The study of cause-effect relationships from observational data has received a lot of attention in the empirical sciences, but it is still underdeveloped in the nutritional area. The construction of such a causal model would promote a better understanding about the human biological system. In this way, the goal of this project is the construction of graphical causal models for nutritional disorders using genotypic and phenotypic information of the individuals. To achieve this challenging aim, the first step is the selection of the genetic variants associated with the phenotypic variables considered important in the study of obesity. After that, the construction of graphical causal models will be done using a causal structure learning algorithms such as the Fast Causal Inference (FCI).
News published in Agência FAPESP Newsletter about the scholarship: