Mapping whole-organism genetic comorbidities across model Species using unified ontologies

Caitlin’s paper is now available in Genetics. Congratulations! Abstract Understanding how genetic variation contributes to organism-wide phenotypes is critical for identifying mechanisms of disease. Here, we present a computational approach to analyze whole-organism comorbidities associated with genes underlying non-obstructive azoospermia (NOA), the most severe form of male infertility. We curated 204 mouse genes with experimentally […]