Statistical and quantitative genetics

描述(由申请人提供)：五位资深统计和数量遗传学家请求项目支持，使他们能够协同工作，开发和应用统计方法，以解释大规模基因组数据和表征复杂性状的遗传结构。该项目将由华盛顿大学生物统计学教授兼主席布鲁斯·韦尔领导。他的项目致力于开发表征等位基因之间关联性的方法。华盛顿大学生物统计学研究副教授莎伦·布朗宁将致力于分析罕见变异数据的方法论。乔治亚理工大学生物学教授格雷格·吉布森提议对人类外周血中96个基因表达特征的罕见变异进行实证研究，这些变异来自四个队列的2100名个体。华盛顿大学统计学教授伊丽莎白·汤普森的总体目标是开发方法，加强对影响复杂数量遗传性状的基因的检测和解析。她的方法将是通过使用密集的SNP标记数据来检测和估计一组个体之间共享的按血统(IBD)基因认同的片段。昆士兰研究所高级首席研究员Peter Visscher将开发和实施更好的方法，从SNP和序列数据中剖析性状变异并预测表型。

DESCRIPTION (provided by applicant): Five senior statistical and quantitative geneticists request Program Project support to enable them to work synergistically on the development and application of statistical methodology for the interpretation of large- scale genomic data and the characterization of the genetic architecture of complex traits. The program will be headed by Bruce Weir, Professor and Chair of Biostatistics at the University of Washington. His project is concerned with developing methodology for characterizing the associations among sets of alleles. Sharon Browning, Research Associate Professor of Biostatistics at the University of Washington, will work on methodology for the analysis of rare variant data. Greg Gibson, Professor of Biology at the Georgia Tech University, proposes an empirical investigation of rare variants with 96 gene expression traits in human peripheral blood from 2,100 individuals from four cohorts. Elizabeth Thompson, Professor of Statistics at the University of Washington, has an overall objective of the development of methods for the enhanced detection and resolution of genes contributing to complex quantitative genetic traits. Her approach will be through using dense SNP marker data for the detection and estimation of segments of gene identity by descent (ibd) shared among sets of individuals. Peter Visscher, Senior Principal Research Fellow at Queensland Institute, will develop and implement better methods to dissect trait variation and predict phenotypes from SNP and sequence data.