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Genetic Risk contribution to Alcoholic chronic Pancreatitis (GRAP study)

遗传风险对酒精性慢性胰腺炎的影响（GRAP 研究）

基本信息

批准号：
181008647
负责人：
Professor Dr. Jonas Rosendahl
金额：
--
依托单位：
Universitätsklinik und Poliklinik für Innere Medizin I
依托单位国家：
德国
项目类别：
Research Grants
财政年份：
2010
资助国家：
德国
起止时间：
2009-12-31 至 2015-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/181008647?language=en
关键词：
Genetic Risk contribution Alcoholic chronic

项目摘要

Chronic pancreatitis (CP) is a progressive inflammatory disease of the pancreas leading to irreversible damage of the organ. Incidence rates are 3.5-10 per 100.000 inhabitants and due to this considerable incidence rate CP is responsible for a rather huge debit for health care and social systems. In the Western world alcohol abuse is the predominant contributor. However, only 5 % of alcoholics develop CP. This fact and familial clustering suggest the presence of genetic susceptibility factors. To evaluate the genetic contributors to alcoholic CP we plan to conduct a genome-wide association study (GWAS) in 2.585 patients with alcoholic CP. The advent of high throughput genome-wide scanning technologies allows a systematic analysis of DNA sequence variations as demonstrated sufficiently by former studies. We established a Pan-European working party on alcoholic CP assembling researchers from all over Europe that collected 2.585 DNA-samples of well phenotyped patients with alcoholic CP. We plan to perform a case-control genome-wide association analysis. Controls arise from established studies and are already genotyped. Genotyping and bioinformatical and biostatistical analysis will be conducted using the infrastructure of the LIFE-center in Leipzig.

慢性胰腺炎(CP)是胰腺的一种进行性炎症性疾病，导致器官不可逆转的损害。每100.000名居民的发病率为3.5%-10%，由于这一可观的发病率，CP对卫生保健和社会系统造成了相当大的借记。在西方世界，酗酒是主要原因。然而，只有5%的酗酒者会患上CP。这一事实和家族聚集性表明存在遗传易感因素。为了评估酒精性CP的遗传因素，我们计划在2.585名酒精性CP患者中进行全基因组关联研究。高通量全基因组扫描技术的出现使得对DNA序列变异的系统分析成为可能，以前的研究充分证明了这一点。我们成立了一个泛欧洲酒精性CP工作组，汇集了来自欧洲各地的研究人员，收集了2.585例表型良好的酒精性CP患者的DNA样本。我们计划进行一项病例对照全基因组关联分析。对照研究源于既定的研究，并且已经进行了基因分型。基因分型、生物信息和生物统计分析将利用莱比锡生命中心的基础设施进行。