Evidence map›Paper›PMID 20624726›Full record

ArticleGenome biology and evolution2010

A likelihood ratio test of speciation with gene flow using genomic sequence data.

Ziheng Yang

Abstract readComparative Study
In one paragraph

Article in Genome biology and evolution, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. The power of coalescent methods for inferring recent and ancient gene flow in endangered Bactrian camels.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  2. Article
  3. Review
  4. Case Report: Novel Likely PathogenicFrontiers in pediatrics · 2021
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  7. Whole-genome data reveal the complex history of a diverse ecological community.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  8. Review
  9. Article
  10. Novel family of terpene synthases evolved from trans-isoprenyl diphosphate synthases in a flea beetle.Proceedings of the National Academy of Sciences of the United States of America · 2016
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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.

Ziheng YangGalton Laboratory, Department of Biology, University College London, United Kingdom. z.yang@ucl.ac.uk

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomic sequence data may be used to test hypotheses about the process of species formation. In this paper, I implement a likelihood ratio test of variable species divergence times over the genome, which may be considered a test of the null model of allopatric speciation without gene flow against the alternative model of parapatric speciation with gene flow. Two models are implemented in the likelihood framework, which accommodate coalescent events in the ancestral populations in a phylogeny of three species. One model assumes a constant species divergence time over the genome, whereas another allows it to vary. Computer simulation shows that the test has acceptable false positive rate but to achieve reasonable power, hundreds or even thousands of genomic loci may be necessary. The test is applied to genomic data from the human, chimpanzee, and gorilla.

Indexed as

Gene FlowGenetic SpeciationModels, GeneticAnimalsGenome, HumanGenomicsGorilla gorillaHumansLikelihood FunctionsMutationPan troglodytesTime Factors

Identifiers

PMID20624726
PMCPMC2997537

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.