics: the allele frequency distribution at each time point is approximated by the stationary form, which maximizes entropy. We explore the limitations of this method when mutation is small (4Nμ < 1) so that populations are typically close to fixation, and we extend the theory in this regime to account for changes in mutation strength. We consider a single diallelic locus either under directional selection or with overdominance and then generalize to multiple unlinked biallelic loci with unequal effects. We find that the maximum-entropy approximation is remarkably accurate, even when mutation and selection change rapidly.
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Registered trials
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