Evidence map›Paper›PMID 22042576›Full record

ArticleGenetics2012

Complex population dynamics and the coalescent under neutrality.

Erik M Volz

Erratum issuedAbstract read
In one paragraph

Article in Genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 100 papers.

0numbers the graph read from it
0cells of the map it votes in
100citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

100 citing papers in PubMed.

  1. Article
  2. Hidden Burden of a Measles Outbreak Revealed by Genomic and Transmission Models.medRxiv : the preprint server for health sciences · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Phylodynamics beyond neutrality: the impact of incomplete purifying selection on viral phylogenies and inference.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Estimates of early outbreak-specific SARS-CoV-2 epidemiological parameters from genomic data.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  19. ReMASTER: improved phylodynamic simulation for BEAST 2.7.Bioinformatics (Oxford, England) · 2024
    Article
  20. Article

40 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

1 author.

Erik M VolzDepartment of Epidemiology, University of Michigan, Ann Arbor, Michigan 48109, USA. erik@erikvolz.info

Funding

HIV Risk Dynamics, Genetic Patterns, and ControlR01AI078752 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KOOPMAN, JAMES STEPHEN · 2008 to 2012
$2.7M
Estimation of HIV Transmission Dynamics Using Genetic Sequences of VirusK01AI091440 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI VOLZ, ERIK MCCULLOUGH · 2010 to 2013
$521k
NIAID NIH HHS 1-K01-AI-091440-01NIAID NIH HHS K01 AI091440NIAID NIH HHS R01 AI078752NIAID NIH HHS R01-AI078752
6 · The paper itself

Abstract

Estimates of the coalescent effective population size N(e) can be poorly correlated with the true population size. The relationship between N(e) and the population size is sensitive to the way in which birth and death rates vary over time. The problem of inference is exacerbated when the mechanisms underlying population dynamics are complex and depend on many parameters. In instances where nonparametric estimators of N(e) such as the skyline struggle to reproduce the correct demographic history, model-based estimators that can draw on prior information about population size and growth rates may be more efficient. A coalescent model is developed for a large class of populations such that the demographic history is described by a deterministic nonlinear dynamical system of arbitrary dimension. This class of demographic model differs from those typically used in population genetics. Birth and death rates are not fixed, and no assumptions are made regarding the fraction of the population sampled. Furthermore, the population may be structured in such a way that gene copies reproduce both within and across demes. For this large class of models, it is shown how to derive the rate of coalescence, as well as the likelihood of a gene genealogy with heterochronous sampling and labeled taxa, and how to simulate a coalescent tree conditional on a complex demographic history. This theoretical framework encapsulates many of the models used by ecologists and epidemiologists and should facilitate the integration of population genetics with the study of mathematical population dynamics.

Indexed as

Models, GeneticPopulation DynamicsAlgorithmsComputer SimulationGenealogy and HeraldryHumansPopulation Density

Identifiers

PMID22042576
PMCPMC3249372

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.