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Cohort profile: Greifswald approach to individualized medicine (GANI_MED)

Authors :
Uwe Lendeckel
Marcus Dörr
Vivian Werner
Kathleen Klein
Werner Siegmund
Beate Fiene
Rainer Rettig
Roberto Lorbeer
Nele Friedrich
Wolfgang Lieb
Matthias Schwab
Markus M. Lerch
Nicole Endlich
Jana Kuhn
Holger Kock
Wolfgang Rathmann
Pia Erdmann
Sylvia Stracke
Karlhans Endlich
Michael Hecker
Marek Zygmunt
Stephan B. Felix
Manuela Gesell Salazar
Julia Mayerle
Wolfgang Hoffmann
Hans J. Grabe
Konrad Meissner
Andrea Schulz
Konrad Ott
Henriette E. Meyer zu Schwabedissen
Henri Wallaschofski
Tim Kacprowski
Janina Krafczyk
Martin Langanke
Claudia Richardt
Christoph Havemann
Henry Völzke
Heinrich Assel
Matthias Nauck
Thomas Bahls
Tobias Fischer
Elke Hammer
Robin Haring
Uwe Völker
Heyo K. Kroemer
Karsten Suhre
Thomas Kocher
Ulf Schminke
Mariacarla Gadebusch-Bondio
Saskia Ungerer
Ralf Ewert
Marius Ueffing
Steffen Flessa
Karen Saljé
Birte Holtfreter
Source :
Journal of translational medicine 12(1), 144 (2014). doi:10.1186/1479-5876-12-144, J. Transl. Med. 12:144 (2014), Journal of Translational Medicine
Publication Year :
2014
Publisher :
BioMed Central, 2014.

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. peerReviewed

Details

Language :
English
Database :
OpenAIRE
Journal :
Journal of translational medicine 12(1), 144 (2014). doi:10.1186/1479-5876-12-144, J. Transl. Med. 12:144 (2014), Journal of Translational Medicine
Accession number :
edsair.doi.dedup.....eb136e5641824411aaecfd5402692e9c
Full Text :
https://doi.org/10.1186/1479-5876-12-144