Novel Methods for Analysis of Genetic and Epigenetic Studies of Childhood Asthma

项目总结 儿童哮喘遗传学和表观遗传学研究的新方法 候选人：齐燕博士是初级生物统计学家和统计遗传学家。他在纽约大学获得博士学位。 阿拉巴马大学伯明翰分校(2014年)。他的主要科学兴趣在于开发和应用 用于分析高通量遗传和表观遗传数据的统计和计算方法。他是一位作家 并与人合著了15篇手稿，其中11篇是统计遗传学领域的。 环境：匹兹堡大学附属的匹兹堡儿童医院(CHP) 医学院，是一家领先的儿科临床护理、研究和教育中心。严博士 在新的仰光研究中心工作，由10层最先进的实验室、办公室和 会议设施。除了丹尼尔·E·威克斯博士的出色指导外，胡安·C·塞隆博士和魏博士 机构承诺包括专用办公空间和资源分配；共享人员 包括临床医生和生物学家、数据库管理员和实验室工作人员；并保证工资支持直到 2017年6月。 研究：意义：拟议的项目将开发新的遗传和 表观遗传学分析和发展的方法应该识别新的易感基因并帮助 研究人员更好地了解波多黎各儿童哮喘的发病机制。已开发的 该方法可广泛应用于其他具有相似数据集的复杂疾病。创新：小说 将开发统计方法，对遗传和表观遗传数据进行综合分析。目标：目标 这项建议的目的是开发和应用复杂的统计方法来识别遗传和表观遗传 对儿童哮喘的综合影响。方法：在Aim1中，我们将开发新的统计 检测PR儿童哮喘相关表型的总体遗传和表观遗传效应的方法。 在AIM2中，我们将开发新的统计方法来测试介导的遗传和表观遗传效应 PR儿童哮喘相关表型。在Aim3中，我们将开发新的统计方法 在将综合分析应用于PR儿童哮喘时考虑组织或/和家庭相关性 样本。

PROJECT SUMMARY Title: Novel Methods for Analysis of Genetic and Epigenetic Studies of Childhood Asthma Candidate: Dr. Qi Yan is a junior biostatistician and statistical geneticist. He obtained his Ph.D. degree at the University of Alabama at Birmingham (2014). His main scientific interests lie in development and application of statistical and computational methods for analysis of high-throughput genetic and epigenetic data. He is author and co-author of 15 manuscripts, 11 of which are in the field of statistical genetics. Environment: Children's Hospital of Pittsburgh (CHP) of UPMC, affiliated with the University of Pittsburgh, School of Medicine, is a leading pediatric center for clinical care, research, and education excellence. Dr. Yan works in the new Rangos Research Center, comprised of 10 floors of state-of-the-art laboratories, offices, and conference facilities. In addition to superb mentoring by Dr. Daniel E. Weeks, Dr. Juan C. Celedón and Dr. Wei Chen, institutional commitment includes dedicated office space and resource allocation; shared personnel including clinicians and biologists, database manager, and laboratory staff; and guaranteed salary support until June 2017. Research: SIGNIFICANCE: The proposed project will develop novel statistical approaches for genetic and epigenetic analysis and the developed approaches should identify novel susceptibility genes and help researchers better understand the pathogenesis of childhood asthma in Puerto Ricans (PRs). The developed methods can be widely applied to other complex diseases with similar datasets. INNOVATION: The novel statistical approaches will be developed for integrative analysis of genetic and epigenetic data. AIMS: The goal of this proposal is to develop and apply sophisticated statistical approaches to identify genetic and epigenetic effects on childhood asthma in an integrative manner. APPROACH: In Aim1, we will develop novel statistical approaches for testing overall genetic and epigenetic effects on childhood asthma related phenotypes in PRs. In Aim2, we will develop novel statistical approaches for testing mediated genetic and epigenetic effects on childhood asthma related phenotypes in PRs. In Aim3, We will develop novel statistical methods for considering tissue or/and familial correlations when applying integrative analyses to PR childhood asthma samples.