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Cohort profile: Greifswald Approach to Individualized Medicine (GANI_MED)
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
ID 2572686
Author(s) Grabe, Hans J; Assel, Heinrich; Bahls, Thomas; Dörr, Marcus; Endlich, Karlhans; Endlich, Nicole; Erdmann, Pia; Ewert, Ralf; Felix, Stephan B; Fiene, Beate; Fischer, Tobias; Flessa, Steffen; Friedrich, Nele; Gadebusch-Bondio, Mariacarla; Salazar, Manuela Gesell; Hammer, Elke; Haring, Robin; Havemann, Christoph; Hecker, Michael; Hoffmann, Wolfgang; Holtfreter, Birte; Kacprowski, Tim; Klein, Kathleen; Kocher, Thomas; Kock, Holger; Krafczyk, Janina; Kuhn, Jana; Langanke, Martin; Lendeckel, Uwe; Lerch, Markus M; Lieb, Wolfgang; Lorbeer, Roberto; Mayerle, Julia; Meissner, Konrad; zu Schwabedissen, Henriette Meyer; Nauck, Matthias; Ott, Konrad; Rathmann, Wolfgang; Rettig, Rainer; Richardt, Claudia; Saljé, Karen; Schminke, Ulf; Schulz, Andrea; Schwab, Matthias; Siegmund, Werner; Stracke, Sylvia; Suhre, Karsten; Ueffing, Marius; Ungerer, Saskia; Völker, Uwe; Völzke, Henry; Wallaschofski, Henri; Werner, Vivian; Zygmunt, Marek T; Kroemer, Heyo K
Author(s) at UniBasel Meyer zu Schwabedissen, Henriette
Year 2014
Title Cohort profile: Greifswald Approach to Individualized Medicine (GANI_MED)
Journal Journal of translational medicine
Volume 12
Number 1
Pages / Article-Number 144
Keywords Personalized Medicine, Individualized Medicine, Epidemiology


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.

Publisher BioMed Central
ISSN/ISBN 1479-5876
Full Text on edoc No
Digital Object Identifier DOI 10.1186/1479-5876-12-144
PubMed ID
ISI-Number WOS:000338469800002
Document type (ISI) Journal Article

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