Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile
Get in touch with Laura M.
Contact Laura M., search articles and posts on X, monitor coverage, and track replies from one place.
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
1Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA 2Center for Computation and Genomic Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA, USA 3Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 4Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN, USA 5The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at...
Abstract Multi-omics technologies, such as metabolomics and proteomics, offer deep molecular perspectives that could enhance risk prediction, but large-scale studies integrating both are scarce. Here we show the predictive values of these two omics across 17 incident diseases in 23,776 UK Biobank participants with complete baseline for 159 NMR-based metabolites and 2,923 Olink affinity-based proteins.
Abstract Polygenic risk score values vary with genetic ancestry due to differences in population-specific allele frequencies and linkage disequilibrium patterns. We present a framework to calibrate polygenic risk scores based on ancestral makeup. We propose the “expected polygenic risk score” or ePRS, defined as the expected value of a polygenic risk score based on one’s global or local admixture patterns.
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
