Multi-omics approaches to disease

被引：1494

作者：

Hasin, Yehudit ^{[1
,3
]}

Seldin, Marcus ^{[1
]}

Lusis, Aldons ^{[1
,2
,3
]}

机构：

[1] Univ Calif Los Angeles, Dept Med, 10833 Le Conte Ave,A2-237 CHS, Los Angeles, CA 90095 USA

[2] Immunol & Mol Genet, Dept Microbiol, 10833 Le Conte Ave,A2-237 CHS, Los Angeles, CA 90095 USA

[3] Univ Calif Los Angeles, Dept Human Genet, 10833 Le Conte Ave,A2-237 CHS, Los Angeles, CA 90095 USA

来源：

GENOME BIOLOGY | 2017年 / 18卷

关键词：

GENOME-WIDE ASSOCIATION; LONG NONCODING RNA; ENU MOUSE MUTAGENESIS; GENE-EXPRESSION; PROTEOMIC ANALYSIS; MASS-SPECTROMETRY; CIRCULAR RNAS; DIFFERENTIAL EXPRESSION; MICROBIOTA COMPOSITION; TRANSCRIPTOME ANALYSIS;

D O I：

10.1186/s13059-017-1215-1

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

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.

引用

页数：15

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