Multiomic analyses across a broad range of diseases are increasingly being utilized to better understand disease mechanisms of action, identify biomarkers, stratify patients, and ultimately develop new therapies for disease. Access to a variety of multiomic datasets and associated clinical information is becoming more available, yet the key challenge is to progress from isolated single omic analyses towards an integrated multiomic analysis. This webinar highlights key findings from recent publications and provides insights and guidance on how to conduct integrated multiomic analysis for a range of diseases.
Prof Claudia Langenberg (Berlin Institute of Health at Charité Universitätsmedizin and MRC Epidemiology Unit, University of Cambridge) and Dr Greg Michelotti (Scientific Director, Metabolon) are authors on publications 1, 2 that used large-scale multiomic data to identify genetic variants that regulate human metabolism and disease and highlight shared pathways underlying the development of multimorbidity using electronic health record data linkage. The aim of this work is to inform strategies to better prevent and manage common, chronic conditions.
Dr. Michelotti will host a webinar presentation from Prof Langenberg with an opportunity for audience participation through a Q&A session.
1. Lotta LA, Langenberg C, et al, “A cross-platform approach identifies genetic regulators of human metabolism and health”, Nat Genet. 2021 Jan;53(1):54-64, DOI: 10.1038/s41588-020-00751-5
2. Pietzner M, Langenberg C, et al, “Plasma metabolites to profile pathways in noncommunicable disease multimorbidity”, Nat Med. 2021 Mar;27(3):471-479, DOI: 10.1038/s41591-021-01266-0