Evidence map›Paper›PMID 12524350›Full record

ArticleGenetics2002

The evolution of isochores: evidence from SNP frequency distributions.

Martin J Lercher, Nick G C Smith, Adam Eyre-Walker, Laurence D Hurst

Abstract readComparative Study
In one paragraph

Article in Genetics, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Article
  2. Article
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  5. Article
  6. Review
  7. Article
  8. Article
  9. Decoding mechanisms by which silent codon changes influence protein biogenesis and function.The international journal of biochemistry & cell biology · 2015
    Review
  10. Article
  11. Article
  12. Article
  13. Recombination is associated with the evolution of genome structure and worker behavior in honey bees.Proceedings of the National Academy of Sciences of the United States of America · 2012
    Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  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

4 authors.

Martin J LercherDepartment of Biology and Biochemistry, University of Bath, Bath BA2 7AY, United Kingdom. m.j.lercher@bath.ac.uk
Nick G C Smith
Adam Eyre-Walker
Laurence D Hurst

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The large-scale systematic variation in nucleotide composition along mammalian and avian genomes has been a focus of the debate between neutralist and selectionist views of molecular evolution. Here we test whether the compositional variation is due to mutation bias using two new tests, which do not assume compositional equilibrium. In the first test we assume a standard population genetics model, but in the second we make no assumptions about the underlying population genetics. We apply the tests to single-nucleotide polymorphism data from noncoding regions of the human genome. Both models of neutral mutation bias fit the frequency distributions of SNPs segregating in low- and medium-GC-content regions of the genome adequately, although both suggest compositional nonequilibrium. However, neither model fits the frequency distribution of SNPs from the high-GC-content regions. In contrast, a simple population genetics model that incorporates selection or biased gene conversion cannot be rejected. The results suggest that mutation biases are not solely responsible for the compositional biases found in noncoding regions.

Indexed as

Evolution, MolecularPolymorphism, Single NucleotideAllelesAnimalsBase CompositionGene FrequencyGenetics, PopulationGenome, HumanHumansIsochoresModels, GeneticMutationSelection, GeneticIsochores

Identifiers

PMID12524350
PMCPMC1462390

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.