Evidence map›Paper›PMID 25150023›Full record

ReviewMutagenesis2014

Next-generation sequencing technologies: breaking the sound barrier of human genetics.

El Mustapha Bahassi, Peter J Stambrook

Abstract readReview
In one paragraph

Review in Mutagenesis, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

45 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. A Novel Pathogenic Variant of theJournal of pediatric genetics · 2020
    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

2 authors.

El Mustapha BahassiDepartment of Internal Medicine, Division of Hematology/Oncology, UC Brain Tumor Center, University of Cincinnati, 3125 Eden Avenue, Cincinnati, OH 45267-0508, USA, Department of Molecular Genetics, Biochemistry and Microbiology, University of Cincinnati, 3125 Eden Avenue, Cincinnati, OH 45267-0508, USA bhassiem@uc.edu.
Peter J StambrookDepartment of Molecular Genetics, Biochemistry and Microbiology, University of Cincinnati, 3125 Eden Avenue, Cincinnati, OH 45267-0508, USA.

Funding

Environmental exposure: Susceptibility alleles in a DNA damage response pathwayR01ES016625 · NIEHS · UNIVERSITY OF CINCINNATI · PI STAMBROOK, PETER J. · 2009 to 2013
$2.5M
NIEHS NIH HHS R01 ES016625
6 · The paper itself

Abstract

Demand for new technologies that deliver fast, inexpensive and accurate genome information has never been greater. This challenge has catalysed the rapid development of advances in next-generation sequencing (NGS). The generation of large volumes of sequence data and the speed of data acquisition are the primary advantages over previous, more standard methods. In 2013, the Food and Drug Administration granted marketing authorisation for the first high-throughput NG sequencer, Illumina's MiSeqDx, which allowed the development and use of a large number of new genome-based tests. Here, we present a review of template preparation, nucleic acid sequencing and imaging, genome assembly and alignment approaches as well as recent advances in current and near-term commercially available NGS instruments. We also outline the broad range of applications for NGS technologies and provide guidelines for platform selection to best address biological questions of interest. DNA sequencing has revolutionised biological and medical research, and is poised to have a similar impact on the practice of medicine. This tool is but one of an increasing arsenal of developing tools that enhance our capabilities to identify, quantify and functionally characterise the components of biological networks that keep us healthy or make us sick. Despite advances in other 'omic' technologies, DNA sequencing and analysis, in many respects, have played the leading role to date. The new technologies provide a bridge between genotype and phenotype, both in man and model organisms, and have revolutionised how risk of developing a complex human disease may be assessed. The generation of large DNA sequence data sets is producing a wealth of medically relevant information on a large number of individuals and populations that will potentially form the basis of truly individualised medical care in the future.

Indexed as

Genome, HumanComputational BiologyGenetics, MedicalGenotypeHigh-Throughput Nucleotide SequencingHumansPhenotypeSequence Analysis, DNA

Identifiers

PMID25150023
PMCPMC7318892

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.