Genetics, Biostatistics and Bioinformatics

基因组科学的最新进展导致了资源和工具的巨大扩展 可用于确定复杂性状的主要遗传决定因素，包括代谢和 心血管疾病然而，剖析这些特征的遗传基础不仅需要 技术进步，但获得良好特征的研究人群，信息学基础设施， 生物学和流行病学方面的适当综合统计方法和专门知识， 这些特质。我们设计了核心B（遗传学、生物统计学和生物信息学核心）， 通过以下具体目标支持PPG中的三个项目：1.）建立 已发表的单基因座和GWAS结果以及开放获取遗传数据集的交换中心， 支持候选基因的发现和验证我们三个实验中产生的特定假设 2.对开放获取的GWAS数据集进行分析，以确定要输入的候选基因 我们的项目; 3.）协调候选基因的分析，并提供基因分型和统计 根据参与项目的需要提供分析支持，包括： 基因分型的SNP;促进与基因分型核心的相互作用;提供专业知识和便利 不仅用于遗传数据的统计分析，而且用于复杂的心理数据，包括测试 指导本PPG的理论模型的组成部分;最后，协调分析和 （四）项目成果共享;（四）确定并建立与其他研究的合作 pouplations进一步复制我们的研究结果，获得DNA/数据和支持基因分型， 根据需要分析这些项目。

Recent advances in genome sciences have resulted in a vast expansion of the resources and tools available to identify the major genetic determinants of complex traits including metabolic and cardiovascular disorders. However, dissecting the genetic basis of these traits requires not only technological advances, but access to well-characterized study populations, informatics infrastructure, appropriate, integrated statistical methodologies and expertise in the biology and epidemiology of these traits. We have designed Core B (the Genetics, Biostatistics and Bioinformatics Core) to support the three projects in the PPG through the following Specific Aims: 1.) Establish a clearinghouse of published single locus and GWAS results and open access genetic datasets in support of discovery of candidate genes and validation of specific hypotheses generated in our three projects; 2.) Conduct analyses of open-access GWAS datasets to identify candidate genes to feed into our projects; 3.) Coordinate analysis of candidate genes and provide genotyping and statistical analysis support as needed across participating projects including the following: selection of specific SNPs to genotype; facilitiating interactions with the Genotyping Core; providing expertise and facilitites for statistical analysis of not only genetic data, but complex psychosocial data, including the testing of the components of the theoretical model that guides this PPG; and finally, coordinating analyses and sharing of results across projects; and 4.) Identify and establish collaborations with additional study pouplations for further replication of our findings, obtain DNA/data and support genotyping and analysis of these projects as needed.