Project Summary: I am manager of the 4-years group (G4) in Bioinformatics and Biostatistics applied to infectious diseases. As mathematician specialized in statistical genetics, my research project aims at identifying the environmental factors and the genetic factors as well as their interactions implicated in malaria and arboviral infections and in the various clinical manifestations of these diseases. The estimation of key environmental and genetic parameters contributes to better understand the emergence and maintenance of these diseases by their inclusion in the mathematical modeling of infections dynamics. Analyses of epidemiological and clinical data are being performed using generalized regression methods and data mining depending on the data design and on the distribution of the traits under study. The study of host genetic factors is conducted by the development and the application of multi-makers association methods over the whole genome. These methods are particularly suited to complex multifactorial traits, such as those related to infectious diseases These methods can include biological knowledge such as gene expression data, interactions between proteins (Pathways, Gene co-expression and protein-protein interactions networks based Genome-Wide Association Studies). The modeling of the dynamics of infections will be performed using compartmental models for vector-borne pathogens. The G4 consists of researchers specialized in biostatistics and bioinformatics working closely with local IPD’s research units for, e.g., the definition of study designs, the development of new methods and proposal of programs for data analysis.