Statistical and quantitative genetics

描述（由申请人提供）：五名高级统计和定量遗传学家请求项目支持，使他们能够协同工作，发展和应用统计方法来解释大规模基因组数据和复杂性状的遗传结构特征。该项目将由华盛顿大学生物统计学教授兼主席布鲁斯·威尔（Bruce Weir）领导。他的研究项目是开发一种方法来描述等位基因组之间的关联。Sharon Browning，华盛顿大学生物统计学研究副教授，将研究罕见变异数据分析的方法。乔治亚理工大学的生物学教授Greg Gibson提出了一项对来自四个队列的2100人的外周血中具有96个基因表达特征的罕见变异的实证研究。Elizabeth Thompson是华盛顿大学的统计学教授，她的总体目标是开发方法，以增强对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个体之间共享的血统基因身份片段（ibd）。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来解剖性状变异，并从SNP和序列数据中预测表型。

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. PUBLIC HEALTH RELEVANCE: This program project grant will support five highly successful statistical and quantitative geneticists 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. Significance: 2 Investigator(s): 1 Innovation: 2 Approach: 2 Environment: 1