A multi-ancestry genome-wide association study and evaluation of polygenic scores of LDL-C levels.

The genetic determinants of low-density lipoprotein cholesterol (LDL-C) levels in blood have been predominantly explored in European populations and remain poorly understood in Middle Eastern populations. We investigated the genetic architecture of LDL-C variation in Qatar by conducting a genome-wide association study (GWAS) on serum LDL-C levels using whole genome sequencing data of 13,701 individuals (discovery; n = 5,939, replication; n = 7,762) from the population-based Qatar Biobank (QBB) cohort. We replicated 168 previously reported loci from the largest LDL-C GWAS by the Global Lipids Genetics Consortium (GLGC), with high correlation in allele frequencies (R = 0.

Dihydropyrimidine Dehydrogenase Deficiency (DPYD) Genotyping-Guided Fluoropyrimidine-Based Adjuvant Chemotherapy for Breast Cancer. A Cost-Effectiveness Analysis.

Background And Objective: While standard doses of adjuvant fluoropyrimidine-based chemotherapies are generally safe for most patients, the risk of severe adverse drug reactions (ADRs) is increased for those with dihydropyrimidine dehydrogenase deficiency (DPYD), a genetic variation that affects drug metabolism. The objective of this study was to examine the cost effectiveness of offering DPYD pharmacogenetic-guided care, where genetic testing informs personalized dosing versus the current standard of care (SoC), which involves administering fluoropyrimidine-based therapies without prior genetic screening, for local or metastatic breast cancer patients in Qatar.

Methods: We developed a two-stage decision analysis, with an analytic tree model over a 6-month period, followed by a life-table Markov model over a lifetime horizon.

Cost-effectiveness analysis of genotype-guided optimization of major depression treatment in Qatar.

Background: Pharmacogenetic testing improves the efficacy and safety of antidepressant pharmacotherapy for moderate-severe major depressive disorder by identifying genetic variations that influence medication metabolism, and adjusting treatment regimens accordingly. This study aims to assess the cost-effectiveness of implementing a pharmacogenetic testing approach to guide the prescription of antidepressants.

Methods: From the public hospital perspective, we developed a two-stage decision tree diagram of a short-term 6-week follow up, and a lifetime Markov model with 3-month cycles.

Patients' insights into unused medications during the COVID-19 outbreak: A qualitative study.

Background: The COVID-19 outbreak had significant global healthcare implications, including the use of medications. This is specifically evident in the surge in use of some medication and a decline in the use of others. As a result, some medications end up unused, which may have subsequent health, economic, and environmental impacts.