Complex trait analyses based on genome-wide approaches

基于全基因组方法的复杂性状分析

• 批准号: FT160100229
• 负责人: A/Prof Sang Hong Lee
• 金额: $ 50.36万
• 依托单位: University of South Australia
• 依托单位国家: 澳大利亚
• 项目类别: ARC Future Fellowships
• 财政年份: 2017
• 资助国家: 澳大利亚
• 起止时间: 2017-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/FT160100229
• 关键词: Complex; trait; analyses; based; genome

This project aims to develop whole genome approaches that can improve the estimation and prediction power by using information from the dynamic genetic architecture of complex traits (i.e. the changes of genetic characteristics and effects when varying effective population size and genetic backgrounds). The project intends to deliver advanced statistical models, efficient algorithms and design by combining data from close relatives, population samples or from different populations (e.g. multi-ethnicities or multi-breeds). The expected outcome is to better understand the dynamic architecture of complex traits and develop methods with improved power, precision and accuracy in genomic analyses.

该项目旨在开发全基因组方法，通过使用复杂性状的动态遗传结构（即改变有效种群规模和遗传背景时遗传特征和影响的变化）的信息来提高估计和预测能力。该项目旨在通过结合来自近亲、人口样本或不同人群（例如多种族或多品种）的数据来提供先进的统计模型、高效的算法和设计。预期的结果是更好地理解复杂性状的动态结构，并开发出在基因组分析中具有更高功效、精度和准确度的方法。