Evidence map›Paper›PMID 23300409›Full record

ArticlePLoS computational biology2012

Chapter 7: Pharmacogenomics.

Konrad J Karczewski, Roxana Daneshjou, Russ B Altman

Abstract readValidation Study
In one paragraph

Article in PLoS computational biology, 2012. 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
–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

24 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Pharmacometabolomics by NMR in Oncology: A Systematic Review.Pharmaceuticals (Basel, Switzerland) · 2021
    Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. PharmGKB: A worldwide resource for pharmacogenomic information.Wiley interdisciplinary reviews. Systems biology and medicine · 2018
    Review
  14. Review
  15. Article
  16. System pharmacogenomics application in infectious diseases.Briefings in functional genomics · 2017
    Review
  17. Toward precision medicine of breast cancer.Theoretical biology & medical modelling · 2016
    Review
  18. Article
  19. Article
  20. Concept of pharmacogenomics and future considerations.CNS neuroscience & therapeutics · 2013
    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.

Konrad J KarczewskiProgram in Biomedical Informatics, Stanford University, Stanford, California, United States of America.
Roxana Daneshjou
Russ B Altman

Funding

POSTDOCTORAL TRAINING IN MEDICAL INFORMATION SCIENCEST15LM007033 · NLM · STANFORD UNIVERSITY · PI SYLVIA KATINA PLEVRITIS · 1985 to 2026
$25.5M
PharmGKB: pharmacogenomics knowledge for precision medicineR24GM061374 · NIGMS · STANFORD UNIVERSITY · PI ALTMAN, RUSS BIAGIO, KLEIN, TERI ELLEN · 2010 to 2018
$25.2M
THE STANFORD PHARMACOGENETICS KNOWLEDGE BASEU01GM061374 · NIGMS · STANFORD UNIVERSITY · PI ALTMAN, RUSS BIAGIO · 2000 to 2009
$24.0M
NIGMS NIH HHS R24 GM061374NIGMS NIH HHS U01 GM061374NLM NIH HHS T15 LM007033NLM NIH HHS T15-LM007033
6 · The paper itself

Abstract

There is great variation in drug-response phenotypes, and a "one size fits all" paradigm for drug delivery is flawed. Pharmacogenomics is the study of how human genetic information impacts drug response, and it aims to improve efficacy and reduced side effects. In this article, we provide an overview of pharmacogenetics, including pharmacokinetics (PK), pharmacodynamics (PD), gene and pathway interactions, and off-target effects. We describe methods for discovering genetic factors in drug response, including genome-wide association studies (GWAS), expression analysis, and other methods such as chemoinformatics and natural language processing (NLP). We cover the practical applications of pharmacogenomics both in the pharmaceutical industry and in a clinical setting. In drug discovery, pharmacogenomics can be used to aid lead identification, anticipate adverse events, and assist in drug repurposing efforts. Moreover, pharmacogenomic discoveries show promise as important elements of physician decision support. Finally, we consider the ethical, regulatory, and reimbursement challenges that remain for the clinical implementation of pharmacogenomics.

Indexed as

PharmacogeneticsDrug DiscoveryGenome-Wide Association StudyHumans

Identifiers

PMID23300409
PMCPMC3531317

What OpenQuestion holds

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Registered trials

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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.