MRC Epidemiology Unit, University of Cambridge, UK
Dr Claudia Langenberg is a Group Leader at the MRC Epidemiology Unit, University of Cambridge, UK, a Consultant in Public Health at Public Health England, and Clinician in Residence at the Francis Crick Institute, London. She is known for her research on genetic causes of insulin resistance, type 2 diabetes and related metabolic disorders. Dr Langenberg received a medical degree and a PhD in Medicine from the University of Münster, Germany, a Masters in Epidemiology from the London School of Hygiene and Tropical Medicine, and a PhD in Epidemiology from University College London. In 2016, she completed clinical specialty training in Public Health and the following year was appointed Group Leader at the MRC Epidemiology Unit, University of Cambridge. Her work focuses on the integration of multi-omic data to identify and better understand the causes of type 2 diabetes and other metabolic disorders. Dr Langenberg has published ~250 clinically oriented research papers in high-impact journals including Nature Genetics, JAMA, PLoS Medicine and the Lancet. She was the Editor-in-Chief of the ‘Generation Genome’ report of the Chief Medical Officer of England that influenced genomic medicine in the NHS and in 2018 received a Helmholtz International Fellow Award. Claudia lives in London with her husband and 5-year old twin girls.
Abstract: Recent technological advances now enable in-depth assessment of blood based ‘omic’ markers at scale. However, existing studies are limited by their design, size, analytical strategy and single disease focus. In prospective cohort analyses we demonstrate extensive sharedness of metabolite associations across a range of different incident diseases and identify common antecedents underlying these associations. We combine large-scale genomic with metabolomic and proteomic data to define the genetic architecture of thousands of ‘omic’ traits, integrate data from different platforms and studies to maximise power for the identification of genetic variants associated with life-long differences in metabolite and protein levels and enable investigation of their relevance for disease aetiology and prediction.
Read more about Claudia´s research HERE
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