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 Gesell 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 Meyer 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 journalArticleResearchpeer-review

46 Citations (Scopus)


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
Number of pages14
JournalJournal of Translational Medicine
Publication statusPublished - 23 May 2014
Externally publishedYes


  • Epidemiology
  • Individualized Medicine
  • Personalized Medicine

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