ArticleEvolution; international journal of organic evolution2023
Evaluating power to detect recurrent selective sweeps under increasingly realistic evolutionary null models.
Article in Evolution; international journal of organic evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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28 citing papers in PubMed.
- Inferring the Relative Contributions of Evolutionary Processes Shaping X Chromosome Dynamics in the Common Marmoset (Callithrix jacchus) in the Presence of Twinning and Hematopoietic Chimerism.Genome biology and evolution · 2026Article
- Inferring fine-scale rates of mutation and recombination in the coppery titi monkey (Plecturocebus cupreus).Heredity · 2026Article
- Article
- Inferring Patterns of Purifying, Positive, and Balancing Selection in the Coppery Titi Monkey (Plecturocebus cupreus) Utilizing a Well-Fit Evolutionary Baseline Model.Genome biology and evolution · 2026Article
- The distribution of fitness effects of new mutations in regulatory regions of thebioRxiv : the preprint server for biology · 2026Article
- Malaria control and the unexpected spread of diagnostic-resistantbioRxiv : the preprint server for biology · 2026Article
- Genomic perspectives on the inference of evolutionary changes in ecological life-history traits.Quantitative plant biology · 2026Review
- Towards an evolutionary baseline model ofbioRxiv : the preprint server for biology · 2025Article
- Recent Insights Into the Evolutionary Genomics of the Critically Endangered Aye-Aye (Daubentonia madagascariensis).American journal of primatology · 2025Review
- Inferring Fine-Scale Mutation and Recombination Rate Maps in Aye-Ayes (Ecology and evolution · 2025Article
- Article
- SimHumanity: Using SLiM 5.0 to run whole-genome simulations of human evolution.bioRxiv : the preprint server for biology · 2025Article
- A whole-genome scan for evidence of positive and balancing selection in aye-ayes (Daubentonia madagascariensis) utilizing a well-fit evolutionary baseline model.G3 (Bethesda, Md.) · 2025Article
- Estimating the Distribution of Fitness Effects in Aye-Ayes (Daubentonia madagascariensis), Accounting for Population History as Well as Mutation and Recombination Rate Heterogeneity.American journal of primatology · 2025Article
- Accounting for Chimerism in Demographic Inference: Reconstructing the History of Common Marmosets (Callithrix jacchus) from High-Quality, Whole-Genome, Population-Level Data.Molecular biology and evolution · 2025Article
- Inferring demographic and selective histories from population genomic data using a 2-step approach in species with coding-sparse genomes: an application to human data.G3 (Bethesda, Md.) · 2025Article
- Inferring the Demographic History of Aye-Ayes (Daubentonia madagascariensis) from High-Quality, Whole-Genome, Population-Level Data.Genome biology and evolution · 2025Article
- Inferring demographic and selective histories from population genomic data using a two-step approach in species with coding-sparse genomes: an application to human data.bioRxiv : the preprint server for biology · 2024Article
- Inferring the demographic history of aye-ayes (bioRxiv : the preprint server for biology · 2024Article
- A whole-genome scan for evidence of recent positive and balancing selection in aye-ayes (bioRxiv : the preprint server for biology · 2024Article
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Abstract
The detection of selective sweeps from population genomic data often relies on the premise that the beneficial mutations in question have fixed very near the sampling time. As it has been previously shown that the power to detect a selective sweep is strongly dependent on the time since fixation as well as the strength of selection, it is naturally the case that strong, recent sweeps leave the strongest signatures. However, the biological reality is that beneficial mutations enter populations at a rate, one that partially determines the mean wait time between sweep events and hence their age distribution. An important question thus remains about the power to detect recurrent selective sweeps when they are modeled by a realistic mutation rate and as part of a realistic distribution of fitness effects, as opposed to a single, recent, isolated event on a purely neutral background as is more commonly modeled. Here we use forward-in-time simulations to study the performance of commonly used sweep statistics, within the context of more realistic evolutionary baseline models incorporating purifying and background selection, population size change, and mutation and recombination rate heterogeneity. Results demonstrate the important interplay of these processes, necessitating caution when interpreting selection scans; specifically, false-positive rates are in excess of true-positive across much of the evaluated parameter space, and selective sweeps are often undetectable unless the strength of selection is exceptionally strong.
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