Evidence map›Paper›PMID 24865298›Full record

ArticleGenes2014

Pharmacogenomics: Current State-of-the-Art.

Daniel F Carr, Ana Alfirevic, Munir Pirmohamed

Open access · goldAbstract read
In one paragraph

Article in Genes, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
13.5field-weighted citation impact, top 1% 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

24 citing papers in PubMed, 50 citations in OpenAlex.

  1. Review
  2. LCMD: Lung Cancer Metabolome Database.Computational and structural biotechnology journal · 2022
    Article
  3. The Person's Care Requires a Sex and Gender Approach.Journal of clinical medicine · 2021
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. A review of metabolism-associated biomarkers in lung cancer diagnosis and treatment.Metabolomics : Official journal of the Metabolomic Society · 2018
    Article
  11. State of Art of Cancer Pharmacogenomics in Latin American Populations.International journal of molecular sciences · 2017
    Review
  12. Article
  13. Companion diagnostics-a tool to improve pharmacotherapy.Annals of translational medicine · 2016
    Review
  14. Review
  15. Review
  16. Article
  17. Review
  18. Review
  19. 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

3 authors at 1 institution in 1 country.

Daniel F CarrWolfson Centre for Personalised Medicine, Department of Molecular and Clinical Pharmacology, University of Liverpool, Block A Waterhouse Buildings, 1-5 Brownlow Street, Liverpool, L69 3GL, UK. d.carr@liv.ac.uk.
Ana AlfirevicWolfson Centre for Personalised Medicine, Department of Molecular and Clinical Pharmacology, University of Liverpool, Block A Waterhouse Buildings, 1-5 Brownlow Street, Liverpool, L69 3GL, UK. Ana.Alfirevic@liv.ac.uk.
Munir PirmohamedWolfson Centre for Personalised Medicine, Department of Molecular and Clinical Pharmacology, University of Liverpool, Block A Waterhouse Buildings, 1-5 Brownlow Street, Liverpool, L69 3GL, UK. munirp@liv.ac.uk.
University of Liverpool · GB

Funding

Medical Research Council MC_QA137929Medical Research Council MR/L006758/1
6 · The paper itself

Abstract

The completion of the human genome project 10 years ago was met with great optimism for improving drug therapy through personalized medicine approaches, with the anticipation that an era of genotype-guided patient prescribing was imminent. To some extent this has come to pass and a number of key pharmacogenomics markers of inter-individual drug response, for both safety and efficacy, have been identified and subsequently been adopted in clinical practice as pre-treatment genetic tests. However, the universal application of genetics in treatment guidance is still a long way off. This review will highlight important pharmacogenomic discoveries which have been facilitated by the human genome project and other milestone projects such as the International HapMap and 1000 genomes, and by the continued development of genotyping and sequencing technologies, including rapid point of care pre-treatment genetic testing. However, there are still many challenges to implementation for the many other reported biomarkers which continue to languish within the discovery phase. As technology advances over the next 10 years, and the costs fall, the field will see larger genetic data sets, including affordable whole genome sequences, which will, it is hoped, improve patient outcomes through better diagnostic, prognostic and predictive biomarkers.

Identifiers

PMID24865298
PMCPMC4094941
OpenAlexW1983592836

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.