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有附件Personal omics profiling reveals dynamic molecular and medical phenotypes

聚焦生物 添加于 2012-12-26 20:49 | 1622 次阅读 | 0 个评论

  •  作 者

    Chen R, Mias GI, Li-Pook-Than J, Jiang L, Lam HYK, Chen R, Miriami E, Karczewski KJ, Hariharan M, Dewey FE, Cheng Y, Clark MJ, Im H, Habegger L, Balasubramanian S, O\'Huallachain M, Dudley JT, Hillenmeyer S, Haraksingh R, Sharon D, Euskirchen G, Lacroute P, Bettinger K, Boyle AP, Kasowski M, Grubert F, Seki S, Garcia M, Whirl-Carrillo M, Gallardo M, Blasco MA, Greenberg PL, Snyder P, Klein TE, Altman RB, Butte AJ, Ashley EA, Gerstein M, Nadeau KC, Tang H, Snyder M

  •  摘 要

    Personalized medicine is expected to benefit from combining genomic information with regular monitoring of physiological states by multiple high-throughput methods. Here, we present an integrative personal omics profile (iPOP), an analysis that combines genomic, transcriptomic, proteomic, metabolomic, and autoantibody profiles from a single individual over a 14 month period. Our iPOP analysis revealed various medical risks, including type 2 diabetes. It also uncovered extensive, dynamic changes in diverse molecular components and biological pathways across healthy and diseased conditions. Extremely high-coverage genomic and transcriptomic data, which provide the basis of our iPOP, revealed extensive heteroallelic changes during healthy and diseased states and an unexpected RNA editing mechanism. This study demonstrates that longitudinal iPOP can be used to interpret healthy and diseased states by connecting genomic information with additional dynamic omics activity.

  •  详细资料

    • 关键词: Diabetes Mellitus, Type 2/genetics; Female; Gene Expression Profiling; *Genome, Human; *Genomics; Humans; *Individualized Medicine; Male; Metabolomics; Middle Aged; Mutation; Proteomics; Respiratory Syncytial Viruses/isolation & purification; Rhinovirus/isolation & purification
    • 文献种类: Journal Article
    • 期刊名称: Cell
    • 期刊缩写: Cell
    • 期卷页: 2012年  第148卷 第6期 1293-1307页
    • 地址: Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
    • ISBN: 0092-8674

  • 学科领域 生物医药 » 生物学

  •  所属群组

    生物综合  

  • 相关链接 DOI URL 

  •  附 件

    PDF附件Personal omics profiling reveals dynamic molecular and medical phenotypes 
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