Asthma Candidate Genes Identified by Genome-Wide Association Analysis

P&F 4 -全基因组关联分析鉴定的哮喘候选基因 对风湿性关节炎（RA）的易感性或预防 PI：Peisong Gao，医学博士 本研究的一个主要目的是确定单核苷酸多态性（SNP）在新的 哮喘基因与类风湿性关节炎也有类似的关联，根据这一假设， RA和哮喘的潜在基因，可能涉及各种炎症途径。迄今为止， 完成了对1,000例非裔美国人哮喘病例和健康对照以及1,000例非裔美国人哮喘病例和健康对照的分析。 加勒比地区以家庭为基础的人口。我们根据显著性（P 价值）和复制在一个独立的非洲裔美国人群体和一个独立的 英国的哮喘患者（约3，000）作为我们与Heart & Lung合作伙伴合作的一部分 在伦敦的研究所。这些候选人将被优先用于类风湿性关节炎个体的基因分型。一 将选择总共384个SNP用于生成定制的384重组，并使用 BeadXpress平台。该面板可用于1至480个样品，费用相同。因此，代替 最初，我们建议纳入200名符合美国医学会标准的确诊RA患者， 根据风湿性关节炎（ACR）的分类标准，我们正在收集更多的样本（约400）， 正在进行的RA研究，包括在约翰霍普金斯关节炎中心（ESCAPE）进行的一项初步研究和一项大型队列研究 RA）试验。我们相信我们将生成大量数据（384 x 400）用于遗传分析 哮喘与类风湿关节炎的关系以及两种常见疾病--哮喘与类风湿关节炎的关系。

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.