Background: Pharmacogenomics has the potential to improve patient outcomes through predicting drug response. We designed and evaluated the analytical performance of a custom OpenArray® pharmacogenomics panel targeting 478 single-nucleotide variants (SNVs).
Methods: Forty Coriell Institute cell line (CCL) DNA samples and DNA isolated from 28 whole-blood samples were used for accuracy evaluation. Genotyping calls were compared to at least 1 reference method: next-generation sequencing, Sequenom MassARRAY®, or Sanger sequencing. For precision evaluation, 23 CCL samples were analyzed 3 times and reproducibility of the assays was assessed. For sensitivity evaluation, 6 CCL samples and 5 whole-blood DNA samples were analyzed at DNA concentrations of 10 ng/µL and 50 ng/µL, and their reproducibility and genotyping call rates were compared.
Results: For 443 variants, all samples assayed had concordant calls with at least 1 reference genotype and also demonstrated reproducibility. However, 6 of these 443 variants showed an unsatisfactory performance, such as low PCR amplification or insufficient separation of genotypes in scatter plots. Call rates were comparable between 50 ng/µL DNA (99.6%) and 10 ng/µL (99.2%). Use of 10 ng/µL DNA resulted in an incorrect call for a single sample for a single variant. Thus, as recommended by the manufacturer, 50 ng/µL is the preferred concentration for patient genotyping.
Conclusions: We evaluated a custom-designed pharmacogenomics panel and found that it reliably interrogated 437 variants. Clinically actionable results from selected variants on this panel are currently used in clinical studies employing pharmacogenomics for clinical decision-making.
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http://dx.doi.org/10.1093/jalm/jfab056 | DOI Listing |
Ann Acad Med Singap
December 2024
Institute of Mental Health, Singapore.
Introduction: Pharmacogenomic testing in psychiatry is an emerging area with potential clinical application of guiding medication choice and dosing. Interest has been fanned by commercial pharmacogenomic providers who have commonly marketed combinatorial panels that are direct-to-consumer. However, this has not been adopted widely due to a combination of barriers that include a varying evidence base, clinician and patient familiarity and acceptance, uncertainty about cost-effectiveness, and regulatory requirements.
View Article and Find Full Text PDFForensic Sci Int Genet
December 2024
Service de Pharmacologie-Toxicologie et Pharmacovigilance, Centre Hospitalo-Universitaire d'Angers, Angers, France.
Interpreting postmortem concentrations of 3,4-Methylenedioxymethamphetamine (MDMA) remains challenging due to the wide range of reported results and the potential idiosyncratic nature of MDMA toxicity. Consequently, forensic pathologists often rely on a body of evidence to establish conclusions regarding the cause and the manner of death in death involving MDMA. Given these issues, implementing pharmacogenetics' (PGx)' testing may be beneficial.
View Article and Find Full Text PDFJ Pain Res
December 2024
Committee on Clinical Pharmacology and Pharmacogenomics, University of Chicago, Chicago, IL, USA.
Background: Cancer patients frequently suffer from pain, often managed with opioids. However, undertreated pain remains a significant concern. Opioid effectiveness varies due to genetic differences in how individuals metabolize some of these medications.
View Article and Find Full Text PDFBMC Med Genomics
December 2024
Pharmaceutical Care, Department of Pharmaceutical Sciences, University of Basel, Basel, Switzerland.
Background: Postoperative pain is a common complication following surgery, with severity and duration varying between patients. Chronic postoperative pain after inguinal hernia surgery has an incidence rate of approximately 10%. Risk factors for acute and chronic pain following hernia surgery include age, sex, psychosocial factors, and demographic background.
View Article and Find Full Text PDFJ Appl Lab Med
December 2024
Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Background: Pharmacogenomics has demonstrated benefits for clinical care, including a reduction in adverse events and cost savings. However, barriers in expanded implementation of pharmacogenomics testing include prolonged turnaround times and integration of results into the electronic health record with clinical decision support. A clinical workflow was developed and implemented to facilitate in-house result generation and incorporation into the electronic health record at a large academic medical center.
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