Evidence map›Paper›PMID 27864205›Full record

ReviewAmerican journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists2016

Evidence and resources to implement pharmacogenetic knowledge for precision medicine.

Kelly E Caudle, Roseann S Gammal, Michelle Whirl-Carrillo, James M Hoffman, Mary V Relling, Teri E Klein

Abstract readReview
In one paragraph

Review in American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
–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

48 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Unlocking Performance: Pharmacogenomic Insights for Athletes.Sports medicine international open · 2026
    Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. How to Implement a Pharmacogenetics Service at your Institution.Journal of the American College of Clinical Pharmacy : JACCP · 2022
    Article
  15. Review
  16. Advancing Pharmacogenomics from Single-Gene to Preemptive Testing.Annual review of genomics and human genetics · 2022
    Review
  17. Article
  18. Article
  19. Moving Pharmacogenetics Into Practice: It's All About the Evidence!Clinical pharmacology and therapeutics · 2021
    Review
  20. 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

6 authors.

Kelly E CaudleDepartment of Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, TN. kelly.caudle@stjude.org.
Roseann S GammalDepartment of Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, TN.
Michelle Whirl-CarrilloPharmacogenomics Knowledgebase (PharmGKB), Stanford University School of Medicine, Palo Alto, CA.
James M HoffmanDepartment of Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, TN.
Mary V RellingDepartment of Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, TN.
Teri E KleinPharmacogenomics Knowledgebase (PharmGKB), Stanford University School of Medicine, Palo Alto, CA.

Funding

PharmGKB: pharmacogenomics knowledge for precision medicineR24GM061374 · NIGMS · STANFORD UNIVERSITY · PI ALTMAN, RUSS BIAGIO, KLEIN, TERI ELLEN · 2010 to 2018
$25.2M
Clinical Pharmacogenetics Implementation Consortium (CPIC)R24GM115264 · NIGMS · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI KLEIN, TERI ELLEN, RELLING, MARY V · 2015 to 2017
$3.6M
NIGMS NIH HHS R24 GM061374NIGMS NIH HHS R24 GM115264
6 · The paper itself

Abstract

purposeThe current state of pharmacogenetic data curation and dissemination is described, and evidence-based resources for applying pharmacogenetic data in clinical practice are reviewed. SUMMARY: Implementation of pharmacogenetics in clinical practice has been relatively slow despite substantial scientific progress in understanding linkages between genetic variation and variability of drug response and effect. One factor that has inhibited the adoption of genetic data to guide medication use is a lack of knowledge of how to translate genetic test results into clinical action based on currently available evidence. Other implementation challenges include controversy over selection of appropriate evidentiary thresholds for routine clinical implementation of pharmacogenetic data and the difficulty of compiling scientific data to support clinical recommendations given that large randomized controlled trials to demonstrate the utility of pharmacogenetic testing are not feasible or are not considered necessary to establish clinical utility. Organizations such as the Clinical Pharmacogenetics Implementation Consortium (CPIC) and the Pharmacogenomics Knowledgebase (PharmGKB) systematically evaluate emerging evidence of pharmacogenomic linkages and publish evidence-based prescribing recommendations to inform clinical practice. Both CPIC and PharmGKB provide online resources that facilitate the interpretation of genetic test results and provide prescribing recommendations for specific gene-drug pairs.

conclusionResources provided by organizations such as CPIC and PharmGKB, which use standardized approaches to evaluate the literature and provide clinical guidance for a growing number of gene-drug pairs, are essential for the implementation of pharmacogenetics into routine clinical practice.

Indexed as

Databases, GeneticEvidence-Based MedicineHumansPharmacogeneticsPrecision MedicineResource AllocationCPICevidenceguidelinepharmacogeneticspharmacogenomicsPharmGKBprecision medicine

Identifiers

PMID27864205
PMCPMC5117674

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.