1. Understanding how genetic factors influence treatment variability is central to precision medicine. Linking genomic data with real-world health records allows the assessment of treatment response at scale. Using longitudinal data from the Estonian Biobank, we examine how genetic variation contributes to weight gain in schizophrenia, to variability in dose requirements across medications, and to adverse effects associated with antidepressant use. These findings underscore the value of integrating genomics to individualize treatment and optimize clinical decision-making, and highlight the potential of large-scale electronic health data in advancing precision medicine.
Title: Genomic effects on treatment, dosing, and side effects: insights from real-world biobank data
Speaker: Maris Alver; Estonia
2. Guðmundur Einarsson, PhD, is an applied mathematician and statistical geneticist at Amgen deCODE genetics in Reykjavík. He builds scalable omics pipelines and applies GWAS, PRS, and Mendelian randomization to illuminate risk and treatment outcomes across common diseases.
Title: Large scale prescription drug data and pharmacogenetics
Speaker: Guðmundur Einarsson, Iceland
ECNP-REALMENT webinar series: The ECNP-REALMENT webinar series provides researchers and clinicians with new insights into precision psychiatry and the optimization of treatments for severe mental disorders. Aiming to foster discussion and encourage collaboration across the psychiatric research community, the series covers topics ranging from genetics, predictive modelling, and artificial intelligence to biomarkers and strategies for translating research into clinical practice.
Each webinar features unique perspectives from project partners, promoting the exchange of ideas and supporting the application of scientific discoveries to improve patient outcomes.
