Evidence map›Paper›PMID 27168098›Full record

ArticleThe pharmacogenomics journal2017

Assessment of pharmacogenetic tests: presenting measures of clinical validity and potential population impact in association studies.

E C M Tonk, D Gurwitz, A-H Maitland-van der Zee, A C J W Janssens

Open access · hybridAbstract read
In one paragraph

Article in The pharmacogenomics journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 5% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Polypharmacy and precision medicine.Cambridge prisms. Precision medicine · 2023
    Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. HLA-associated adverse drug reactions - scoping review.Clinical and translational science · 2021
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. HLA associations with infliximab-induced liver injury.The pharmacogenomics journal · 2020
    Article
  19. Article
  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

4 authors at 4 institutions in 3 countries.

E C M TonkDepartment of Clinical Genetics/EMGO Institute for Health and Care Research, Section Community Genetics, VU University Medical Center, Amsterdam, The Netherlands.
D GurwitzDepartment of Human Molecular Genetics and Biochemistry, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.
A-H Maitland-van der ZeeUtrecht Institute of Pharmaceutical Sciences, Division of Pharmacoepidemiology &Clinical Pharmacology, Utrecht University, Utrecht, The Netherlands.
A C J W JanssensDepartment of Clinical Genetics/EMGO Institute for Health and Care Research, Section Community Genetics, VU University Medical Center, Amsterdam, The Netherlands.
EMGO Institute for Health and Care Research · NLEmory University · USTel Aviv University · ILUtrecht University · NL

Funding

European Research Council 310884
6 · The paper itself

Abstract

The progressing discovery of genetic variants associated with drug-related adverse events has raised expectations for pharmacogenetic tests to improve drug efficacy and safety. To further the use of pharmacogenetics in health care, tests with sufficient potential to improve efficacy and safety, as reflected by good clinical validity and population impact, need to be identified. The potential benefit of pharmacogenetic tests is often concluded from the strength of the association between the variant and the adverse event; measures of clinical validity are generally not reported. This paper describes measures of clinical validity and potential population health impact that can be calculated from association studies. We explain how these measures are influenced by the strength of the association and by the frequencies of the variant and the adverse event. The measures are illustrated using examples of testing for HLA-B*5701 associated with abacavir-induced hypersensitivity and SLCO1B1 c.521T>C (*5) associated with simvastatin-induced adverse events.

Indexed as

AbacavirDideoxynucleosidesDrug HypersensitivityDrug-Related Side Effects and Adverse ReactionsGenetic TestingGenetic VariationHLA-B AntigensHumansPharmacogeneticsSimvastatinAbacavirDideoxynucleosidesHLA-B AntigensSimvastatin

Identifiers

PMID27168098
PMCPMC5549182
OpenAlexW2384461891

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.