个人奥米克斯分析揭示了动态的分子和医学现象型
Rui Chen1, George I Mias, Jennifer Li-Pook-Than
1Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA.
Cell
|March 20, 2012
概括
这项研究引入了一个集成的个人omics档案 (iPOP),将多种数据类型随着时间的推移结合起来. iPOP揭示了动态分子变化和医疗风险,将基因组学与整体健康状况联系起来.
科学领域:
- 多个omics的多个omics.
- 系统生物学 系统生物学
- 个性化医疗是个性化的医疗.
背景情况:
- 个性化医学将基因组数据与生理监测相结合.
- 高通量方法可以实现全面的分子分析.
- 纵向分析对于理解动态健康变化至关重要.
研究的目的:
- 为单个个体呈现一个整合性的个人电脑配置文件 (iPOP).
- 在14个月的时间内纵向分析多omics数据.
- 将基因组信息与动态分子和生理变化联系起来.
主要方法:
- 收集的基因组,转录基因组,蛋白质基因组,代谢基因组和自身抗体数据.
- 进行了多种omics配置文件的整合性分析.
- 在14个月的时间内,分析了单个个体的数据.
主要成果:
- iPOP揭示了医疗风险,包括2型糖尿病.
- 观察到广泛的,动态的分子和健康和疾病的途径变化.
- 高覆盖基因组学确定了异质变化和RNA编辑.
结论:
- 纵向iPoP提供了个体健康的全面视图.
- iPOP将静态基因组信息与动态生物活动联系起来.
- 这种方法有助于解释健康和疾病状态.
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