Genetic identification

冠状动脉疾病（CAD）是美国的单一主要死亡原因。CAD是一种复杂的疾病，具有明确的遗传和环境风险因素。早发性冠状动脉疾病（EOCAD），定义为发病年龄小于50岁，已知具有特别强的遗传成分。然而，导致这种风险增加的实际基因以及对CAD的基本理解仍然不清楚。我们建议进行基因定位研究，使用微卫星标记在438个家庭与多个成员与CAD。我们假设受影响的个体，特别是发病年龄较早的个体，对CAD的发展具有潜在的遗传易感性。我们将使用一个全面的策略，包括精细定位，候选基因分析，和家庭为基础的关联研究，使用微卫星的CEGS的目标。首先，它提供了一个独立的方法来确定候选基因的人群为基础的关联研究，一个基于易感等位基因的基因组位置在高风险的家庭，而不是对潜在的生理学的生物假设。其次，它提供了一种新的方法来选择基因的“定制”打印阵列的表达分析，再次，一个是基于易感性等位基因的基因组位置，而不是生物偏见。

Coronary artery disease (CAD) is the single leading cause of death in the US. CAD is a complex disease with clear genetic and environmental risk factors. Early onset (premature) coronary artery disease (EOCAD), defined as age of onset less than 50 years of age, is known to have a particularly strong genetic component. However, the actual genes leading to this increased risk and to a basic understanding of CAD remain obscure. We propose to perform a gene mapping study using microsatellite markers in 438 families with multiple members with CAD. We hypothesize that affected individuals, particularly individuals with an early age of onset, have an underlying genetic susceptibility to development of CAD. We will use a comprehensive strategy comprising fine mapping, candidate gene analysis, and family-based association studies using microsatellite goals of the CEGS. First, it provides an independent approach to identify candidate genes for population-based association studies, one based on the genome location of susceptibility alleles in high-risk families, and not on biological assumptions about underlying physiology. Second, it provides a novel approach for the selection of genes for "custom" printed arrays for expression analyses, again, one that is based on the genome location of susceptibility alleles, and not on biological biases.