Widespread technological advances have propelled human genetics into a "big data" era, in which genome-wide data from extremely large cohorts can be integrated with other "-omics" datasets from humans and model systems. Li et al. (2020) demonstrate the power of applying multiple computational analyses to publicly available data to prioritize the study of genes with novel trait associations.
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