Pharmacogenomic testing in psychiatry is becoming an established clinical procedure. Several vendors provide clinical interpretation of combinatorial pharmacogenomic testing of gene variants that have documented predictive implications regarding either pharmacologic response or adverse effects in depression and other psychiatric conditions. Such gene profiles have demonstrated improvements in outcome in depression, and reduction of cost of care of patients with inadequate clinical response. Additionally, several new gene variants are being studied to predict specific response in individuals. Many of these genes have demonstrated a role in the pathophysiology of depression or specific depressive symptoms. This article reviews the current state-of-the-art application of psychiatric pharmacogenomics.
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http://dx.doi.org/10.1016/j.cll.2016.05.001 | DOI Listing |
J Cannabis Res
January 2025
Division of General Internal Medicine, Mayo Clinic College of Medicine and Science, 200 First St SW, Rochester, MN, 55905, USA.
Background: Differences in cannabinoid metabolism and patient responses can arise even with equivalent doses and formulations. Genetic polymorphisms in genes responsible for cannabinoid metabolism and medications that alter CYP450 pathways responsible for metabolism of cannabinoids may account for some of this variability.
Materials And Methods: A retrospective chart review was conducted on a cohort of unselected patients who had previously completed pharmacogenomic testing and reported oral cannabis use, as defined as "oral" or "by mouth" route of administration.
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 PDFPsychopharmacol Bull
January 2025
Sychev, corresponding member of the Academy of Sciences of Russia, MD, PhD, MD, professor, rector, head of clinical pharmacology and therapy department, Russian Medical Academy of Continuous Professional Education of the Ministry of Health of the Russian Federation, Moscow, Russian Federation.
Introduction: Alcoholic hallucinosis (AH) is one of the severe complications of chronic alcoholism, characterized by psychotic symptoms such as auditory hallucinations and delusions. Haloperidol is widely used to treat AH; however, its therapy is often complicated by side effects. A personalized approach using pharmacogenetic testing (particularly the CYP2D6 polymorphism) allows individualization of haloperidol dosage, improving both safety and efficacy of therapy.
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 PDFJ Am Assoc Nurse Pract
December 2024
College of Graduate Nursing, Western University of Health Sciences, Pomona, California.
Depression is a leading cause of disability worldwide, with treatment-resistant depression (TRD) affecting approximately 30% of patients who do not respond to standard antidepressants. In underserved and uninsured communities, where Nurse Practitioners (NPs) often provide essential mental health care, the challenges of managing TRD are compounded by limited access to specialized services. Pharmacogenomic testing offers a promising approach to overcoming these barriers by providing personalized medication recommendations based on a patient's genetic profile.
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