» Articles » PMID: 27168098

Assessment of Pharmacogenetic Tests: Presenting Measures of Clinical Validity and Potential Population Impact in Association Studies

Overview
Date 2016 May 12
PMID 27168098
Citations 23
Authors
Affiliations
Soon will be listed here.
Abstract

The progressing discovery of genetic variants associated with drug-related adverse events has raised expectations for pharmacogenetic tests to improve drug efficacy and safety. To further the use of pharmacogenetics in health care, tests with sufficient potential to improve efficacy and safety, as reflected by good clinical validity and population impact, need to be identified. The potential benefit of pharmacogenetic tests is often concluded from the strength of the association between the variant and the adverse event; measures of clinical validity are generally not reported. This paper describes measures of clinical validity and potential population health impact that can be calculated from association studies. We explain how these measures are influenced by the strength of the association and by the frequencies of the variant and the adverse event. The measures are illustrated using examples of testing for HLA-B*5701 associated with abacavir-induced hypersensitivity and SLCO1B1 c.521T>C (*5) associated with simvastatin-induced adverse events.

Citing Articles

Polypharmacy and precision medicine.

Fujita K, Masnoon N, Mach J, Kouladjian Odonnell L, Hilmer S Camb Prism Precis Med. 2024; 1:e22.

PMID: 38550925 PMC: 10953761. DOI: 10.1017/pcm.2023.10.


Pharmacogenomic implications of the differential distribution of CYP2C9 metabolic phenotypes among Latin American populations.

Suarez-Kurtz G Front Pharmacol. 2023; 14:1246765.

PMID: 37693910 PMC: 10488705. DOI: 10.3389/fphar.2023.1246765.


Association between Genetic Variants and Peripheral Neuropathy in Patients with NSCLC Treated with First-Line Platinum-Based Therapy.

de Jong C, Herder G, van Haarlem S, van der Meer F, van Lindert A, Ten Heuvel A Genes (Basel). 2023; 14(1).

PMID: 36672910 PMC: 9858836. DOI: 10.3390/genes14010170.


Progressive multifocal leukoencephalopathy genetic risk variants for pharmacovigilance of immunosuppressant therapies.

Hatchwell E, Smith 3rd E, Jalilzadeh S, Bruno C, Taoufik Y, Hendel-Chavez H Front Neurol. 2023; 13:1016377.

PMID: 36588876 PMC: 9795231. DOI: 10.3389/fneur.2022.1016377.


Genotyping for HLA risk alleles versus patch tests to diagnose anti-seizure medication induced cutaneous adverse drug reactions.

Manson L, Chan P, Bohringer S, Guchelaar H Front Pharmacol. 2022; 13:1061419.

PMID: 36479194 PMC: 9719985. DOI: 10.3389/fphar.2022.1061419.


References
1.
Gurwitz D, Pirmohamed M . Pharmacogenomics: the importance of accurate phenotypes. Pharmacogenomics. 2010; 11(4):469-70. DOI: 10.2217/pgs.10.41. View

2.
Hetherington S, Hughes A, Mosteller M, Shortino D, Baker K, Spreen W . Genetic variations in HLA-B region and hypersensitivity reactions to abacavir. Lancet. 2002; 359(9312):1121-2. DOI: 10.1016/S0140-6736(02)08158-8. View

3.
Caudle K, Klein T, Hoffman J, Muller D, Whirl-Carrillo M, Gong L . Incorporation of pharmacogenomics into routine clinical practice: the Clinical Pharmacogenetics Implementation Consortium (CPIC) guideline development process. Curr Drug Metab. 2014; 15(2):209-17. PMC: 3977533. DOI: 10.2174/1389200215666140130124910. View

4.
Brunham L, Lansberg P, Zhang L, Miao F, Carter C, Hovingh G . Differential effect of the rs4149056 variant in SLCO1B1 on myopathy associated with simvastatin and atorvastatin. Pharmacogenomics J. 2011; 12(3):233-7. DOI: 10.1038/tpj.2010.92. View

5.
Ma J, Lee K, Kuo G . HLA-B*5701 testing to predict abacavir hypersensitivity. PLoS Curr. 2010; 2:RRN1203. PMC: 3000684. DOI: 10.1371/currents.RRN1203. View