Evidence map›Paper›PMID 21426544›Full record

ArticleGenome biology2011

A genome-wide view of mutation rate co-variation using multivariate analyses.

Guruprasad Ananda, Francesca Chiaromonte, Kateryna D Makova

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.9field-weighted citation impact, top 5% 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

25 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
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  8. Article
  9. Evolution of Local Mutation Rate and Its Determinants.Molecular biology and evolution · 2017
    Article
  10. Article
  11. Variation in the molecular clock of primates.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  12. Article
  13. Article
  14. Review
  15. Limits and patterns of cytomegalovirus genomic diversity in humans.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Segmenting the human genome based on states of neutral genetic divergence.Proceedings of the National Academy of Sciences of the United States of America · 2013
    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 at 1 institution in 1 country.

Guruprasad AnandaCenter for Medical Genomics, Penn State University, University Park, PA 16802, USA.
Francesca Chiaromonte
Kateryna D Makova
Pennsylvania State University · US

Funding

Computational and Biochemical Analysis of Microsatellite Life CycleR01GM087472 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI ECKERT, KRISTIN A, MAKOVA, KATERYNA · 2009 to 2012
$1.4M
NIGMS NIH HHS R01 GM087472NIGMS NIH HHS R01GM087472
6 · The paper itself

Abstract

backgroundWhile the abundance of available sequenced genomes has led to many studies of regional heterogeneity in mutation rates, the co-variation among rates of different mutation types remains largely unexplored, hindering a deeper understanding of mutagenesis and genome dynamics. Here, utilizing primate and rodent genomic alignments, we apply two multivariate analysis techniques (principal components and canonical correlations) to investigate the structure of rate co-variation for four mutation types and simultaneously explore the associations with multiple genomic features at different genomic scales and phylogenetic distances.

resultsWe observe a consistent, largely linear co-variation among rates of nucleotide substitutions, small insertions and small deletions, with some non-linear associations detected among these rates on chromosome X and near autosomal telomeres. This co-variation appears to be shaped by a common set of genomic features, some previously investigated and some novel to this study (nuclear lamina binding sites, methylated non-CpG sites and nucleosome-free regions). Strong non-linear relationships are also detected among genomic features near the centromeres of large chromosomes. Microsatellite mutability co-varies with other mutation rates at finer scales, but not at 1 Mb, and shows varying degrees of association with genomic features at different scales.

conclusionsOur results allow us to speculate about the role of different molecular mechanisms, such as replication, recombination, repair and local chromatin environment, in mutagenesis. The software tools developed for our analyses are available through Galaxy, an open-source genomics portal, to facilitate the use of multivariate techniques in future large-scale genomics studies.

Indexed as

GenomicsMutation RateAnimalsEvolution, MolecularFemaleGenomeHumansMaleMicrosatellite RepeatsMultivariate AnalysisPhylogenySoftware

Identifiers

PMID21426544
PMCPMC3129677
OpenAlexW2073921201

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.