Evidence map›Paper›PMID 20350130›Full record

ArticlePharmacogenomics2010

Pharmacogenomics and bioinformatics: PharmGKB.

Caroline F Thorn, Teri E Klein, Russ B Altman

Abstract read
In one paragraph

Article in Pharmacogenomics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing 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

62 citing papers in PubMed.

  1. Knowledgebase strategies to aid interpretation of clinical correlation research.Journal of the American Medical Informatics Association : JAMIA · 2023
    Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Precision Pharmacotherapy: Integrating Pharmacogenomics into Clinical Pharmacy Practice.Journal of the American College of Clinical Pharmacy : JACCP · 2019
    Article
  7. Article
  8. Article
  9. PharmGKB: A worldwide resource for pharmacogenomic information.Wiley interdisciplinary reviews. Systems biology and medicine · 2018
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

2 more citing papers are in PubMed but not listed here.

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.

Caroline F ThornDepartment of Genetics, Stanford University Medical Center, Stanford, CA 94305-5120, USA.
Teri E Klein
Russ B Altman

Funding

THE STANFORD PHARMACOGENETICS KNOWLEDGE BASEU01GM061374 · NIGMS · STANFORD UNIVERSITY · PI ALTMAN, RUSS BIAGIO · 2000 to 2009
$24.0M
NIGMS NIH HHS U01 GM061374NIGMS NIH HHS U01GM61374
6 · The paper itself

Abstract

The NIH initiated the PharmGKB in April 2000. The primary mission was to create a repository of primary data, tools to track associations between genes and drugs, and to catalog the location and frequency of genetic variations known to impact drug response. Over the past 10 years, new technologies have shifted research from candidate gene pharmacogenetics to phenotype-based pharmacogenomics with a consequent explosion of data. PharmGKB has refocused on curating knowledge rather than housing primary genotype and phenotype data, and now, captures more complex relationships between genes, variants, drugs, diseases and pathways. Going forward, the challenges are to provide the tools and knowledge to plan and interpret genome-wide pharmacogenomics studies, predict gene-drug relationships based on shared mechanisms and support data-sharing consortia investigating clinical applications of pharmacogenomics.

Indexed as

Databases, FactualInternetKnowledge BasesComputational BiologyDiseaseDrug TherapyPharmaceutical PreparationsPharmacogeneticsPharmaceutical Preparations

Identifiers

PMID20350130
PMCPMC3098752

What OpenQuestion holds

Textmetadata
LicenceTDM
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.