Jump to page content

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

News

Publications (Selected)

Lotta LA, Pietzner M, Stewart ID, Wittemans LBL, Li C, Bonelli R, Raffler J, Biggs EK, Oliver-Williams C, Auyeung VPW, Luan J, Wheeler E, Paige E, Surendran P, Michelotti GA, Scott RA, Burgess S, Zuber V, Sanderson E, Koulman A, Imamura F, Forouhi NG, Khaw KT; MacTel Consortium, Griffin JL, Wood AM, Kastenmüller G, Danesh J, Butterworth AS, Gribble FM, Reimann F, Bahlo M, Fauman E, Wareham NJ, Langenberg C. 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.

Pietzner M, Wheeler E, Carrasco-Zanini J, Raffler J, Kerrison ND, Oerton E, Auyeung VPW, Luan J, Finan C, Casas JP, Ostroff R, Williams SA, Kastenmüller G, Ralser M, Gamazon ER, Wareham NJ, Hingorani AD, Langenberg C. Genetic architecture of host proteins involved in SARS-CoV-2 infection. Nat Commun. 2020 Dec 16;11(1):6397. doi: 10.1038/s41467-020-19996-z.

Lotta LA, Mokrosiński J, Mendes de Oliveira E, Li C, Sharp SJ, Luan J, Brouwers B, Ayinampudi V, Bowker N, Kerrison N, Kaimakis V, Hoult D, Stewart ID, Wheeler E, Day FR, Perry JRB, Langenberg C, Wareham NJ, Farooqi IS. Human Gain-of-Function MC4R Variants Show Signaling Bias and Protect against Obesity. Cell. 2019 Apr 18;177(3):597-607.e9. doi: 10.1016/j.cell.2019.03.044.

Lotta LA, Wittemans LBL, Zuber V, Stewart ID, Sharp SJ, Luan J, Day FR, Li C, Bowker N, Cai L, De Lucia Rolfe E, Khaw KT, Perry JRB, O'Rahilly S, Scott RA, Savage DB, Burgess S, Wareham NJ, Langenberg C. Association of Genetic Variants Related to Gluteofemoral vs Abdominal Fat Distribution With Type 2 Diabetes, Coronary Disease, and Cardiovascular Risk Factors. JAMA. 2018 Dec 25;320(24):2553-2563. doi: 10.1001/jama.2018.19329.

Prof. Claudia Langenberg

Computational Medicine

Contact information
Address:BIH - Digital Health Center
Charité – Universitätsmedizin Berlin
Campus Mitte
Kapelleufer 2

E-mail:claudia.langenberg@charite.de