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
Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Ellernholzstraße 1-2, Greifswald 17475, Germany.
J Transl Med. 2014 May 23;12:144. doi: 10.1186/1479-5876-12-144.
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.
个体化医疗旨在根据个体患者特定的基因和分子特征,在特定时间为其提供最佳治疗。这需要对患者进行出色的临床分层,以及具备基因组数据和生物标志物,作为开发新型诊断工具和治疗策略的先决条件。德国格赖夫斯瓦尔德大学医学中心启动了“格赖夫斯瓦尔德个体化医疗方法”(GANI_MED)项目,以应对个体化医疗的重大挑战。在此,我们描述了科学和临床基础设施的实施情况,这将使与个体化医疗相关的研究成果未来能够转化为临床实践。
方法/设计:正在按照标准化方案建立以代谢和心血管疾病为重点的临床患者队列(N>5000),用于评估病史、实验室生物标志物,并收集各种生物样本用于生物样本库。基于多组学的生物标志物评估,包括全基因组基因分型、转录组、代谢组和蛋白质组分析,补充了GANI_MED的多层次方法。与我们的波美拉尼亚健康研究(SHIP)所表征的一般背景人群进行比较。已实施一个中央数据管理结构,以获取和整合所有相关临床数据用于研究目的。同时启动了关于知情同意程序、偶然发现报告和经济评估的伦理研究项目。