Table 2.
Evidence-based pharmacogenomics and clinical implementation.
Associated drug | Genetic variant | Hypersensitivity | Ethnicity and Carriage rate (%) | Level of evidence | Stage of implementation |
---|---|---|---|---|---|
Abacavir | HLA-B*57:01 | Hypersensitivity syndrome (NOT SJS/TEN) [2] |
|
||
Allopurinol | HLA-B*58:01 | SJS/TEN and DRESS [5] |
|
|
|
Carbamazepine | HLA-B*15:02 | SJS/TEN [3,27,31] |
|
|
|
HLA-A*31:01 | SJS/TEN and DRESS and MPE [27,31] |
|
|
|
|
Dapsone | HLA-B*13:01 | DRESS and SJS/TEN [4] |
|
|
Not available |
Oxcarbazepine | HLA-B*15:02 | SJS/TEN [29] |
|
|
|
Phenytoin | CYP2C9*3 | SJS/TEN and DRESS and MPE [28] |
|
|
|
HLA-B*15:02 | SJS/TEN and DRESS [28] |
|
|
|
|
Vancomycin | HLA-A*32:01 | DRESS [30] |
|
|
|
CPIC, Clinical Pharmacogenetics Implementation Consortium (https://cpicpgx.org); CYP, Cytochromes P450; DRESS, drug reaction with eosinophilia and systemic symptoms; EMA, European Medicines Agency; FDA, Food and Drug Administration; HLA, human leukocyte antigen; MPE, maculopapular eruption; PharmGKB, a pharmacogenomics knowledge resource (https://www.pharmgkb.org); PMDA, Pharmaceuticals and Medical Devices Agency in Japan; PGx, pharmacogenomics; SJS/TEN, Stevens-Johnson syndrome and toxic epidermal necrolysis; TFDA, Taiwan Food and Drug Administration.
The levels of evidence graded by the Clinical Pharmacogenetics Implementation Consortium as defined at https://cpicpgx.org/levels-of-evidence
PharmGKB Clinical Annotation Levels of Evidence as defined at https://www.pharmgkb.org/page/clinAnnLevels
PharmGKB Drug Label Annotations- https://www.pharmgkb.org/labelAnnotations
U.S FDA Table of Pharmacogenomic Biomarkers in Drug Labeling- https://www.fda.gov/drugs/science-and-research-drugs/table-pharmacogenomic-biomarkers-drug-labeling; https://www.fda.gov/media/124784/download.
NPV of HLA-B*58:01 for SJS/TEN and DRESS and Africans and Europeans is lower than Southeast Asians (explains approximately 60% of disease).
Actionable PGx- Product labeling includes specific actions to be taken based on the biomarker information.