Using Genotyped Populations to Examine How Common Genetic Variation Impacts Health and Disease
The Mosley Lab develops and applies innovative approaches that use genetic background to inform clinical and public health decision-making, to identify risk factors and biomarkers of disease, and to reduce heath inequities in vulnerable populations. One focus area is predicting risk for underlying disease and identifying individuals or populations who are susceptible to misinterpretation of their laboratory measurements. Another focus area is utilizing multi-omics data (such as metabolomics and proteomics) to identify and characterize genetically driven disease mechanisms. Much of this work employs combinations of discovery-oriented and hypothesis-driven approaches applied to epidemiological and clinical data resources including electronic health records (EHR)-linked to DNA biobanks.
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