Roberto Trotta

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BACKGROUND AND OBJECTIVES The pro-inflammatory cytokine interleukin (IL)-1 has been suggested to play a role in atherosclerosis. Several genetic polymorphisms have been described in the genes of the IL-1 cluster and associations with coronary artery disease (CAD) have been reported, although with contrasting results. DESIGN AND METHODS The associations of(More)
We study the properties of the constrained minimal supersymmetric standard model (mSUGRA) by performing fits to updated indirect data, including the relic density of dark matter inferred from WMAP5. In order to find the extent to which μ < 0 is disfavoured compared to μ > 0, we compare the Bayesian evidence values for these models, which we obtain(More)
Bayesian model selection provides a formal method of determining the level of support for new parameters in a model. However, if there is not a specific enough underlying physical motivation for the new parameters it can be hard to assign them meaningful priors, an essential ingredient of Bayesian model selection. Here we look at methods maximizing the(More)
We re-examine the properties of the Constrained MSSM in light of updated constraints, paying particular attention to the impact of the recent substantial shift in the Standard Model prediction for BR(B → Xsγ). With the help of a Markov Chain Monte Carlo scanning technique, we vary all relevant parameters simultaneously and derive Bayesian posterior(More)
I revisit the question of the adiabaticity of initial conditions for cosmological perturbations in view of the 3–year WMAP data. I focus on the simplest alternative to pure adiabatic conditions, namely a superposition of the adiabatic mode and one of the 3 possible isocurvature modes, with the same spectral index as the adiabatic component. I discuss(More)
With the recent rapid increase in scientific understanding of the human genome it is becoming possible to identify the extent to which genetic variations influence drug response. The emergence of pharmacogenetics heralds a new era in which drug therapies will be selected on the basis of differences in individuals' genotypes, enhancing drug safety and(More)
We use a newly released version of the SuperBayeS code to analyze the impact of the choice of priors and the influence of various constraints on the statistical conclusions for the preferred values of the parameters of the Constrained MSSM. We assess the effect in a Bayesian framework and compare it with an alternative likelihood-based measure of a profile(More)