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Open Access 01-12-2014 | Protocol

Cohort profile: Greifswald approach to individualized medicine (GANI_MED)

Authors: 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 Hoffmann, Birte 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

Published in: Journal of Translational Medicine | Issue 1/2014

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.

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Title: Cohort profile: Greifswald approach to individualized medicine (GANI_MED)
Authors: 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 Hoffmann
Birte 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
Publication date: 01-12-2014
Publisher: BioMed Central
Published in: Journal of Translational Medicine / Issue 1/2014
Electronic ISSN: 1479-5876
DOI: https://doi.org/10.1186/1479-5876-12-144

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