Sickle cell trait (SCT) is increasingly recognized as a risk factor for adverse health outcomes. We utilized three large US electronic health record-based biobanks (Vanderbilt University Medical Center’s BioVU, Penn Medicine Biobank, and All of Us) to conduct phenome-wide association (PheWAS) and clinical laboratory-wi...
M. Hysong, Megan M. Shuey, T. Miller-Fleming et al.· American Journal of Human Ge...· 0 citations
Summary Chronic, low-grade systemic inflammation is a polygenic trait captured with the INFLA-score, a composite of C-reactive protein, platelet count, leukocyte count, and granulocyte-to-lymphocyte ratio. We derived a polygenic risk score from the INFLA-score (iPRS) in a multi-ancestry population from the UK Biobank (...
H. Jandu, Ayo Olowofela, Megan M. Shuey et al.· HGG advances· 0 citations
Network‐valued random vectors (NVRVs) provide a statistical framework for settings in which each observational unit is a network rather than a scalar, vector, image, or functional observation. Such data occur in social networks, omics and gene‐regulatory systems, functional brain connectivity, policy and intervention n...
A. Roy, P. Auer, Anjishnu Banerjee· WIREs Computational Statisti...· 0 citations
This work fine-mapped UK Biobank-derived genome-wide association study (GWAS) signals from 164 traits and identified e/sQTL colocalizations for 10,611 GWAS signals, including 7096 that colocalize with secondary e/sQTLs.
Peter Orchard, T. Blackwell, L. Kachuri et al.· Science· 0 citations
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