Cardiovascular pharmacogenomics and individualized drug therapy
Open accessAbstract
The goal of individualized drug therapy requires physicians to be able to accurately predict an individual's response to a drug. Both genetic and environmental factors are known to influence drug response. 'Pharmacogenetics' is the study of the role of inheritance in variation in drug response phenotypes. Pharmacogenetics is now moving genome-wide to become 'pharmacogenomics', resulting in the recognition of novel biomarkers for individual variation in drug response. This article reviews the development, promise and challenges facing pharmacogenomics, using examples of drugs used to treat or prevent cardiovascular disease.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
Dose-response heterogeneity applies to the physiological decline associated with aging.
“Dose-response heterogeneity is not exclusive to pharmaceutical treatments; it is also applies to the physiological decline associated with aging [594].”
From Global consensus on optimal exercise recommendations for enhancing healthy longevity in older adults (ICFSR) (2025) · cites this paper as [594]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 45 · Cited by 72
Research works printed but not linked: 1
- [42]Pei H FKBP51 acts as a scaffolding protein to regulate Akt phosphorylation Cancer Cell in press
- Authors
- Pereira, N. L., & Weinshilboum, R. M.
- Affiliations
- Mayo Clinic (US)
- Corresponding author
- Pereira, Naveen L.
- Venue
- Nature Reviews Cardiology
- Published
- 2009-08-25
- Volume
- 6
- Issue
- 10
- Pages
- 632-638
- ISSN
- 1759-5002 (ISSN-L)
- 1759-5010
- PMC
- PMC3108370
- OpenAlex
- W2019271482
- Cited by
- 72
- References
- 45
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 11 · 2023: 5 · 2022: 4 · 2021: 9 · 2020: 2 · 2019: 5 · 2018: 1 · 2017: 3 · 2016: 3 · 2015: 3 · 2014: 2 · 2013: 3 · 2012: 3
- FWCI
- 0.76
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Reviews Cardiology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Heart, Lung, and Blood Institute (U10HL084904, U01HL084904, HL 84904)
- National Cancer Institute (R01CA132780)
- National Institute of General Medical Sciences (U-01 GM61388, R01-GM-28157, U01GM061388, R01GM028157)
- National Center for Research Resources (UL1RR24150, UL1RR024150)
- Topics
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmacology › Pharmacogenetics and Drug Metabolism
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Nutrition, Genetics, and Disease
- Keywords
- pharmacogenetics, individualized drug therapy, drug response prediction, genetic variation in drug response, cardiovascular disease treatment, cardiovascular disease prevention, treatment response biomarkers
- MeSH terms
- Cardiovascular Agents, Cardiovascular Diseases, Genetic Testing, Genotype, Humans, Pedigree, Pharmacogenetics, Phenotype, Genetic Variation, Patient Selection, 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