Cited by 157Pharmacogenetics and Drug MetabolismNutrition, Genetics, and DiseaseComputational Drug Discovery Methods

Omics and Drug Response

Meyer, Urs A., Zanger, Ulrich M., Schwab, Matthias·2013·Annual Review of Pharmacology and Toxicology

Abstract

A new generation of technologies commonly named omics permits assessment of the entirety of the components of biological systems and produces an explosion of data and a major shift in our concepts of disease. These technologies will likely shape the future of health care. One aspect of these advances is that the data generated document the uniqueness of each human being in regard to disease risk and treatment response. These developments have reemphasized the concept of personalized medicine. Here we review the impact of omics technologies on one key aspect of personalized medicine: the individual drug response. We describe how knowledge of different omics may affect treatment decisions, namely drug choice and drug dose, and how it can be used to improve clinical outcomes.

Integrity signals

Registry

Crossref · 10.1146/annurev-pharmtox-010510-100502

Cites

195 of 195 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

1 retracted

Flagged first, then by citations

1 of the 196 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Meyer, U. A., Zanger, U. M., & Schwab, M.
Affiliations
  • University of Basel (CH)
  • Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology (DE)
  • Universitätsklinikum Tübingen (DE)
Venue
Annual Review of Pharmacology and Toxicology
Published
2013-01-06
Volume
53
Issue
1
Pages
475-502
ISSN
  • 0362-1642 (ISSN-L)
  • 1545-4304
OpenAlex
W2098156682
Cited by
157
References
196
Citations by year
2026: 3 · 2025: 9 · 2024: 6 · 2023: 5 · 2022: 10 · 2021: 5 · 2020: 12 · 2019: 17 · 2018: 10 · 2017: 15 · 2016: 12 · 2015: 17 · 2014: 17 · 2013: 14 · 2012: 3
FWCI
1.58
Type
journal article
Language
en
Open access
closed
Locations
  • The Annual Review of Pharmacology and Toxicology (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Robert Bosch Stiftung
  • Bundesministerium für Bildung und Forschung
  • National Institutes of Health
  • National Human Genome Research Institute
Topics
  • Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmacology › Pharmacogenetics and Drug Metabolism
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Nutrition, Genetics, and Disease
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
Keywords
omics technologies, drug response, personalized medicine, pharmacogenomics, drug selection, drug dosing, treatment response variability, clinical outcomes, precision medicine
MeSH terms
Animals, Humans, Pharmacogenetics, Genomics, Precision Medicine

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review