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Decoding Genetics, Ancestry, and Geospatial Context for Precision Health.

Authors :
Koyama S
Wang Y
Paruchuri K
Uddin MM
Cho SMJ
Urbut SM
Haidermota S
Hornsby WE
Green RC
Daly MJ
Neale BM
Ellinor PT
Smoller JW
Lebo MS
Karlson EW
Martin AR
Natarajan P
Source :
MedRxiv : the preprint server for health sciences [medRxiv] 2023 Oct 25. Date of Electronic Publication: 2023 Oct 25.
Publication Year :
2023

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.

Details

Language :
English
Database :
MEDLINE
Journal :
MedRxiv : the preprint server for health sciences
Accession number :
37961173
Full Text :
https://doi.org/10.1101/2023.10.24.23297096