Title |
Dosing recommendations for pharmacogenetic interactions related to drug metabolism
|
---|---|
Published in |
Pharmacogenetics and Genomics, July 2016
|
DOI | 10.1097/fpc.0000000000000220 |
Pubmed ID | |
Authors |
Kelly K. Filipski, Michael A. Pacanowski, Anuradha Ramamoorthy, William Gregory Feero, Andrew N. Freedman |
Abstract |
Pharmacogenomic studies have established the important contribution of drug-metabolizing enzyme genotype toward drug toxicity and treatment failure; however, clinical implementation of pharmacogenomics has been slow. The aim of this study was to systematically review the information on drug-metabolizing enzyme pharmacogenomics available in the US drug labeling, practice guidelines, and recommendations. Drug-metabolizing enzyme genotype and phenotype information was assessed in US FDA drug labeling, clinical practice guidelines, and independent technology assessors to evaluate the consistency in information sources for healthcare providers. Eighty four gene-drug pairs were identified as having drug-metabolizing enzyme genotype or phenotype information within the label. The manner in which pharmacogenomic information was presented was heterogeneous both within the label and between clinical practice recommendations. For proper implementation of pharmacogenomics in clinical practice, information sources for healthcare providers should relay consistent and clear information for the appropriate use of biomarkers. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 10 | 48% |
Venezuela, Bolivarian Republic of | 2 | 10% |
United States | 1 | 5% |
Unknown | 8 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 11 | 52% |
Practitioners (doctors, other healthcare professionals) | 8 | 38% |
Scientists | 2 | 10% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 3% |
France | 1 | 3% |
Unknown | 32 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 7 | 21% |
Researcher | 7 | 21% |
Student > Master | 4 | 12% |
Librarian | 2 | 6% |
Student > Ph. D. Student | 2 | 6% |
Other | 7 | 21% |
Unknown | 5 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 8 | 24% |
Pharmacology, Toxicology and Pharmaceutical Science | 7 | 21% |
Biochemistry, Genetics and Molecular Biology | 5 | 15% |
Agricultural and Biological Sciences | 3 | 9% |
Nursing and Health Professions | 1 | 3% |
Other | 1 | 3% |
Unknown | 9 | 26% |