Harnessing Large Sequencing Datasets to Investigate the Contribution of Rare Genetic Variants to Monogenic and Polygenic Obesity Risk

利用大型测序数据集研究罕见遗传变异对单基因和多基因肥胖风险的影响

• 批准号: 376617
• 负责人: Chami Nathalie
• 金额: $ 10.93万
• 依托单位: Mount Sinai Hospital (New York)
• 依托单位国家: 加拿大
• 项目类别: Fellowship Programs
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-11-01 至 2020-11-01
• 项目状态: 已结题
• 来源: https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=376617&lang=en
• 关键词: Association Analyses; Genetic Mutations And Variants; Monogenic; Obesity; Penetrance; Polygenic; Protein-Truncating Variants; Regression Analyses; Whole Exome Sequencing; Whole Genome Sequencing

Obesity is a major health concern and a risk factor of type-2 diabetes, hypertension, and heart disease. Genetic factors influence body weight and can explain up to 70% of the inter-individual variation of body mass index (BMI). In some cases, mutations i

肥胖是一个主要的健康问题，也是2型糖尿病、高血压和心脏病的危险因素。遗传因素影响体重，可以解释高达70%的体重指数（BMI）个体间变异。在某些情况下，