A systems approach to the classification of genes impacting the cardiovascular phenome

影响心血管现象的基因分类的系统方法

• 批准号: G1000427/1
• 负责人: Tom Gaunt
• 金额: $ 41.21万
• 依托单位: University of Bristol
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2011
• 资助国家: 英国
• 起止时间: 2011 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=G1000427%2F1
• 关键词: systems; approach; classification; genes; impacting

Recent research has been very successful in identifying genetic factors involved in common diseases like heart disease, obesity and diabetes. The majority of findings are based on the association of a gene with a single disease or characteristic, which works well for genes that are very variable between people. Our proposal is to identify some of the genes that are less variable between people, by using multiple characteristics to identify groups of genes that are involved in particular diseases. By looking for patterns in several characteristics at the same time we aim to identify disease fingerprints in known disease genes, and use those fingerprints to find new disease genes. The newly identified genes will include potential candidates for drug development and diagnostic tests.

最近的研究在确定与心脏病、肥胖和糖尿病等常见疾病有关的遗传因素方面非常成功。大多数发现都是基于基因与单一疾病或特征的关联，这对于人与人之间差异很大的基因很有效。我们的建议是通过使用多种特征来识别与特定疾病有关的基因组，从而识别出一些在人与人之间变异较小的基因。通过同时寻找几个特征的模式，我们的目标是在已知的疾病基因中识别疾病指纹，并使用这些指纹来发现新的疾病基因。新发现的基因将包括药物开发和诊断测试的潜在候选基因。