A new statistical framework to understand the biological basis of Ankylosing Spondylitis and other complex diseases

一个新的统计框架来了解强直性脊柱炎和其他复杂疾病的生物学基础

• 批准号: FT130101709
• 负责人: Prof David Evans
• 金额: $ 55.62万
• 依托单位: The University of Queensland
• 依托单位国家: 澳大利亚
• 项目类别: ARC Future Fellowships
• 财政年份: 2013
• 资助国家: 澳大利亚
• 起止时间: 2013-12-02 至 2017-12-02
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/FT130101709
• 关键词: new; statistical; framework; understand; biological

Ankylosing Spondylitis (AS) is a highly heritable and common inflammatory arthritis which causes stiffness and progressive fusion of the spine, decreased quality of life and reduced lifespan. There is no known cure for the condition. This project aims to identify genes and biological pathways involved in AS pathogenesis using a new statistical framework that will be applied to thousands of individuals with the disease. This project will improve understanding of the underlying mechanisms involved in AS pathophysiology, inform development of new drug treatments for the condition, and create a powerful new statistical approach that can be used to identify biological pathways which are important in the pathogenesis of other complex diseases.

强直性脊柱炎（Ankylosing Spondylitis，AS）是一种高度遗传性的常见炎症性关节炎，可导致脊柱僵硬、进行性融合、生活质量下降和寿命缩短。目前还没有治愈这种疾病的方法。该项目旨在使用一种新的统计框架来确定AS发病机制中涉及的基因和生物学途径，该框架将应用于数千名患有该疾病的个体。该项目将提高对AS病理生理学所涉及的潜在机制的理解，为该疾病的新药治疗提供信息，并创建一种强大的新统计方法，可用于识别在其他复杂疾病发病机制中重要的生物学途径。