Evidence map›Paper›PMID 19101058›Full record

ReviewTrends in ecology & evolution2009

Coalescent genealogy samplers: windows into population history.

Mary K Kuhner

Abstract readReview
In one paragraph

Review in Trends in ecology & evolution, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers.

0numbers the graph read from it
0cells of the map it votes in
90citing 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

90 citing papers in PubMed.

  1. Review
  2. Article
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  10. Article
  11. Discrete coalescent trees.Journal of mathematical biology · 2021
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

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

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

1 author.

Mary K KuhnerDepartment of Genome Sciences, University of Washington, Seattle, WA 98195-5065, USA. mkkuhner@u.washington.edu

Funding

Selection and Association in Coalescent GenealogiesR01GM051929 · NIGMS · UNIVERSITY OF WASHINGTON · PI KUHNER, MARY K · 1995 to 2006
$2.6M
NIGMS NIH HHS GM051929-09NIGMS NIH HHS R01 GM051929
6 · The paper itself

Abstract

Coalescent genealogy samplers attempt to estimate past qualities of a population, such as its size, growth rate, patterns of gene flow or time of divergence from another population, based on samples of molecular data. Genealogy samplers are increasingly popular because of their potential to disentangle complex population histories. In the last decade they have been widely applied to systems ranging from humans to viruses. Findings include detection of unexpected reproductive inequality in fish, new estimates of historical whale abundance, exoneration of humans for the prehistoric decline of bison and inference of a selective sweep on the human Y chromosome. This review summarizes available genealogy-sampler software, including data requirements and limitations on the use of each program.

Indexed as

Genealogy and HeraldrySoftwareAnimalsBayes TheoremHumansLikelihood FunctionsPhylogenyPopulation Dynamics

Identifiers

PMID19101058
PMCPMC4714702

What OpenQuestion holds

Textmetadata
LicenceTDM
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.