Improved models to understand the genomic architecture of complex traits

改进模型以了解复杂性状的基因组结构

• 批准号: DP190103188
• 负责人: Prof David Balding
• 金额: $ 28.74万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2019
• 资助国家: 澳大利亚
• 起止时间: 2019-06-01 至 2022-11-30
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP190103188
• 关键词: Improved; models; understand; genomic; architecture

This project aims to improve modelling of the genetics underlying complex traits. The project will develop and test models for using genome-wide genetic data to investigate how much heritability (genetic effect) underlies traits of interest, where it lies in the genome, and how much of it is shared across traits. The new models will be implemented in statistical algorithms in a freely-available software package. This project expects to increase understanding of biological mechanisms, the efficiency of genetic association analyses and the accuracy of genomic prediction, including the effects of interventions. The project will adapt human models to a wider range of organisms, in particular bacteria.

该项目旨在改进复杂性状背后的遗传学建模。该项目将开发和测试使用全基因组遗传数据的模型，以研究感兴趣的性状背后有多少遗传力（遗传效应），它在基因组中的位置，以及有多少遗传性在性状之间共享。 新模型将通过免费软件包中的统计算法来实现。该项目期望增进对生物机制、遗传关联分析的效率和基因组预测的准确性（包括干预措施的影响）的理解。该项目将使人体模型适应更广泛的生物体，特别是细菌。