Evidence map›Paper›PMID 29844222›Full record

ReviewCold Spring Harbor perspectives in medicine2019

The Role of Next-Generation Sequencing in Pharmacogenetics and Pharmacogenomics.

Ute I Schwarz, Markus Gulilat, Richard B Kim

Abstract readReview
In one paragraph

Review in Cold Spring Harbor perspectives in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Pharmacogenetics: Opportunities for theAnnual review of pharmacology and toxicology · 2025
    Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. The Utility of Mixed Effects Models in the Evaluation of Complex Genomic Traits In Vitro.Drug metabolism and disposition: the biological fate of chemicals · 2023
    Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. 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

3 authors.

Ute I SchwarzDivision of Clinical Pharmacology, Department of Medicine, Western University, London, Ontario N6A 5A5, Canada.
Markus GulilatDepartment of Physiology and Pharmacology, Western University, London, Ontario N6A 5A5, Canada.
Richard B KimDivision of Clinical Pharmacology, Department of Medicine, Western University, London, Ontario N6A 5A5, Canada.

Funding

CIHR FRN-117588
6 · The paper itself

Abstract

Inherited genetic variations in pharmacogenetic loci are widely acknowledged as important determinants of phenotypic differences in drug response, and may be actionable in the clinic. However, recent studies suggest that a considerable number of novel rare variants in pharmacogenes likely contribute to a still unexplained fraction of the observed interindividual variability. Next-generation sequencing (NGS) represents a rapid, relatively inexpensive, large-scale DNA sequencing technology with potential relevance as a comprehensive pharmacogenetic genotyping platform to identify genetic variation related to drug therapy. However, many obstacles remain before the clinical use of NGS-based test results, including technical challenges, functional interpretation, and strict requirements for diagnostic tests. Advanced computational analyses, high-throughput screening methodologies, and generation of shared resources with cell-based and clinical information will facilitate the integration of NGS data into candidate genotyping approaches, likely enhancing future drug phenotype predictions in patients.

Indexed as

Computational BiologyGenetic VariationHigh-Throughput Nucleotide SequencingHigh-Throughput Screening AssaysHumansPharmacogeneticsPhenotypeSequence Analysis, DNA

Identifiers

PMID29844222
PMCPMC6360866

What OpenQuestion holds

Textmetadata
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.