ArticleNature communications2025
SimOutbreakSelection: a simulation-based tool to optimise sampling design and analysis strategies for detecting epidemic-driven selection.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- SimHumanity: Using SLiM 5.0 to run whole-genome simulations of human evolution.bioRxiv : the preprint server for biology · 2025Article
- SimOutbreakSelection: a simulation-based tool to optimise sampling design and analysis strategies for detecting epidemic-driven selection.Nature communications · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Throughout history, populations across species have been decimated by epidemic outbreaks. Recent studies have raised the enticing idea that such outbreaks have led to strong natural selection acting on disease-protective genetic variants in the host population. However, so far few, if any, clear examples of such selection exist. This could be because previous studies were underpowered to detect the type of selection an outbreak must induce: extremely short-term selection on standing variation. Here we present a simulation-based framework that allows users to explore under what circumstances selection scan methods like F
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Registered trials
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