Statistical Genetics

生物统计学核心将负责实验设计和数据分析的统计学方面， 以及开发项目1和项目2所需的新统计方法。联同 生物信息学核心，生物统计学核心将设计和实施分析方法和相关 供研究者分析项目中的重测序和基因型数据使用的软件。的 具体目标是：1）设计和实施数据分析的综合方法，以支持这一天， 通过制定标准化的协议，对项目的日常数据分析需求进行统计分析， 以家庭为基础的关联研究和病例对照研究，以保持足够的统计能力， 在面临大量潜在测试时，提供对I类错误的适当控制; 2）开发 新的统计遗传学方法和软件，以满足每个项目的具体需求， 其他核心，并与生物信息学核心合作，使这些新的实现， 通过生物信息学核心提供的公共网络接口与研究社区进行交流。的 生物统计学核心将由Christoph Lange博士指导，Nan Laird博士共同指导。兰格博士和 Laird是世界著名的统计学家，在重要的新的发展方面拥有丰富的经验。 统计遗传分析方法，开发和分发数据分析软件套件，以及 基因数据集分析和疾病关联研究。他们有一个完善的轨道 彼此之间以及与为此目的而聚集的其他调查人员之间富有成效的合作记录 项目生物统计学核心的工作将有助于我们理解遗传和环境 哮喘和COPD是两种常见的重要的人类疾病， 遗传影响的模式和环境暴露的重要影响。此外，工作将 导致复杂性状的统计遗传学方法的改进。

The Biostatistics Core will be responsible for statistical aspects of experimental design and data analysis, and the development of new statistical methods required by Projects 1 and 2. In collaboration with the Bioinformatics Core, the Biostatistics Core will design and implement analysis methods and associated software for use by investigators in the analysis of resequencing and genotype data from the Projects. The specific aims are: 1) design and implement an integrated approach for data analysis to support the day to day data analysis demands of the Projects by developing standardized protocols for the statistical analysis of both family-based association studies and case-control studies to maintain adequate statistical power while providing appropriate control of Type I error in the face of a potentially large number of tests; 2) develop novel statistical genetics methods and software to meet the specific needs of each of the Projects and the other Cores and in collaboration with the Bioinformatics Core, make these new implementations available to the research community through the public web interfaces provided by the Bioinformatics Core. The Biostatistics Core will be directed by Dr Christoph Lange and co-directed by Dr Nan Laird. Drs Lange and Laird are world-renowned statisticians with extensive experience in the development of important new methodology for statistical genetic analyses, developing and distributing suites of data analysis software, and in the analysis of genetic data sets and disease association studies. They have a well-established track record of highly productive collaboration with each other and with the other investigators assembled for this project. The work of the Biostatistics core will contribute to our understanding of genetic and environmental influences in asthma and COPD, two common and important human diseases which display complex patterns of genetic influences and important effects from environmental exposures. In addition, the work will lead to improvements in statistical genetics methods for complex traits.