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Integrated Multiomic Analysis for Disease
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

Please note that due to unforeseen circumstances, our webinar is now rescheduled for 27th of April. We sincerely apologize for your inconvenience. We eagerly look forward to seeing you next month.

00:50:00

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Speakers

Claudia Langenberg
Professor @Berlin Institute of Health at Charité Universitätsmedizin and MRC Epidemiology Unit, University of Cambridge
Claudia Langenberg is Professor of Computational Medicine at the Berlin Institute of Health at Charité (BIH) and MRC Investigator and Programme Leader at the MRC Epidemiology Unit at the University of Cambridge. She studied medicine in Münster, Germany, and moved to the United Kingdom to obtain her master’s and PhD in epidemiology and complete specialist clinical training in public health medicine. After spending a year at the University of California San Diego, her research focused on the genetic basis of metabolic control, and her team studies its effects on health through integration of molecular with clinical data in large-scale patient and population-based studies. Prof Langenberg has over 250 publications, many in high-impact journals, and is one of the most highly cited scientists in her field.
Greg Michelotti, Ph.D.
Sr. Director, Scientific and Translational Sciences @Metabolon
Greg Michelotti, Ph.D., is the Sr. Director, Scientific and Translational Sciences, at Metabolon, Inc., the global leader in metabolomics, offering the world’s largest metabolomics knowledge base. Dr. Michelotti is the lead scientist working with investigators in the analysis of large human population cohorts, and he works with pharma and academia, enabling the generation of highly novel biological insights revealing how metabolic perturbations influence health outcomes. These efforts will advance our understanding of human health and the transition to disease. Before joining Metabolon, Dr. Michelotti led a translational research laboratory at Duke University, studying the genetic and metabolic basis of liver disease. Collectively, his work has generated over 80 primary, peer-reviewed research publications, resulting in an h-index of 36. Both industry and NIH funding have supported his work. Dr. Michelotti holds a Ph.D. in biochemistry from the University of South Carolina.