Background: Pharmacogenetic (PGx) testing is a potentially important, but understudied approach to precision medicine that could improve prescribing practices for antidepressants (ADs) in patients with Major Depressive Disorder (MDD). Thus, it is important to understand the scope of its potential impact and to identify patients who may benefit most from PGx-guided care.
Methods: Participants were treatment-seeking US veterans (N=1149) with MDD enrolled in the Precision Medicine in Mental Health Care study, a pragmatic multi-site, randomized, controlled trial that examines the utility of PGx testing in the context of pharmacotherapy for MDD. We report the prevalence of ADs with predicted moderate and clinically significant gene-drug interaction potential based on next-intended treatment. We also examined demographic and treatment history characteristics as predictors of the gene-drug interaction potential of participants' next-intended treatment.
Results: Prevalence of the next-intended AD with moderate or clinically significant gene-drug interaction was 45.1% and19.3%. Previous treatment with an AD in the past two years was associated with a 1.59 increased likelihood of having a next-intended AD treatment with predicted clinically significant gene-drug interaction (95% CI: 1.08-2.35).
Limitations: The gene-drug interaction potential of ADs is specific to the PGx test panel used in this study and may not generalize to other PGx test panels.
Conclusions: PGx testing could benefit one in five patients prescribed ADs with clinically significant gene-drug interaction potential. Patients with prior AD treatment are more likely to have an AD with significant gene-drug interaction potential as their next-intended treatment and therefore may benefit most from PGx testing.
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http://dx.doi.org/10.1016/j.jad.2021.01.034 | DOI Listing |
Eur J Breast Health
January 2025
Department of Biomedical Engineering, Faculty of Engineering, İzmir University of Economics, İzmir, Turkey.
Discov Oncol
December 2024
Dr B R Ambedkar Center for Biomedical Research, University of Delhi, Delhi, 110007, India.
Cancer, a leading cause of death worldwide, is projected to increase by 76.6% in new cases and 89.7% in mortality by 2050 (WHO 2022).
View Article and Find Full Text PDFDiscov Oncol
December 2024
School of Clinical Medicine, Dali University, Dali, 671000, Yunnan, People's Republic of China.
Objective: Searching for potential biomarkers and therapeutic targets for early diagnosis of gynecological tumors to improve patient survival.
Methods: Microarray datasets of cervical cancer (CC) and ovarian cancer (OC) were downloaded from the Gene Expression Omnibus (GEO) database, then, differential gene expression between cancerous and normal tissues in the datasets was analyzed. Weighted gene co-expression network analysis (WGCNA) was performed to screen for co-expression modules associated with CC and OC.
Int J Mol Sci
November 2024
Computational Genomics Division, National Institute of Genomic Medicine, Mexico City 14610, Mexico.
HER2-positive (HER2+) breast cancer is characterized by the overexpression of the ERBB2 (HER2) gene, which promotes aggressive tumor growth and poor prognosis. Targeting the ERBB2 pathway with single-agent therapies has shown limited efficacy due to resistance mechanisms and the complexity of gene interactions within the tumor microenvironment. This study aims to explore potential drug synergies by analyzing gene-drug interactions and combination therapies that target the ERBB2 pathway in HER2+ breast tumors.
View Article and Find Full Text PDFEur J Hum Genet
December 2024
Department of Family Medicine, Public Health and Primary Care (PHEG), Mayo Clinic, Rochester, MN, USA.
Aligned with the mission of the Dutch Pharmacogenetics Working Group (DPWG) to promote the implementation of pharmacogenetics (PGx), this guideline is specifically designed to optimize pharmacotherapy of cholesterol lowering medication (statins) and glucose lowering medication (sulfonylureas). The SLCO1B1 c.521 T > C variant reduces the activity of the SLCO1B1 transporter involved in statin transport out of the blood into the liver.
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