Richer Models of Asthma Risk: Bridging the Environment-Genetics Divide

描述（由申请人提供）：更丰富的哮喘风险模型：弥合环境-遗传鸿沟。这是加州大学旧金山分校医学系肺生物学中心助理教授Noah Zaitlen博士申请指导定量研究发展奖（K25）的申请。Zaitlen博士是生物信息学和计算遗传学领域的一名成功的年轻研究者。他最近接受了加州大学旧金山分校的教职，目的是建立一个独立的实验室，专门研究肺部疾病的遗传和环境基础，重点研究拉丁裔和非洲裔美国人。拟议的K25奖将为Zaitlen博士提供支持和保护时间，以实现以下目标：(1)通过课程作业和指导指导，在肺部医学方面积累足够的背景知识，以构建基于遗传和环境变量的哮喘风险模型；(2)发展免疫学和环境卫生方面的专业知识，特别是与肺表型有关的专业知识；(3)研究哮喘的遗传、环境和种族差异之间的关系；(4)培养形成大规模跨学科合作的技能；

DESCRIPTION (provided by applicant): Richer Models of Asthma Risk: Bridging the Environment-Genetics Divide. This is an application for a Mentored Quantitative Research Development Award (K25) for Dr. Noah Zaitlen, an Assistant Professor in the UC San Francisco Department of Medicine, Lung Biology Center. Dr. Zaitlen has established himself as a successful young investigator in the fields of bioinformatics and computational genetics. He has recently accepted at faculty position at UCSF with the aim of establishing an independent laboratory dedicated to the study of the genetic and environmental basis of pulmonary disease with a focus on Latino and African American populations. The proposed K25 award would provide Dr. Zaitlen with support and protected time to accomplish the following goals: (1) develop via course-work and guided mentorship a sufficient background in pulmonary medicine to construct asthma risk models over genetic and environmental variables; (2) develop an expertise in immunology and environmental health, especially as they relate to pulmonary phenotypes; (3) conduct research into the relationship between genetic, environmental, and ethnic variation in asthma; (4) foster skills to form large-scale interdisciplinary collaborations; with an ultimate goal of (5) developing an independent research career. Dr. Zaitlen has assembled a mentoring team comprised of a primary mentor, Dr. Esteban Gonzalez Burchard, Director of the Asthma Genetics Laboratory at UCSF, co-mentors Dr. John Balmes who studies environmental health, and Dr. Prescott Woodruff who studies asthma subphenotypes, and advisors Drs. Neal Risch, Saunak Sen, and John Witte who all successfully transitioned from quantitative backgrounds into biomedical research. Asthma is a common and complex disease with significant morbidity, often striking early in life. Family and twin studies clearly point to genetic susceptibility, but the epidemiology also strongly indicates important environmental risk factors. There are substantial ethnic differences that are not yet explained - and not entirely consistent with a simple genetic or environmental explanation (i.e. the two Latino groups, Mexicans and Puerto Ricans have the most disparate rates). To better understand the pathogenesis of asthma therefore requires a multi-pronged approach, bringing together basic understanding of immunology, lung biology and environmental health as well as genetic susceptibility. While Dr. Zaitlen is well versed in statistical genetics, he is much less so in the other important disciplines named above. Dr. Burchard's mentorship and access to his studies of asthma in Latino populations offer a unique opportunity for Dr. Zaitlen to develop his research plans. The detailed clinical, genetic and environmental information on these subjects will not only provide a rich resource for simultaneously modeling genetic and environmental risk factors, but will require Dr. Zaitlen, with the help of Dr. Balmes, to learn the fundamentals of environmental epidemiology. Furthermore, the specimens from these subjects along with those from Dr. Woodruff's cohorts will be used for relevant immunological and genomic assays that more directly address the pathways to disease. This experimental component, conducted under the mentorship of Dr. Woodruff, provide Dr. Zaitlen with training in immunology as well as significantly broadening the scope of his future research projects. Future assays may include immunologic function, host response to environmental exposures as manifest through epigenetic and expression level studies, and other direct assays of cellular response to antigenic agents. To date, on the genetic side, genome-wide association studies of asthma have only been partially enlightening. They have indicated some important candidate genes, but at the same time reflect the general observation that the mechanism of how variants contribute to disease risk is unknown. Because pathogenesis depends on an interaction between genetic susceptibility and environmental exposure, complex systems biologic models ultimately are required to fully understand these relationships. Such models are greatly enhanced by the inclusion of measured 'intermediate' phenotypes that are more directly causally related to the underlying genes and environmental agents than frank disease. These approaches will capitalize on Dr. Zaitlen's strong computational background, but also need to be well informed by a basic understanding of immunology, lung biology and host responses to environmental exposures. With the protected time afforded by this award, the models Dr. Zaitlen ends up creating will not be better simply because of his statistical acumen. He will have the required understanding of the underlying biology as well the technical training in designing assays to direct a comprehensive asthma research program spanning experimental and computational work.