Evidence map›Paper›PMID 28767725›Full record

ArticlePloS one2017

DNA mutation motifs in the genes associated with inherited diseases.

Michal Růžička, Petr Kulhánek, Lenka Radová, Andrea Čechová, Naďa Špačková, Lenka Fajkusová, Kamila Réblová

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

15 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Review
  3. An Update on Neuroaging on Earth and in Spaceflight.International journal of molecular sciences · 2025
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Bending of DNA duplexes with mutation motifs.DNA research : an international journal for rapid publication of reports on genes and genomes · 2019
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review of Different Sequence Motif Finding Algorithms.Avicenna journal of medical biotechnology
    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

7 authors at 2 institutions in 1 country.

Michal RůžičkaCEITEC-Central European Institute of Technology, Masaryk University, Kamenice 5, Brno, Czech Republic.
Petr KulhánekCEITEC-Central European Institute of Technology, Masaryk University, Kamenice 5, Brno, Czech Republic.
Lenka RadováCEITEC-Central European Institute of Technology, Masaryk University, Kamenice 5, Brno, Czech Republic.
Andrea ČechováCEITEC-Central European Institute of Technology, Masaryk University, Kamenice 5, Brno, Czech Republic.
Naďa ŠpačkováDepartment of Condensed Matter Physics, Faculty of Science, Masaryk University, Kotlářská 2, Brno, Czech Republic.
Lenka FajkusováCentre of Molecular Biology and Gene Therapy, University Hospital Brno and Masaryk University, Jihlavská 20, Brno, Czech Republic.
Kamila RéblováCEITEC-Central European Institute of Technology, Masaryk University, Kamenice 5, Brno, Czech Republic.ORCID http://orcid.org/0000-0002-6453-2386
Central European Institute of Technology · CZMasaryk University · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mutations in human genes can be responsible for inherited genetic disorders and cancer. Mutations can arise due to environmental factors or spontaneously. It has been shown that certain DNA sequences are more prone to mutate. These sites are termed hotspots and exhibit a higher mutation frequency than expected by chance. In contrast, DNA sequences with lower mutation frequencies than expected by chance are termed coldspots. Mutation hotspots are usually derived from a mutation spectrum, which reflects particular population where an effect of a common ancestor plays a role. To detect coldspots/hotspots unaffected by population bias, we analysed the presence of germline mutations obtained from HGMD database in the 5-nucleotide segments repeatedly occurring in genes associated with common inherited disorders, in particular, the PAH, LDLR, CFTR, F8, and F9 genes. Statistically significant sequences (mutational motifs) rarely associated with mutations (coldspots) and frequently associated with mutations (hotspots) exhibited characteristic sequence patterns, e.g. coldspots contained purine tract while hotspots showed alternating purine-pyrimidine bases, often with the presence of CpG dinucleotide. Using molecular dynamics simulations and free energy calculations, we analysed the global bending properties of two selected coldspots and two hotspots with a G/T mismatch. We observed that the coldspots were inherently more flexible than the hotspots. We assume that this property might be critical for effective mismatch repair as DNA with a mutation recognized by MutSα protein is noticeably bent.

Indexed as

Germ-Line MutationCystic Fibrosis Transmembrane Conductance RegulatorDNAFactor VIIIGenetic Predisposition to DiseaseHumansModels, MolecularMolecular Dynamics SimulationNucleic Acid ConformationNucleotide MotifsReceptors, LDLCFTR protein, humanCystic Fibrosis Transmembrane Conductance RegulatorDNAF8 protein, humanFactor VIIILDLR protein, humanReceptors, LDL

Identifiers

PMID28767725
PMCPMC5540541
OpenAlexW2740116819

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.