Developing and applying statistical genetics methods to identify genes, molecular biomarkers and environmental agents that causally affect risk of complex musculoskeletal diseases

开发和应用统计遗传学方法来识别基因、分子生物标志物和环境因素，这些因素会影响复杂的肌肉骨骼疾病的风险

• 批准号: nhmrc : GNT1137714
• 负责人: Prof David Evans
• 金额: $ 70.74万
• 依托单位国家: 澳大利亚
• 项目类别: Research Fellowships
• 财政年份: 2018
• 资助国家: 澳大利亚
• 起止时间: 2018-01-01 至 无数据
• 项目状态: 已结题
• 来源: https://researchdata.edu.au/developing-applying-statistical-musculoskeletal-diseases/1348096
• 关键词: Developing; applying; statistical; genetics; methods

My aim is to identify genes, biological molecules and environmental factors that causally affect risk of osteoporosis and ankylosing spondylitis (a form of autoimmune arthritis) using novel and existing statistical genetics methodologies. My research will advance understanding of the causes of these diseases, identify new opportunities for their treatment, and provide the scientific community with new statistical methods and software to identify factors that causally influence risk of disease.

我的目的是确定基因，生物分子和环境因素，因果关系影响骨质疏松症和强直性脊柱炎（一种形式的自身免疫性关节炎）的风险，使用新的和现有的统计遗传学方法。我的研究将促进对这些疾病的原因的理解，确定其治疗的新机会，并为科学界提供新的统计方法和软件，以确定因果影响疾病风险的因素。