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
It is shown that requiring sufficient individual-level SDoH survey data results in significant selection bias and sample reduction in AoU, and that area-level SDoH metrics contribute to disease prediction independently of individual-level measures.
M. Hysong, A. Manning, Michael D. Green et al.· Communications Health· 1 citation
Results show that integrating PRS and ProRS improves prediction beyond either score alone across traits and populations and provide a unified genomic-proteomic prediction framework.
W. Wang, J. Williams, M. Gillman et al.· medRxiv· 0 citations
This study supports methylation risk scores as novel biomarkers of stress-related CHD and uncovers epigenetic regulation in monocytes as a potential underlying mechanism of stress-related CHD, highlighting biological pathways linking stress and disease and may promote personalized interventions in high-risk populations...
Sofia Benavides, Hazel Milla, Helena Palma-Gudiel et al.· medRxiv· 0 citations
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