Whole-genome multivariate reaction norm model for complex traits

复杂性状的全基因组多元反应范数模型

• 批准号: DP190100766
• 负责人: A/Prof Sang Hong Lee
• 金额: $ 28.38万
• 依托单位: University of South Australia
• 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: 2019-06-17 至 2024-06-16
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP190100766
• 关键词: Whole; genome; multivariate; reaction; norm

This project aims to develop a multivariate whole-genome genotype-covariate correlation and interaction model that can be applied to a wide range of existing genome-wide association study (GWAS) datasets. Genotype-covariate correlation and interaction (GCCI) are fundamental in biology but there is no standard approach to disentangle interaction from correlation in the whole-genome analyses. This project will address the key feature in biology, which relates to dissecting the complex mechanism of association and interaction. The proposed statistical model implemented in a context of a novel design based on multiple GWAS data sets is a paradigm shifting-tool with applications to multiple industries.

本项目旨在建立一个多变量全基因组基因型-协变量相关和相互作用模型，该模型可以应用于广泛的现有全基因组关联研究（GWAS）数据集。基因型-协变量相关和相互作用（GCCI）是生物学的基础，但在全基因组分析中没有标准的方法来区分相互作用和相关。本项目将探讨生物学的关键特征，即解剖关联和相互作用的复杂机制。在基于多个GWAS数据集的新设计上下文中实现的统计模型是一种范式转换工具，可应用于多个行业。