| Literature DB >> 28029011 |
Sollip Kim1, Yeo Min Yun2, Hyo Jin Chae3, Hyun Jung Cho4, Misuk Ji5, In Suk Kim6, Kyung A Wee7, Woochang Lee8, Sang Hoon Song9, Hye In Woo10, Soo Youn Lee11, Sail Chun12.
Abstract
Pharmacogenetic testing for clinical applications is steadily increasing. Correct and adequate use of pharmacogenetic tests is important to reduce unnecessary medical costs and adverse patient outcomes. This document contains recommended pharmacogenetic testing guidelines for clinical application, interpretation, and result reporting through a literature review and evidence-based expert opinions for the clinical pharmacogenetic testing covered by public medical insurance in Korea. This document aims to improve the utility of pharmacogenetic testing in routine clinical settings.Entities:
Keywords: Clinical laboratory; Korea; Pharmacogenetics; Practice guideline; Testing
Mesh:
Substances:
Year: 2017 PMID: 28029011 PMCID: PMC5204002 DOI: 10.3343/alm.2017.37.2.180
Source DB: PubMed Journal: Ann Lab Med ISSN: 2234-3806 Impact factor: 3.464
Recommended warfarin doses (mg/day) to achieve a therapeutic INR based on CYP2C9 and VKORC1 genotype using the warfarin product insert approved by the United States Food and Drug Administration [592]
| GG | 5–7 | 5–7 | 3–4 | 3–4 | 3–4 | 0.5–2 |
| GA | 5–7 | 3–4 | 3–4 | 3–4 | 0.5–2 | 0.5–2 |
| AA | 3–4 | 3–4 | 0.5–2 | 0.5–2 | 0.5–2 | 0.5–2 |
Adapted from Johnson JA, et al. Clin Pharmacol Ther 2011;90:625-9 [5] and Whirl-Carrillo M, et al. Clin Pharmacol Ther 2012;92:414-7 [92], with permission of the PharmGKB and Stanford University.
Abbreviation: INR, international normalized ratio.
Clopidogrel therapy based on CYP2C19 genotype and phenotype for ACS/PCI patients initiating antiplatelet therapy [792]
| Likely phenotype | Genotypes | Examples of diplotypes | Implications for clopidogrel | Therapeutic recommendations |
|---|---|---|---|---|
| Ultra-rapid metabolizer: normal or increased activity (~5–30% of patients) | An individual carrying two increased-activity alleles (* | * | Increased platelet inhibition, decreased residual platelet aggregation | Clopidogrel label-recommended dosage and administration |
| Extensive metabolizer: homozygous wild- type or normal activity (~35–50% of patients) | An individual carrying two functional (* | * | Normal platelet inhibition, normal residual platelet aggregation | Clopidogrel label-recommended dosage and administration |
| Intermediate metabolizer: heterozygote or intermediate activity (~18–45% of patients) | An individual carrying one functional allele (* | * | Reduced platelet inhibition, increased residual platelet aggregation, increased risk for adverse cardiovascular events | Prasugrel or other alternative therapy (if no contraindication) |
| Poor metabolizer: homozygous variant, mutant, low, or deficient activity (~2–15% of patients) | An individual carrying two loss- of-function alleles (* | * | Significantly reduced platelet inhibition, increased residual platelet aggregation, increased risk for adverse cardiovascular events | Prasugrel or other alternative therapy (if no contraindication) |
Adapted from Scott SA, et al. Clin Pharmacol Ther 2013;94:317-23 [7] and Whirl-Carrillo M, et al. Clin Pharmacol Ther 2012;92:414-7 [92], with permission of the PharmGKB and Stanford University.
Abbreviation: ACS/PCI, acute coronary syndrome/percutaneous coronary intervention.
Assignment of likely phenotypes based on diplotypes of CYP2D6 and dosing recommendations for amitriptyline based on CYP2D6 phenotype [1092]
| Likely phenotype | Activity score | Genotypes | Examples of diplotypes | Implications | Therapeutic recommendation |
|---|---|---|---|---|---|
| Ultra-rapid metabolizer (~1–2%) | > 2.0 | An individual carrying duplications of functional alleles | (* | Increased metabolism of tricyclics to less active compounds when compared with extensive metabolizers. | Avoid tricyclic use due to potential lack of efficacy. Consider alternative drug not metabolized by CYP2D6. |
| Lower plasma concentrations will increase probability of pharmacotherapy failure. | If a tricyclic is warranted, consider increasing the starting dose. Utilize therapeutic drug monitoring to guide dose adjustments. | ||||
| Extensive metabolizer (~77–92%) | 1.0–2.0 | An individual carrying 2 functional alleles or 1 functional and 1 nonfunctional allele or 1 functional and 1 reduced-function allele | * | Normal metabolism of tricyclics. | Initiate therapy with recommended starting dose. |
| Intermediate metabolizer (~2–11%) | 0.5 | An individual carrying 1 reduced- function and 1 nonfunctional allele or 2 reduced-function alleles | * | Reduced metabolism of tricyclics to less active compounds when compared with extensive metabolizers. | Consider a 25% reduction in recommended starting dose. Utilize therapeutic drug monitoring to guide dose adjustments. |
| Higher plasma concentrations increase the probability of side effects. | |||||
| Poor metabolizer (~5–10%) | 0 | An individual carrying no functional alleles | * | Greatly reduced metabolism of tricyclics to less active compounds when compared with extensive metabolizers. | Avoid tricyclic use due to potential for side effects. Consider alternative drug not metabolized by CYP2D6. |
| Higher plasma concentrations increase the probability of side effects. | If a tricyclic is warranted, consider a 50% reduction in recommended starting dose. Utilize therapeutic drug monitoring to guide dose adjustments. |
Adapted from Hicks JK, et al. Clin Pharmacol Ther 2013;93:402-8 [10] and Whirl-Carrillo M, et al. Clin Pharmacol Ther 2012;92:414-7 [92], with permission of the PharmGKB and Stanford University.
Assignment of likely phenotypes based on diplotypes of NAT2 [666869]
| Likely phenotype | Genotype | Examples of diplotypes |
|---|---|---|
| Normal/high activity (rapid acetylator, 39–45%) | An individual carrying two rapid | * |
| Intermediate activity (intermediate acetylator, 44–50%) | An individual carrying one rapid | * |
| Low activity (slow acetylator, 8–11%) | An individual carrying two slow | * |
Assignment of likely phenotypes based on diplotypes of UGT1A1 [1592]
| Likely phenotype | Genotype | Examples of diplotypes |
|---|---|---|
| Extensive metabolizer: homozygous wild-type or normal activity | An individual carrying two function (* | * |
| Intermediate metabolizer: heterozygote or intermediate activity | An individual carrying one function (* | * |
| Poor metabolizer: compound heterozygote, homozygous variant or low activity | An individual carrying two decreased function alleles (* | * |
Adapted from Gammal RS, et al. Clin Pharmacol Ther 2016;99:363-9 [15] and Whirl-Carrillo M, et al. Clin Pharmacol Ther 2012;92:414-7 [92], with permission of the PharmGKB and Stanford University.
Assignment of likely thiopurine S-methyltransferase (TPMT) phenotypes based on genotype [1292]
| Likely phenotype | Genotypes | Examples of diplotypes |
|---|---|---|
| Homozygous wild-type or normal, high activity (constitutes ~86–97% of patients) | An individual carrying two or more functional (* | * |
| Heterozygote or intermediate activity (~3–14% of patients) | An individual carrying one functional allele (* | * |
| Homozygous variant, mutant, low, or deficient activity (~1 in 178 to 1 in 3,736 patients) | An individual carrying two nonfunctional alleles (* | * |
Adapted from Relling MV, et al. Clin Pharmacol Ther 2011;89:387-91 [12] and Whirl-Carrillo M, et al. Clin Pharmacol Ther 2012;92:414-7 [92], with permission of the PharmGKB and Stanford University.
Drug sensitivity based on EGFR genetic variation
| Major genetic variation | Nomenclature | Phenotype |
|---|---|---|
| G719S (exon 18) | NM_005228.3:c.2155G < A, NP_005219.2:p.Gly719Ser | TKI sensitivity |
| G719C (exon 18) | NM_005228.3:c.2155G < T, NP_005219.2:p.Gly719Cys | TKI sensitivity |
| G719A (exon 18) | NM_005228.3:c.2155G < C, NP_005219.2:p.Gly719Ala | TKI sensitivity |
| In-frame deletions (exon 19) | NM_005228.3:c.2235_2249del15, NP_005219.2:p.Glu746_Ala750del | TKI sensitivity |
| NM_005228.3:c.2236_2250del15, NP_005219.2:p.Glu746_Ala750del | TKI sensitivity | |
| NM_005228.3:c.2239_2248delinsC, NP_005219.2:p.Leu747_Ala750delinsPro | TKI sensitivity | |
| NM_005228.3:c.2240_2257del18, NP_005219.2:p.Leu747_Pro753delinsSer | TKI sensitivity | |
| T790M (exon 20) | NM_005228.3:c.2369C > T, NP_005219.2:p.Thr790Met | TKI resistance |
| L858R (exon 21) | NM_005228.3:c.2573T > G, NP_005219.2:p.Leu858Arg | TKI sensitivity |
| L861Q (exon 21) | NM_005228.3: c.2582T > A, NP_005219.2:p.Leu861Gln | TKI sensitivity |
Abbreviations: EGFR, epidermal growth factor receptor; TKI, tyrosine kinase inhibitor.