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Genome Biol. 2017 May 5;18(1):83. doi: 10.1186/s13059-017-1215-1.

Multi-omics approaches to disease.

Author information

1
Department of Medicine, University of California, 10833 Le Conte Avenue, A2-237 CHS, Los Angeles, CA, 90095, USA.
2
Department of Human Genetics, University of California, 10833 Le Conte Avenue, A2-237 CHS, Los Angeles, CA, 90095, USA.
3
Department of Medicine, University of California, 10833 Le Conte Avenue, A2-237 CHS, Los Angeles, CA, 90095, USA. jlusis@mednet.ucla.edu.
4
Department of Microbiology, Immunology and Molecular Genetics, 10833 Le Conte Avenue, A2-237 CHS, Los Angeles, CA, 90095, USA. jlusis@mednet.ucla.edu.
5
Department of Human Genetics, University of California, 10833 Le Conte Avenue, A2-237 CHS, Los Angeles, CA, 90095, USA. jlusis@mednet.ucla.edu.

Abstract

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.

PMID:
28476144
PMCID:
PMC5418815
DOI:
10.1186/s13059-017-1215-1
[Indexed for MEDLINE]
Free PMC Article

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