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Grabe, H.J.* ; Assel, H.* ; Bahls, T.A.* ; Dörr, M.* ; Endlich, K.H.* ; 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.* ; Hoffmann, W.J.* ; Holtfreter, B.* ; Kacprowski, T.* ; Klein, K.* ; Kocher, T.M.* ; Kock, H.* ; Krafczyk, J.* ; Kuhn, J.* ; Langanke, M.* ; Lendeckel, U.* ; Lerch, M.M.* ; Lieb, W.* ; Lorbeer, R.* ; Mayerle, J.* ; Meissner, K.* ; Meyer zu Schwabedissen, H.E.* ; Nauck, M.A.* ; Ott, K.* ; Rathmann, W.G.* ; Rettig, R.* ; Richardt, C.* ; Saljé, K.* ; Schminke, U.* ; Schulz, A.* ; Schwab, M.* ; Siegmund, W.* ; Stracke, S.* ; Suhre, K. ; Ueffing, M. ; Ungerer, S.* ; Völker, U.* ; Völzke, H.* ; Wallaschofski, H.* ; Werner, V.* ; Zygmunt, M.T.* ; Kroemer, H.K.*

Cohort profile: Greifswald approach to individualized medicine (GANI_MED).

J. Transl. Med. 12:144 (2014)
Publ. Version/Full Text Volltext DOI
Open Access Gold
Creative Commons Lizenzvertrag
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.
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Publication type Article: Journal article
Document type Scientific Article
Corresponding Author
Keywords Epidemiology ; Individualized Medicine ; Personalized Medicine
ISSN (print) / ISBN 1479-5876
e-ISSN 1479-5876
Journal Journal of Translational Medicine
Quellenangaben Volume: 12, Issue: 1, Pages: , Article Number: 144 Supplement: ,
Publisher BioMed Central
Non-patent literature Publications
Reviewing status Peer reviewed
Institute(s) Institute of Bioinformatics and Systems Biology (IBIS)
CF Metabolomics & Proteomics (CF-MPC)