Leveraging pharmacogenomic enrichment score to predict treatment outcomes in drug-naïve patients with major depressive disorder
Hui Hua Chang, Ping Lin Tsai, Yuan-Shuo Hsueh · FENS Forum 2024
Mental disorders contribute significantly to the global burden, and pharmacological therapy is the primary approach for managing major depressive disorder (MDD). However, the current response to treatment is not satisfactory, highlighting the need for effective strategies to predict the effectiveness of antidepressants. This study aimed to analyze a polygenic risk score and utilize a pharmacogenomic enrichment score (PES) to identify potential drugs and propose a viable treatment strategy for MDD patients. MDD data from the Taiwan Biobank were filtered using various p-value thresholds. Gene-se
ePoster · Neuroscience