Decoding Genetics, Ancestry, and Geospatial Context for Precision Health
Koyama, S.; Wang, Y.; Paruchuri, K.; Uddin, M. M.; Cho, S. M. J.; Urbut, S. M.; Haidermota, S.; Hornsby, W. E.; Green, R. C.; Daly, M. J.; Neale, B. M.; Ellinor, P. T.; Smoller, J. W.; Lebo, M. S.; Karlson, E. W.; Martin, A. R.; Natarajan, P.
Show abstract
Mass General Brigham, an integrated healthcare system based in the Greater Boston area of Massachusetts, annually serves 1.5 million patients. We established the Mass General Brigham Biobank (MGBB), encompassing 142,238 participants, to unravel the intricate relationships among genomic profiles, environmental context, and disease manifestations within clinical practice. In this study, we highlight the impact of ancestral diversity in the MGBB by employing population genetics, geospatial assessment, and association analyses of rare and common genetic variants. The population structures captured by the genetics mirror the sequential immigration to the Greater Boston area throughout American history, highlighting communities tied to shared genetic and environmental factors. Our investigation underscores the potency of unbiased, large-scale analyses in a healthcare-affiliated biobank, elucidating the dynamic interplay across genetics, immigration, structural geospatial factors, and health outcomes in one of the earliest American sites of European colonization.
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