Estimating genotype-environment interaction using genomic information

使用基因组信息估计基因型与环境的相互作用

• 批准号: DP160102126
• 负责人: A/Prof Sang Hong Lee
• 金额: $ 23.24万
• 依托单位: The University of New England
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2016
• 资助国家: 澳大利亚
• 起止时间: 2016-01-01 至 2019-04-30
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP160102126
• 关键词: Estimating; genotype; environment; interaction; using

This project aims to develop statistical methods that can explore genotype–environment interaction at the genomic level using genome-wide single nucleotide polymorphisms or sequence data. It plans to estimate how the effects of genetic variants change with changing environmental conditions and how overall genetic variance changes due to changing effects in specific gene regions. It plans to deliver statistical models and methods and an efficient algorithm implemented in software, which would broadly benefit the field of complex trait genetics. Methods to estimate genotype–environment interaction effects at the genomic level would help elucidate complex biological systems, including human genetic response to changing environmental factors and the potential adaptation of animals to changing environmental conditions.

该项目旨在开发统计方法，利用全基因组单核苷酸多态性或序列数据在基因组水平上探索基因型-环境相互作用。它计划估计遗传变异的影响如何随着环境条件的变化而变化，以及由于特定基因区域的影响变化，整体遗传方差如何变化。它计划提供统计模型和方法，以及在软件中实现的有效算法，这将广泛有益于复杂性状遗传学领域。在基因组水平上估计基因型-环境相互作用效应的方法将有助于阐明复杂的生物系统，包括人类对不断变化的环境因素的遗传反应和动物对不断变化的环境条件的潜在适应。