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Abstract Long COVID affects a substantial proportion of the over 778 million individuals infected with SARS-CoV-2, yet predictive models remain limited in scope. While existing efforts, such as the National COVID Cohort Collaborative (N3C), have leveraged electronic health record (EHR) data for risk prediction and identification, accumulating evidence points to additional contributions from social, behavioral, and genetic factors.
PerspectiveOnline nowOpen access Affiliations & Notes 1Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA 2Harvard Medical School, Boston, MA, USA 3Center for Biomedical Ethics and Society, Vanderbilt University Medical Center, Nashville, TN, USA 4Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA 5Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA 6Institute for Genomic Health, Icahn School of Medicine at...
Abstract Uterine leiomyomata or fibroids are highly heritable, common, and benign tumors of the uterus with poorly understood etiology. Previous GWAS have reported 72 associated genes but included limited numbers of non-European individuals. Here, we identify 11 novel genes associated with fibroids across multi-ancestry and ancestry-stratified GWAS analyses.
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.