ArticlePLoS biology2022
Recommendations for improving statistical inference in population genomics.
Article in PLoS biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers.
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Who cites it
102 citing papers in PubMed.
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- Sex-Specific Landscapes of Crossover and Noncrossover Recombination in Coppery Titi Monkeys (Plecturocebus cupreus).Genome biology and evolution · 2026Article
- 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
- Demography and Localized Reservoirs of Diversity Underlie Global Divergence in the Giant Kelp Macrocystis pyrifera.Molecular ecology · 2026Article
- Tracking the Evolutionary Trajectory of a Young Hybrid Plant Pathogen.Genome biology and evolution · 2026Article
- Article
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- Ancient DNA from shells reveals delayed genomic erosion and rapid immune adaptation in the critically endangered black abalone.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Inferring the Demographic History of Coppery Titi Monkeys (Plecturocebus cupreus) From High-Quality, Whole-Genome, Population-Level Data.American journal of primatology · 2026Article
- 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
- Characterization of de novo germline mutations suggests a strong male mutation bias in coppery titi monkeys (Plecturocebus cupreus).Molecular biology and evolution · 2026Article
- ThebioRxiv : the preprint server for biology · 2026Article
- Combining Population Genomics With Ancient DNA to Understand Island Colonisation History of the Madagascar Turtle Dove.Molecular ecology · 2026Article
- Surviving the Squeeze: Genomic Analysis of a Successful Invasion by European Common Wall Lizards (Podarcis muralis) in North America (Ohio, USA).Molecular ecology · 2026Article
- Assessing Ancient DNA Sampling Strategies for Natural Selection Inference in Humans Using Allele Frequency Time Series Data.Genome biology and evolution · 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
42 more citing papers are in PubMed but not listed here.
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Authors and funding
13 authors.
Funding
Abstract
The field of population genomics has grown rapidly in response to the recent advent of affordable, large-scale sequencing technologies. As opposed to the situation during the majority of the 20th century, in which the development of theoretical and statistical population genetic insights outpaced the generation of data to which they could be applied, genomic data are now being produced at a far greater rate than they can be meaningfully analyzed and interpreted. With this wealth of data has come a tendency to focus on fitting specific (and often rather idiosyncratic) models to data, at the expense of a careful exploration of the range of possible underlying evolutionary processes. For example, the approach of directly investigating models of adaptive evolution in each newly sequenced population or species often neglects the fact that a thorough characterization of ubiquitous nonadaptive processes is a prerequisite for accurate inference. We here describe the perils of these tendencies, present our consensus views on current best practices in population genomic data analysis, and highlight areas of statistical inference and theory that are in need of further attention. Thereby, we argue for the importance of defining a biologically relevant baseline model tuned to the details of each new analysis, of skepticism and scrutiny in interpreting model fitting results, and of carefully defining addressable hypotheses and underlying uncertainties.
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