ReviewNature reviews. Genetics2025
Inference and applications of ancestral recombination graphs.
Review in Nature reviews. Genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.
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Who cites it
58 citing papers in PubMed.
- Genomic insights into natural selection in recent human history.Nature reviews. Genetics · 2026Review
- ARGformer: learning on ancestral recombination graphs with transformers.Bioinformatics (Oxford, England) · 2026Article
- Spatial inference of ancestor locations suggests northern refugia for canopy-forming kelps in the Pacific Northwest.The New phytologist · 2026Article
- What has population genomics told us about the dynamics of selection and plant adaptation?Molecular biology and evolution · 2026Review
- Recommendations for the ethical and accurate use of population descriptors: a trainee-led survey of early-career researchers.bioRxiv : the preprint server for biology · 2026Article
- Interactive exploration of biobank-scale ancestral recombination graphs with Lorax.Bioinformatics (Oxford, England) · 2026Article
- ARGscape: a modular, interactive tool for manipulation of spatiotemporal ancestral recombination graphs.Bioinformatics (Oxford, England) · 2026Article
- Population genomics of yellow-eyed penguins uncovers subspecies divergence and candidate genes linked to respiratory distress syndrome.Nature ecology & evolution · 2026Article
- Allelic association analyses: estimation recommendations.Genetics · 2026Article
- Article
- A Rarefaction Approach to Identify Local Introgression in a Three Population Tree.bioRxiv : the preprint server for biology · 2026Article
- AI solutions for evolutionary genomics of nonmodel species.Evolution letters · 2026Review
- Harnessing Deep Learning in Searching Wild Relatives of Domestic Animals.Molecular ecology resources · 2026Article
- VINE: Variational inference for scalable Bayesian reconstruction of species and cell-lineage phylogenies.bioRxiv : the preprint server for biology · 2026Article
- Recovering signatures of archaic introgression using ancestral recombination graphs.bioRxiv : the preprint server for biology · 2026Article
- Interactive exploration of biobank-scale ancestral recombination graphs with Lorax.bioRxiv : the preprint server for biology · 2026Article
- Recent advances in methods to characterize archaic introgression in modern humans.Genome research · 2026Review
- Polarising SNPs Without Outgroup.Molecular ecology resources · 2026Article
- A Statistical Framework to Infer the Mutation Model of Tandem Repeat Variants.bioRxiv : the preprint server for biology · 2026Article
- Tracing the evolutionary histories of ultra-rare variants using variational dating of large ancestral recombination graphs.bioRxiv : the preprint server for biology · 2026Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Ancestral recombination graphs (ARGs) summarize the complex genealogical relationships between individuals represented in a sample of DNA sequences. Their use is currently revolutionizing the field of population genetics and is leading to the development of powerful new methods to elucidate individual and population genetic processes, including population size history, migration, admixture, recombination, mutation and selection. In this Review, we introduce the readers to the structure of ARGs and discuss how they relate to processes such as recombination and genetic drift. We explore differences and similarities between methods of estimating ARGs and provide concrete illustrative examples of how ARGs can be used to elucidate population-level processes.
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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.