Genome Wide Association of Coronary Artery Disease and Related Risk Factors

冠状动脉疾病和相关危险因素的全基因组关联

• 批准号: 7472125
• 负责人: ULRICH BROECKEL
• 金额: $ 80.27万
• 依托单位: MEDICAL COLLEGE OF WISCONSIN
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-01 至 2013-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7472125
• 关键词: Accounting; African American; Anatomy; Angiography; Biochemical; Case-Control Studies; Caucasians; Caucasoid Race; Cause of Death; Classification; Clinic; Clinical; Collaborations; Complex; Coronary; Coronary Angiography; Coronary Arteriosclerosis; Coronary artery; Data; Data Set; Development; Diabetes Mellitus; Disease; Disease Outcome; Disease Progression; Disease susceptibility; Epidemiologic Studies; European; Family; Family history of; Foundations; Funding; Genes; Genetic; Genetic Markers; Genome; Genotype; Goals; Grant; Hand; Haplotypes; Heterogeneity; Hypertension; Individual; Linear Models; Medical History; Medicine; Methodology; Myocardial Infarction; Nature; Numbers; Patients; Phenotype; Population; Predisposition; Preventive; Public Health; Research Design; Research Project Grants; Residual state; Risk; Risk Factors; Sampling; Scanning; Signal Transduction; Single Nucleotide Polymorphism; Standards of Weights and Measures; Susceptibility Gene; Testing; Therapeutic; Western World; base; burden of illness; cardiovascular risk factor; case control; cohort; cost; density; design; disease phenotype; disorder risk; follow-up; genetic analysis; genetic linkage analysis; genome wide association study; genome-wide linkage; hypercholesterolemia; improved; interest; new technology; novel; proband; trait; translational medicine

DESCRIPTION (provided by applicant): Coronary artery disease (CAD) and myocardial infarction (MI) are the leading causes of death in the Western world. Numerous epidemiological studies have demonstrated the impact of various risk factors, such as arterial hypertension, hypercholesterolemia and diabetes mellitus. While these risk factors are partially under genetic control, a positive family history remains an additional independent predictor of CAD, suggesting the presence of additional susceptibility genes. In order to identify novel MI genes, we propose a family-based genome-wide high density association scan using the 1,000,000 Affymetrix SNP (single nucleotide polymorphism) chip genotyping platform in our large set of 1,000 families with MI and CAD. The phenotypic data in this population includes data on standard risk factors, medical history, extensive biochemical characterization, as well as a detailed description of the coronary anatomy as determined by angiography and follow-up examinations. With this extensive dataset and the complex nature of CAD and MI, a family-based analysis holds important advantages. This is related in particular to a reduced phenotypic heterogeneity in families, prior evidence of a significant genetic component as demonstrated by the identification of linkage signals, the possibility of combined linkage and association analyses, analyses incorporating shared genetic and environmental components as well as the analysis of genetic and environmental variance for multiple phenotypes. For the statistical analysis we will use standard analysis and linear models that consider the direct association of a SNP (or haplotype, or diplotype) on a trait while accounting for and quantifying residual genetic and/or environmental effects among the families. This approach should enable us to identify genetic markers, which contribute significantly to the risk of CAD, MI and associated risk factors. For replication, we have established a collaboration giving us access to a replication sample from the Marshfield Clinic Personalized Research Project which represents a population-based cohort. In addition, we will also test significant SNPs in an African American and US Caucasian cohort of patients with coronary angiographies. These populations will allow us to test the extent to which SNPs initially associated in the Caucasian families contribute to MI and CAD risk in other groups. PUBLIC HEALTH RELEVANCE: The risk of coronary artery is determined in part by genetic factors. We propose to perform a genome-wide association study to identify susceptibility genes for coronary artery disease, myocardial infarction and its related risk factors. This study will improve our understanding of the interplay of genetic and traditional risk factors.

描述（由申请人提供）：冠状动脉疾病（CAD）和心肌梗塞（MI）是西方世界的主要原因。大量流行病学研究已经证明了各种危险因素的影响，例如动脉高血压、高胆固醇血症和糖尿病。虽然这些危险因素部分受到遗传控制，但阳性家族史仍然是 CAD 的另一个独立预测因子，表明存在其他易感基因。为了识别新的 MI 基因，我们建议在 1,000 个具有 MI 和 CAD 的家族中使用 1,000,000 个 Affymetrix SNP（单核苷酸多态性）芯片基因分型平台进行基于家族的全基因组高密度关联扫描。该人群的表型数据包括标准危险因素、病史、广泛的生化特征数据，以及通过血管造影和后续检查确定的冠状动脉解剖结构的详细描述。凭借如此广泛的数据集以及 CAD 和 MI 的复杂性，基于族的分析具有重要的优势。这尤其与家族中表型异质性的减少、通过连锁信号的识别证明的重要遗传成分的先前证据、组合连锁和关联分析的可能性、结合共享遗传和环境成分的分析以及分析有关。多种表型的遗传和环境差异。对于统计分析，我们将使用标准分析和线性模型，考虑 SNP（或单倍型或双倍型）与性状的直接关联，同时考虑和量化家族之间的残余遗传和/或环境影响。这种方法应该使我们能够识别遗传标记，这些标记对 CAD、MI 和相关风险因素的风险有显着影响。为了复制，我们建立了合作关系，使我们能够获得来自马什菲尔德诊所个性化研究项目的复制样本，该项目代表了一个基于人群的队列。此外，我们还将在非裔美国人和美国白种人的冠状动脉造影患者队列中测试显着的 SNP。这些人群将使我们能够测试最初与白种人家族相关的 SNP 对其他群体的 MI 和 CAD 风险的影响程度。 公共卫生相关性：冠状动脉的风险部分由遗传因素决定。我们建议进行全基因组关联研究，以确定冠状动脉疾病、心肌梗死及其相关危险因素的易感基因。这项研究将增进我们对遗传和传统风险因素相互作用的理解。