Rivas Lab aims to uncover the mechanisms of disease and improve health and well-being globally. By combining methods development and
biological and biomedical datasets, we develop statistical models and computational tools for the analysis of population-scale studies.
Generating effective therapeutic hypotheses Genetics to find opportunities for modifying disease risk
Apr April 24 Tue 2018
Human Knockouts in UK Biobank
Medical relevance of protein-truncating variants across 337,205 individuals in the UK Biobank study
Apr April 14 Sat 2018
Statistical models for prioritizing targets from human genetic data
Bayesian model comparison for rare variant association studies of multiple phenotypes
Oct October 27 Fri 2017
Oct October 20 Fri 2017
Prioritizing candidate causal genes
Generating effective therapeutic hypotheses
We’re mining large-scale human genetic, clinical outcomes, imaging, wearable sensors, and environmental data to generate effective therapeutic and preventative hypotheses for human diseases. Key disease areas of focus include: Crohn's disease, ulcerative colitis, chronic kidney disease, Alzheimer's disease, type 2 diabetes, coronary heart disease, and exploring additional diseases through electronic health records.