ReviewHeredity2016
On the importance of skewed offspring distributions and background selection in virus population genetics.
Review in Heredity, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 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
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Who cites it
38 citing papers in PubMed.
- Article
- 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
- Article
- 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
- Temporal challenges in detecting balancing selection from population genomic data.G3 (Bethesda, Md.) · 2024Article
- Population genetic considerations regarding the interpretation of within-patient SARS-CoV-2 polymorphism data.Nature communications · 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
- A Simulation Framework for Modeling the Within-Patient Evolutionary Dynamics of SARS-CoV-2.Genome biology and evolution · 2023Article
- SARS-CoV-2 entry into and evolution within a skilled nursing facility.Scientific reports · 2023Article
- A simulation framework for modeling the within-patient evolutionary dynamics of SARS-CoV-2.bioRxiv : the preprint server for biology · 2023Article
- Article
- Developing an appropriate evolutionary baseline model for the study of SARS-CoV-2 patient samples.PLoS pathogens · 2023Review
- Article
- How Can We Resolve Lewontin's Paradox?Genome biology and evolution · 2022Article
- The impact of frequently neglected model violations on bacterial recombination rate estimation: a case study in Mycobacterium canettii and Mycobacterium tuberculosis.G3 (Bethesda, Md.) · 2022Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Many features of virus populations make them excellent candidates for population genetic study, including a very high rate of mutation, high levels of nucleotide diversity, exceptionally large census population sizes, and frequent positive selection. However, these attributes also mean that special care must be taken in population genetic inference. For example, highly skewed offspring distributions, frequent and severe population bottleneck events associated with infection and compartmentalization, and strong purifying selection all affect the distribution of genetic variation but are often not taken into account. Here, we draw particular attention to multiple-merger coalescent events and background selection, discuss potential misinference associated with these processes, and highlight potential avenues for better incorporating them into future population genetic analyses.
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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.