講題：Center for Artificial Intelligence in Medicine, Chang Gung Memorial Hospital
講者：陳哲楷博士後( Center for Artificial Intelligence in Medicine, Chang Gung Memorial Hospital)
時間：115年3月24日下午12：20-13：10
地點：民生校區五育樓401教室
摘要
Causal inference from observational data is challenging due to confounding and reverse causation. Mendelian randomization (MR) is a method that uses genetic variants as instrumental variables to infer the causal effect of a modifiable exposure on an outcome in the presence of unmeasured confounding. In this talk, I will introduce the basic concepts of MR and discuss methodological challenges such as weak instruments and heterogeneous causal mechanisms. I will also present empirical studies that apply MR and mediation analysis using large-scale biomedical databases, including the Taiwan Biobank, the UK Biobank, and the Genotype-Tissue Expression project, to investigate causal mechanisms underlying various diseases and potential drug targets.

Keywords: Causal inference, Mendelian randomization, weak instruments