Joining well-characterized phenotype and genetic exposures with powerful statistical models to understand gene-environment interactions in metabolic syndrome

将充分表征的表型和遗传暴露与强大的统计模型结合起来，以了解代谢综合征中基因与环境的相互作用

• 批准号: 288037
• 负责人: Prusse Louis
• 金额: --
• 依托单位: Universit Laval
• 依托单位国家: 加拿大
• 项目类别: Operating Grants
• 财政年份: 2013
• 资助国家: 加拿大
• 起止时间: 2013-04-01 至 2014-04-01
• 项目状态: 已结题
• 来源: https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=288037&lang=en
• 关键词: Diabetes; Effect Size Estimation; Endophenotype; Family-Based Association Studies; Gene-Environment Interaction; Metabolic Syndrome; Obesity

Metabolic syndrome (MetS) is a group of metabolic conditions that occur together in a given individual and that increases the risk of developing type 2 diabetes and cardiovascular disease (CVD). These risk factors include central obesity, abnormal lipid

代谢综合征（MetS）是一组代谢状况，其在给定个体中一起发生，并且增加发展2型糖尿病和心血管疾病（CVD）的风险。 这些危险因素包括中心性肥胖、血脂异常、