Evidence map›Paper›PMID 17490477›Full record

ArticleBMC evolutionary biology2007

Chromatin structure and evolution in the human genome.

James G D Prendergast, Harry Campbell, Nick Gilbert, Malcolm G Dunlop, Wendy A Bickmore, Colin A M Semple

Open access · goldAbstract read
In one paragraph

Article in BMC evolutionary biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
3.2field-weighted citation impact, top 8% of its field
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

48 citing papers in PubMed, 88 citations in OpenAlex.

  1. Article
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  8. Borders ofFrontiers in genetics · 2018
    Article
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  12. Review
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  17. Article
  18. The genome as a developmental organ.The Journal of physiology · 2014
    Review
  19. DNA replication timing.Cold Spring Harbor perspectives in biology · 2013
    Review
  20. Review
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

6 authors at 2 institutions in 1 country.

James G D PrendergastColon Cancer Genetics Group, Division of Oncology, University of Edinburgh, Western General Hospital, Edinburgh, UK. James.Prendergast@hgu.mrc.ac.uk
Harry Campbell
Nick Gilbert
Malcolm G Dunlop
Wendy A Bickmore
Colin A M Semple
Western General Hospital · GBUniversity of Edinburgh · GB

Funding

Medical Research Council MC_U127527198Medical Research Council MC_U127527202
6 · The paper itself

Abstract

backgroundEvolutionary rates are not constant across the human genome but genes in close proximity have been shown to experience similar levels of divergence and selection. The higher-order organisation of chromosomes has often been invoked to explain such phenomena but previously there has been insufficient data on chromosome structure to investigate this rigorously. Using the results of a recent genome-wide analysis of open and closed human chromatin structures we have investigated the global association between divergence, selection and chromatin structure for the first time.

resultsIn this study we have shown that, paradoxically, synonymous site divergence (dS) at non-CpG sites is highest in regions of open chromatin, primarily as a result of an increased number of transitions, while the rates of other traditional measures of mutation (intergenic, intronic and ancient repeat divergence as well as SNP density) are highest in closed regions of the genome. Analysis of human-chimpanzee divergence across intron-exon boundaries indicates that although genes in relatively open chromatin generally display little selection at their synonymous sites, those in closed regions show markedly lower divergence at their fourfold degenerate sites than in neighbouring introns and intergenic regions. Exclusion of known Exonic Splice Enhancer hexamers has little affect on the divergence observed at fourfold degenerate sites across chromatin categories; however, we show that closed chromatin is enriched with certain classes of ncRNA genes whose RNA secondary structure may be particularly important.

conclusionWe conclude that, overall, non-CpG mutation rates are lowest in open regions of the genome and that regions of the genome with a closed chromatin structure have the highest background mutation rate. This might reflect lower rates of DNA damage or enhanced DNA repair processes in regions of open chromatin. Our results also indicate that dS is a poor measure of mutation rates, particularly when used in closed regions of the genome, as genes in closed regions generally display relatively strong levels of selection at their synonymous sites.

Indexed as

Evolution, MolecularGenome, HumanAnimalsCells, CulturedChromatinChromatin Assembly and DisassemblyCpG IslandsExonsHumansMutationPan troglodytesPhylogenyPolymorphism, Single NucleotideRNA Splice SitesChromatinRNA Splice Sites

Identifiers

PMID17490477
PMCPMC1876461
OpenAlexW2005342820

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.