Statistical and quantitative genetics

统计和数量遗传学

• 批准号: 8479385
• 负责人: Bruce S. Weir
• 金额: $ 131.83万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-06-05 至 2017-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8479385
• 关键词: Alleles; Architecture; Biology; Biometry; Complex; Data; Detection; Development; Environment; Gene Expression; Genes; Genetic; Genomics; Head; Human; Individual; Institutes; Investigation; Methodology; Methods; Phenotype; Postdoctoral Fellow; Program Research Project Grants; Quantitative Genetics; Queensland; Research; Research Personnel; Resolution; Universities; Variant; Washington; Work; cohort; innovation; method development; peripheral blood; professor; programs; statistics; trait

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.

描述（由申请人提供）：五个高级统计和定量遗传学家请求计划项目支持，以使他们能够协同工作，以开发和应用统计方法来解释大规模基因组数据以及复杂性状遗传结构的表征。该计划将由华盛顿大学生物统计学教授兼主席Bruce Weir领导。他的项目关注的是开发方法来表征等位基因组之间的关联。华盛顿大学生物统计学研究副教授沙龙·布朗宁（Sharon Browning）将致力于分析稀有变体数据的方法论。佐治亚理工大学生物学教授格雷格·吉布森（Greg Gibson）提出了对来自来自四个同类群体的2100名个人的人类外周血中96个基因表达特征的稀有变体的经验研究。华盛顿大学统计学教授伊丽莎白·汤普森（Elizabeth Thompson）的总体目标是开发方法，以增强促进复杂定量遗传特征的基因检测和解决。她的方法是通过使用密集的SNP标记数据来检测和估计通过下降（IBD）共享基因身份段（IBD）。昆士兰州研究所高级首席研究员彼得·维斯彻（Peter Visscher）将开发和实施更好的方法来剖析特征变化并从SNP和序列数据中预测表型。