Statistical Genetics

生物统计核心将负责实验设计和数据分析的统计方面， 以及开发项目1和2所需的新统计方法。 生物信息学核心，生物统计核心将设计和实施分析方法和相关的 供研究人员使用的软件，用于分析项目的重新测序和基因数据。这个 具体目标是：1)设计和实施数据分析的综合方法，以支持每天 通过制定统计分析的标准化协议，满足项目的日常数据分析需求 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，同时 在潜在的大量测试中提供对I类错误的适当控制；2)开发 新的统计遗传学方法和软件，以满足每个项目和 其他核心并与生物信息学核心合作，使这些新实现可用于 研究界通过生物信息学核心提供的公共网络接口。这个 《生物统计核心》将由克里斯托夫·兰格博士执导，南·莱尔德博士联合执导。兰格博士和 莱尔德是世界知名的统计学家，在开发重要的新数据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 在遗传数据集的分析和疾病关联研究中。他们有一条很好的赛道 记录了彼此之间以及与为此聚集的其他调查人员之间的高度富有成效的合作 项目。生物统计核心的工作将有助于我们对遗传和环境的理解 对哮喘和慢性阻塞性肺疾病的影响，这两种常见而重要的人类疾病表现复杂 遗传影响的模式和环境暴露的重要影响。此外，这项工作将 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.