Computational Medicine
Claudia Langenberg
Common metabolic disorders such as obesity, insulin resistance and type 2 diabetes have both environmental and genetic causes. We now know that many sections of the genome influence the risk of weight gain or adverse fat distribution, in addition to the important roles played by lack of physical activity and excessive intake of high-calorie foods. However, it is unclear how the identified genes exert their influence or which mechanisms provide the best targets for intervention. Hundreds and thousands of molecules (such as the human metabolome or proteome) can now be detected and measured in concentration on a large scale in blood and other tissues. Our team is integrating genetic, biological, and "omics" data from large-scale population and clinical studies to characterize the genetic architecture of human metabolism and its influence on health and disease.
Data-Science for Metabolic and Population Health
Common metabolic conditions such as obesity, insulin resistance and type 2 diabetes have both environmental and genetic causes. For example, we now understand that many genetic regions increase the risk of putting on weight or distributing fat unfavorably, in addition to the important roles played by a lack of physical activity and excessive intake of high-calorie foods. Little is known about how identified genes influence disease or which mechanisms are the best targets for intervention. Hundreds and thousands of molecules (such as the human metabolome or proteome) can now be detected and measured on a massive scale in blood and other tissues. Our team integrates genomic and other biological and ‘omic’ data in large-scale population and clinical studies to characterize the genetic architecture of human metabolism and its influence on health and disease.
For recent results and studies please visit www.omicscience.org
Team
Dr. Cordelia Arndt-Sullivan
Scientific Project Management
Former Employees
Vanessa Gimmel
Bachelor student
Address:
BIH - Digital Health Center
Charité – Universitätsmedizin Berlin
Rahel Hirsch Center for Translational Medicine
Luisenstr. 65
10117 Berlin
Publications (Selected)
Publications (Selected)
Synergistic insights into human health from aptamer- and antibody-based proteomic profiling. Nat Commun 2021;12(1):6822. Pietzner M, Wheeler E, Carrasco-Zanini J, Kerrison ND, Oerton E, . . . Langenberg C. Link
Mapping the proteo-genomic convergence of human diseases. Science 2021;374(6569):eabj1541. Pietzner M, Wheeler E, Carrasco-Zanini J, Cortes A, Koprulu M, . . . Langenberg C. Link
Plasma metabolites to profile pathways in noncommunicable disease multimorbidity. Nat Med 2021;27(3):471-479. Pietzner M, Stewart ID, Raffler J, Khaw KT, Michelotti GA, . . . Langenberg C. Link
A cross-platform approach identifies genetic regulators of human metabolism and health. Nat Genet 2021;53(1):54-64. Lotta LA, Pietzner M, Stewart ID, Wittemans LBL, Li C, . . . Langenberg C. Link
Genetically Predicted Glucose-Dependent Insulinotropic Polypeptide (GIP) Levels and Cardiovascular Disease Risk Are Driven by Distinct Causal Variants in the GIPR Region. Diabetes 2021;70(11):2706-2719. Bowker N, Hansford R, Burgess S, Foley CN, Auyeung VPW, . . . Langenberg C. Link
Genetic architecture of host proteins involved in SARS-CoV-2 infection. Nat Commun 2020;11(1):6397. Pietzner M, Wheeler E, Carrasco-Zanini J, Raffler J, Kerrison ND, . . . Langenberg C. Link
Association of Genetic Variants Related to Gluteofemoral vs Abdominal Fat Distribution With Type 2 Diabetes, Coronary Disease, and Cardiovascular Risk Factors. JAMA 2018;320(24):2553-2563. Lotta LA, Wittemans LBL, Zuber V, Stewart ID, Sharp SJ, . . . Langenberg C. Link