ReviewCurrent opinion in genetics & development2018
Inference of population history using coalescent HMMs: review and outlook.
Review in Current opinion in genetics & development, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 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
26 citing papers in PubMed.
- Combining Population Genomics With Ancient DNA to Understand Island Colonisation History of the Madagascar Turtle Dove.Molecular ecology · 2026Article
- Estimating Waiting Distances between Genealogy Changes under a Multi-Species Extension of the Sequentially Markov Coalescent.Systematic biology · 2026Article
- Genomic perspectives on the inference of evolutionary changes in ecological life-history traits.Quantitative plant biology · 2026Review
- Genetic structure and historical gene flow in Araucaria angustifolia populations across two Brazilian regions.Heredity · 2025Article
- Accelerated Bayesian inference of population size history from recombining sequence data.Nature genetics · 2025Article
- Estimation of demography and mutation rates from one million haploid genomes.American journal of human genetics · 2025Article
- Computational Genomics and Its Applications to Anthropological Questions.American journal of biological anthropology · 2024Review
- Population Genomic Scans for Natural Selection and Demography.Annual review of genetics · 2024Review
- On the estimation of genome-average recombination rates.Genetics · 2024Article
- Computationally Efficient Demographic History Inference from Allele Frequencies with Supervised Machine Learning.Molecular biology and evolution · 2024Article
- Computationally efficient demographic history inference from allele frequencies with supervised machine learning.bioRxiv : the preprint server for biology · 2024Article
- Accurate inference of population history in the presence of background selection.bioRxiv : the preprint server for biology · 2024Article
- Exact Decoding of a Sequentially Markov Coalescent Model in Genetics.Journal of the American Statistical Association · 2024Article
- Worldwide Late Pleistocene and Early Holocene population declines in extant megafauna are associated with Homo sapiens expansion rather than climate change.Nature communications · 2023Article
- Inference of Coalescence Times and Variant Ages Using Convolutional Neural Networks.Molecular biology and evolution · 2023Article
- Whole genome demographic models indicate divergent effective population size histories shape contemporary genetic diversity gradients in a montane bumble bee.Ecology and evolution · 2023Article
- eSMC: a statistical model to infer admixture events from individual genomics data.BMC genomics · 2022Article
- Article
- Robust inference of population size histories from genomic sequencing data.PLoS computational biology · 2022Article
- Linked-Read Sequencing of Eight Falcons Reveals a Unique Genomic Architecture in Flux.Genome biology and evolution · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Studying how diverse human populations are related is of historical and anthropological interest, in addition to providing a realistic null model for testing for signatures of natural selection or disease associations. Furthermore, understanding the demographic histories of other species is playing an increasingly important role in conservation genetics. A number of statistical methods have been developed to infer population demographic histories using whole-genome sequence data, with recent advances focusing on allowing for more flexible modeling choices, scaling to larger data sets, and increasing statistical power. Here we review coalescent hidden Markov models, a powerful class of population genetic inference methods that can utilize linkage disequilibrium information effectively. We highlight recent advances, give advice for practitioners, point out potential pitfalls, and present possible future research directions.
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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.