Hasin Yehudit, Seldin Marcus, Lusis Aldons
Department of Medicine, University of California, 10833 Le Conte Avenue, A2-237 CHS, Los Angeles, CA, 90095, USA.
Department of Human Genetics, University of California, 10833 Le Conte Avenue, A2-237 CHS, Los Angeles, CA, 90095, USA.
Genome Biol. 2017 May 5;18(1):83. doi: 10.1186/s13059-017-1215-1.
High-throughput technologies have revolutionized medical research. The advent of genotyping arrays enabled large-scale genome-wide association studies and methods for examining global transcript levels, which gave rise to the field of "integrative genetics". Other omics technologies, such as proteomics and metabolomics, are now often incorporated into the everyday methodology of biological researchers. In this review, we provide an overview of such omics technologies and focus on methods for their integration across multiple omics layers. As compared to studies of a single omics type, multi-omics offers the opportunity to understand the flow of information that underlies disease.
高通量技术彻底改变了医学研究。基因分型阵列的出现使大规模全基因组关联研究以及检测全球转录水平的方法成为可能，从而催生了“整合遗传学”领域。其他组学技术，如蛋白质组学和代谢组学，如今常常被纳入生物研究人员的日常方法中。在本综述中，我们概述了此类组学技术，并重点关注跨多个组学层面进行整合的方法。与单一组学类型的研究相比，多组学提供了理解疾病潜在信息流的机会。
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