Improving the Odds—COVID-Omics and Predicting Patient Outcomes

Abstract

Abstract Purpose of Review The global COVID-19 pandemic has claimed millions of lives and harmed hundreds of millions more. Amidst this crisis, scientists have used multi-omics to understand and combat the virus. The purpose of this review is to provide the latest and most impactful work in COVID-omics. Recent Findings Multi-omics has identified risk-stratification criteria to predict viral severity among COVID-19 patients. Omic methods have also unlocked targetable biomarkers in viral pathways and enabled public health agencies to curb transmission by genomic tracing. Transplant researchers have used multi-omics to assess the safety of transplanting organs from COVID-positive donors, and whether patient immunosuppression regimens should be maintained. Lastly, maximizing multi-omic impact by nurturing future collaborations between mutli-omic labs and public health agencies and pharmaceutical companies will be critical in successfully facing the next pandemic. Summary This review focuses on contributions within the field of COVID-omics, including patient risk stratification and viral pathway analysis, genomic public health surveillance, and transplant clinician recommendations.