Asthma Candidate Genes Identified by Genome-Wide Association Analysis

全基因组关联分析确定P&F-4-哮喘候选基因 类风湿性关节炎(RA)的易感性或保护性 派：高培松，医学博士。 这项研究的一个主要目标是确定新发现的单核苷酸多态(SNPs)的程度 根据假设，哮喘基因与类风湿性关节炎相似，可能存在共同的 类风湿性关节炎和哮喘的潜在基因，可能涉及各种炎症途径。到目前为止，我们有 1,000名非洲裔美国人哮喘病例和健康对照以及1,000名非洲人的完整分析 加勒比以家庭为基础的人口。我们正在根据重要性生成候选基因列表(P 价值)，并在独立的非裔美国人群体和独立的 来自英国的哮喘患者(约3,000人)，这是我们与心肺合作伙伴合作的一部分 在伦敦的研究所。这些候选人将优先用于类风湿性关节炎患者的基因分型。一个 总共将选择384个SNPs用于生成定制的384-plex面板，并使用 BeadXpress平台。这个面板可以用相同的费用从1到480个样品使用。因此，与其如此， 最初我们建议包括200名符合美国疾病控制与预防中心 风湿学(ACR)标准用于类风湿关节炎的分类，我们正在从我们的 正在进行的类风湿关节炎研究，包括约翰霍普金斯关节炎中心的一项试验性研究和一项大型队列研究(EASH RA)试验。我们相信，我们将产生大量的数据(384x400)用于基因分析 与类风湿关节炎的关系及其与哮喘和类风湿两种常见病的关系。

P&F 4 - Asthma Candidate Genes Identified by Genome-Wide Association Analysis Confer Susceptibility to or Protection from Rheumatoid Arthritis (RA) PI: Peisong Gao, M.D. A major goal of this study to determine the extent to which single nucleotide polymorphisms (SNPs) in novel asthma genes are similarly associated with RA according to the hypothesis that there might be common underlying genes for both RA and asthma, likely involved in various inflammatory pathways. To date we have completed analyses of 1,000 African American asthma cases and healthy controls and 1,000 African Caribbean family-based populations. We are generating a list of candidate genes based on the significance (P value) and replication across both an independent African American populations and an independent population of asthmatics from the U.K. (~3,000) as part of our collaboration with partners at the Heart & Lung Institute in London. These candidates will be prioritized for genotyping individuals with rheumatoid arthritis. A total of 384 SNPs will be selected for generating a custom 384-plex panel and genotyped using the BeadXpress platform. This panel can be used from 1 to 480 samples with the same expenses. Thus, instead of the original we proposed to include 200 diagnosed RA patients who meet the American College of Rheumatology (ACR) criteria for the classification of RA, we are collecting more samples (-400) from our ongoing RA studies including a pilot study and a large cohort study at Johns Hopkins Arthritis Center (ESCAPE RA) trial. We believe that we will generate a significant amount of data (384 x 400) for analyses of genetic association with RA and relationship between two common diseases, asthma and RA.