Cohort profile: Greifswald approach to individualized medicine (GANI_MED)

Hans J. Grabe, Heinrich Assel, Thomas Bahls, Marcus Dörr, Karlhans Endlich, Nicole Endlich, Pia Erdmann, Ralf Ewert, Stephan B. Felix, Beate Fiene, Tobias Fischer, Steffen Flessa, Nele Friedrich, Mariacarla Gadebusch-Bondio, Manuela G. Salazar, Elke Hammer, Robin Haring, Christoph Havemann, Michael Hecker, Wolfgang HoffmannBirte Holtfreter, Tim Kacprowski, Kathleen Klein, Thomas Kocher, Holger Kock, Janina Krafczyk, Jana Kuhn, Martin Langanke, Uwe Lendeckel, Markus M. Lerch, Wolfgang Lieb, Roberto Lorbeer, Julia Mayerle, Konrad Meissner, Henriette M. zu Schwabedissen, Matthias Nauck, Konrad Ott, Wolfgang Rathmann, Rainer Rettig, Claudia Richardt, Karen Saljé, Ulf Schminke, Andrea Schulz, Matthias Schwab, Werner Siegmund, Sylvia Stracke, Karsten Suhre, Marius Ueffing, Saskia Ungerer, Uwe Völker, Henry Völzke, Henri Wallaschofski, Vivian Werner, Marek T. Zygmunt, Heyo K. Kroemer

Research output: Contribution to journalArticle

30 Citations (Scopus)

Abstract

Background: Individualized Medicine aims at providing optimal treatment for an individual patient at a given time based on his specific genetic and molecular characteristics. This requires excellent clinical stratification of patients as well as the availability of genomic data and biomarkers as prerequisites for the development of novel diagnostic tools and therapeutic strategies. The University Medicine Greifswald, Germany, has launched the " Greifswald Approach to Individualized Medicine" (GANI_MED) project to address major challenges of Individualized Medicine. Herein, we describe the implementation of the scientific and clinical infrastructure that allows future translation of findings relevant to Individualized Medicine into clinical practice.Methods/design: Clinical patient cohorts (N > 5,000) with an emphasis on metabolic and cardiovascular diseases are being established following a standardized protocol for the assessment of medical history, laboratory biomarkers, and the collection of various biosamples for bio-banking purposes. A multi-omics based biomarker assessment including genome-wide genotyping, transcriptome, metabolome, and proteome analyses complements the multi-level approach of GANI_MED. Comparisons with the general background population as characterized by our Study of Health in Pomerania (SHIP) are performed. A central data management structure has been implemented to capture and integrate all relevant clinical data for research purposes. Ethical research projects on informed consent procedures, reporting of incidental findings, and economic evaluations were launched in parallel.

Original languageEnglish
Article number144
JournalJournal of Translational Medicine
Volume12
Issue number1
DOIs
Publication statusPublished - 23 May 2014
Externally publishedYes

    Fingerprint

Keywords

  • Epidemiology
  • Individualized Medicine
  • Personalized Medicine

ASJC Scopus subject areas

  • Medicine(all)
  • Biochemistry, Genetics and Molecular Biology(all)

Cite this

Grabe, H. J., Assel, H., Bahls, T., Dörr, M., Endlich, K., Endlich, N., Erdmann, P., Ewert, R., Felix, S. B., Fiene, B., Fischer, T., Flessa, S., Friedrich, N., Gadebusch-Bondio, M., Salazar, M. G., Hammer, E., Haring, R., Havemann, C., Hecker, M., ... Kroemer, H. K. (2014). Cohort profile: Greifswald approach to individualized medicine (GANI_MED). Journal of Translational Medicine, 12(1), [144]. https://doi.org/10.1186/1479-5876-12-144