Evidence map›Paper›PMID 35971800›Full record

ReviewBasic & clinical pharmacology & toxicology2022

A paradigm shift in pharmacogenomics: From candidate polymorphisms to comprehensive sequencing.

Yitian Zhou, Stefania Koutsilieri, Erik Eliasson, Volker M Lauschke

Abstract readReview
In one paragraph

Review in Basic & clinical pharmacology & toxicology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Genotype-Guided Antiplatelet Therapy: JACC Review Topic of the Week.Journal of the American College of Cardiology · 2024
    Review
  5. Review
  6. Review
  7. Clinical Implementation of Rare and NovelInternational journal of biological sciences · 2024
    Review
  8. Genes · 2023
    Article
  9. Article
  10. Review
  11. Review
  12. Characterization of NovelJournal of personalized medicine · 2022
    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.

Yitian ZhouDepartment of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0003-3066-5444
Stefania KoutsilieriDepartment of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0001-7067-0139
Erik EliassonDepartment of Laboratory Medicine, Karolinska Institutet, Stockholm, Sweden.
Volker M LauschkeDepartment of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-1140-6204

Funding

Onassis FoundationStockholm Region, CIMED and the Medical Diagnostics function at Karolinska University Hospital
6 · The paper itself

Abstract

Genetic factors have long been recognized as important determinants of interindividual variability in drug efficacy and toxicity. However, despite the increasing number of established gene-drug associations, candidate polymorphisms can only explain a fraction of the genetically encoded functional variability in drug disposition. Advancements in genetic profiling methods now allow to analyse the landscape of human pharmacogenetic variations comprehensively, which opens new opportunities to identify novel factors that could explain the "missing heritability." Here, we provide an updated overview of the landscape of pharmacogenomic variability based on recent analyses of population-scale sequencing projects. We then summarize the current state-of-the-art how the functional consequences of variants with unknown effects can be quantitatively estimated while discussing challenges and peculiarities that are specific to pharmacogenes. In the last sections, we discuss the importance of considering ethnogeographic diversity to provide equitable benefits of pharmacogenomics and summarize current roadblocks for the implementation of sequencing-based guidance of clinical decision-making. Based on the current state of the field, we conclude that testing is likely to gradually shift from the interrogation of selected candidate polymorphisms to comprehensive sequencing, which allows to consider the full spectrum of pharmacogenomic variations for a true personalization of genomic prescribing.

Indexed as

High-Throughput Nucleotide SequencingPharmacogeneticsHumansPolymorphism, GeneticSequence Analysis, DNAcomputational predictionnext-generation sequencingpopulation diversityprecision medicinerare variants

Identifiers

PMID35971800
PMCPMC9805052

What OpenQuestion holds

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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.