ArticleHeredity2013
A coalescent model of background selection with recombination, demography and variation in selection coefficients.
Article in Heredity, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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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
33 citing papers in PubMed.
- ThebioRxiv : the preprint server for biology · 2026Article
- Recent Insights Into the Evolutionary Genomics of the Critically Endangered Aye-Aye (Daubentonia madagascariensis).American journal of primatology · 2025Review
- Population size rescaling significantly biases outcomes of forward-in-time population genetic simulations.Genetics · 2025Article
- Population size rescaling significantly biases outcomes of forward-in-time population genetic simulations.bioRxiv : the preprint server for biology · 2024Article
- Linked Selection and Gene Density Shape Genome-Wide Patterns of Diversification in Peatmosses.Evolutionary applications · 2024Article
- Temporal challenges in detecting balancing selection from population genomic data.G3 (Bethesda, Md.) · 2024Article
- A quantitative genetic model of background selection in humans.PLoS genetics · 2024Article
- The Effects of Mutation and Recombination Rate Heterogeneity on the Inference of Demography and the Distribution of Fitness Effects.Genome biology and evolution · 2024Article
- Genomic Architecture Predicts Tree Topology, Population Structuring, and Demographic History in Amazonian Birds.Genome biology and evolution · 2024Article
- The effects of mutation and recombination rate heterogeneity on the inference of demography and the distribution of fitness effects.bioRxiv : the preprint server for biology · 2023Article
- On the prospect of achieving accurate joint estimation of selection with population history.Genome biology and evolution · 2022Article
- Article
- Inferring the distribution of fitness effects in patient-sampled and experimental virus populations: two case studies.Heredity · 2022Article
- Effects of Selection at Linked Sites on Patterns of Genetic Variability.Annual review of ecology, evolution, and systematics · 2021Article
- Article
- How Good Are Predictions of the Effects of Selective Sweeps on Levels of Neutral Diversity?Genetics · 2020Article
- Background Selection Does Not Mimic the Patterns of Genetic Diversity Produced by Selective Sweeps.Genetics · 2020Article
- What can be learned by scanning the genome for molecular convergence in wild populations?Annals of the New York Academy of Sciences · 2020Review
- Toward an Evolutionarily Appropriate Null Model: Jointly Inferring Demography and Purifying Selection.Genetics · 2020Article
- Article
Corrections and comments
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Authors and funding
1 author.
Funding
Abstract
There is increasing evidence that background selection, the effects of the elimination of recurring deleterious mutations by natural selection on variability at linked sites, may be a major factor shaping genome-wide patterns of genetic diversity. To accurately quantify the importance of background selection, it is vital to have computationally efficient models that include essential biological features. To this end, a structured coalescent procedure is used to construct a model of background selection that takes into account the effects of recombination, recent changes in population size and variation in selection coefficients against deleterious mutations across sites. Furthermore, this model allows a flexible organization of selected and neutral sites in the region concerned, and has the ability to generate sequence variability at both selected and neutral sites, allowing the correlation between these two types of sites to be studied. The accuracy of the model is verified by checking against the results of forward simulations. These simulations also reveal several patterns of diversity that are in qualitative agreement with observations reported in recent studies of DNA sequence polymorphisms. These results suggest that the model should be useful for data analysis.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.