Evidence map›Paper›PMID 15611198›Full record

ArticleGenetics2004

Using temporally spaced sequences to simultaneously estimate migration rates, mutation rate and population sizes in measurably evolving populations.

Greg Ewing, Geoff Nicholls, Allen Rodrigo

Abstract read
In one paragraph

Article in Genetics, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Bayesian phylodynamic inference of population dynamics with dormancy.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Article
  6. Bayesian phylodynamic inference of population dynamics with dormancy.bioRxiv : the preprint server for biology · 2025
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. The Structured Coalescent and Its Approximations.Molecular biology and evolution · 2017
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Phylogenetic and epidemic modeling of rapidly evolving infectious diseases.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2011
    Review
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Greg EwingAllan Wilson Centre for Molecular Ecology and Evolution, Bioinformatics Institute, University of Auckland, Auckland, New Zealand 1020.
Geoff Nicholls
Allen Rodrigo

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a Bayesian statistical inference approach for simultaneously estimating mutation rate, population sizes, and migration rates in an island-structured population, using temporal and spatial sequence data. Markov chain Monte Carlo is used to collect samples from the posterior probability distribution. We demonstrate that this chain implementation successfully reaches equilibrium and recovers truth for simulated data. A real HIV DNA sequence data set with two demes, semen and blood, is used as an example to demonstrate the method by fitting asymmetric migration rates and different population sizes. This data set exhibits a bimodal joint posterior distribution, with modes favoring different preferred migration directions. This full data set was subsequently split temporally for further analysis. Qualitative behavior of one subset was similar to the bimodal distribution observed with the full data set. The temporally split data showed significant differences in the posterior distributions and estimates of parameter values over time.

Indexed as

Biological EvolutionGenetics, PopulationMutation

Identifiers

PMID15611198
PMCPMC1448755

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.