Daiane Zuanetti

In this study, we propose a flexible dynamic non-linear indirect genetic effects model (dnIGE) which better captures the dynamics of infectious diseases transmission and consequently improves the estimation of genetic effects on infectivity. The methodology includes a covariance structure on the distribution of genetic and environmental effects of susceptibility and infectivity, which were previously considered independent, and uses Bayesian inference to estimate the genetic effects and heritabilities associated with these traits. Furthermore, we analyze the impact of different experimental designs in the accuracy of estimates using syntethic data sets. This is a joint work with Milena Nascimento Lima e Osvaldo Anacleto Jr.