ArticleGenetics2016
Effects of Linked Selective Sweeps on Demographic Inference and Model Selection.
Article in Genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 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
85 citing papers in PubMed, 178 citations in OpenAlex.
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- The Late Quaternary climate impact on the genome of the woodland strawberry (Fragaria vesca), a perennial herb.Communications biology · 2026Article
- The impact of non-neutral synonymous mutations when inferring selection on nonsynonymous mutations.Genetics · 2025Article
- Accessible, Realistic Genome Simulation with Selection Using stdpopsim.Molecular biology and evolution · 2025Article
- Accessible, realistic genome simulation with selection using stdpopsim.bioRxiv : the preprint server for biology · 2025Article
- Evolutionary history and seascape genomics of Harbour porpoises (Phocoena phocoena) across environmental gradients in the North Atlantic and adjacent waters.Molecular ecology resources · 2025Article
- Assessing simulation-based supervised machine learning for demographic parameter inference from genomic data.Heredity · 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
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- The long and short of hyperdivergent regions.Trends in genetics : TIG · 2025Review
- Estimating effective population size trajectories from time-series identity-by-descent segments.Genetics · 2025Article
- Hill-Robertson interference may bias the inference of fitness effects of new mutations in highly selfing species.Evolution; international journal of organic evolution · 2025Article
- Detection of domestication signals through the analysis of the full distribution of fitness effects.Peer community journal · 2025Article
- Ecological and anthropogenic effects on the genomic diversity of lemurs in Madagascar.Nature ecology & evolution · 2025Article
- Inferring Long-Term and Short-Term Determinants of Genetic Diversity in Honey Bees: Beekeeping Impact and Conservation Strategies.Molecular biology and evolution · 2024Article
- New Insights into the Molecular Evolution ofGenes · 2024Article
- 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
25 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
The availability of large-scale population genomic sequence data has resulted in an explosion in efforts to infer the demographic histories of natural populations across a broad range of organisms. As demographic events alter coalescent genealogies, they leave detectable signatures in patterns of genetic variation within and between populations. Accordingly, a variety of approaches have been designed to leverage population genetic data to uncover the footprints of demographic change in the genome. The vast majority of these methods make the simplifying assumption that the measures of genetic variation used as their input are unaffected by natural selection. However, natural selection can dramatically skew patterns of variation not only at selected sites, but at linked, neutral loci as well. Here we assess the impact of recent positive selection on demographic inference by characterizing the performance of three popular methods through extensive simulation of data sets with varying numbers of linked selective sweeps. In particular, we examined three different demographic models relevant to a number of species, finding that positive selection can bias parameter estimates of each of these models-often severely. We find that selection can lead to incorrect inferences of population size changes when none have occurred. Moreover, we show that linked selection can lead to incorrect demographic model selection, when multiple demographic scenarios are compared. We argue that natural populations may experience the amount of recent positive selection required to skew inferences. These results suggest that demographic studies conducted in many species to date may have exaggerated the extent and frequency of population size changes.
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Registered trials
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.