Journal Article

DZNE-2020-03772

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Cohort profile: Greifswald approach to individualized medicine (GANI_MED).

Grabe, H. J. (Corresponding author) ; Assel, H. ; Bahls, T. ; Dörr, M. ; Endlich, K. ; Endlich, N. ; Erdmann, P.DZNE* ; 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.DZNE* ; Holtfreter, B. ; Kacprowski, T. ; Klein, K. ; Kocher, T. ; Kock, H. ; Krafczyk, J. ; Kuhn, J. ; Langanke, M. ; Lendeckel, U. ; Lerch, M. M. ; Lieb, W. ; Lorbeer, R. ; Mayerle, J. ; Meissner, K. ; zu Schwabedissen, H. M. ; Nauck, M. ; Ott, K. ; Rathmann, W. ; 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.

2014
BioMed Central London

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Please use a persistent id in citations: doi:10.1186/1479-5876-12-144

Abstract: 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.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.

Keyword(s): Biomarkers: metabolism (MeSH) ; Cardiovascular Diseases: therapy (MeSH) ; Cohort Studies (MeSH) ; Humans (MeSH) ; Metabolic Diseases: therapy (MeSH) ; Precision Medicine (MeSH) ; Biomarkers

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Contributing Institute(s):

1. Interventional Health Care Research (IHCR) (AG Thyrian)
2. Translational Health Care Research (AG Hoffmann)

Research Program(s):

1. 344 - Clinical and Health Care Research (POF3-344) (POF3-344)

Appears in the scientific report 2014

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Database coverage:
; ; ; ; Clarivate Analytics Master Journal List ; Current Contents - Clinical Medicine ; DOAJ Seal ; Ebsco Academic Search ; IF < 5 ; JCR ; NCBI Molecular Biology Database ; PubMed Central ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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