Evidence map›Paper›PMID 19644920›Full record

ReviewBioEssays : news and reviews in molecular, cellular and developmental biology2009

Genomic mutation rates: what high-throughput methods can tell us.

Koodali T Nishant, Nadia D Singh, Eric Alani

Abstract readReview
In one paragraph

Review in BioEssays : news and reviews in molecular, cellular and developmental biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. Article
  2. DipSkmer: Reference-free population genomics with diploid genome skims.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Relative Frequencies ofInternational journal of molecular sciences · 2022
    Review
  9. Review
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Genome Dynamics of HybridG3 (Bethesda, Md.) · 2017
    Article
  19. EDEN: evolutionary dynamics within environments.Bioinformatics (Oxford, England) · 2017
    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

3 authors.

Koodali T NishantDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853-2703, USA.
Nadia D Singh
Eric Alani

Funding

Roles for Mismatch Repair Proteins in Maintaining Genome StabilityR01GM053085 · NIGMS · CORNELL UNIVERSITY ITHACA · PI ALANI, ERIC E. · 1995 to 2019
$7.3M
Role of mutation rate variation in patterns of molecular evolution in DrosophiaF32GM080944 · NIGMS · CORNELL UNIVERSITY · PI SINGH, NADIA D · 2007 to 2009
$148k
NIGMS NIH HHS 1F32GM080944-01NIGMS NIH HHS F32 GM080944NIGMS NIH HHS GM53085NIGMS NIH HHS R01 GM053085
6 · The paper itself

Abstract

High-throughput DNA analyses are increasingly being used to detect rare mutations in moderately sized genomes. These methods have yielded genome mutation rates that are markedly higher than those obtained using pre-genomic strategies. Recent work in a variety of organisms has shown that mutation rate is strongly affected by sequence context and genome position. These observations suggest that high-throughput DNA analyses will ultimately allow researchers to identify trans-acting factors and cis sequences that underlie mutation rate variation. Such work should provide insights on how mutation rate variability can impact genome organization and disease progression.

Indexed as

GenomeMutationAnimalsDisease ProgressionEvolution, MolecularHumansSequence Analysis, DNA

Identifiers

PMID19644920
PMCPMC2952423

What OpenQuestion holds

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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.