Multi-omics approaches to disease
Мультиомные подходы к изучению заболеваний
2017-05-05
SCID: 54.1/nrjdtaya
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genotyping arraysintegrative geneticsmetabolomicsmulti-omicsproteomics
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Abstract (AI)
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.
Key Findings
1
High-throughput technologies (genotyping arrays, transcriptomics) have enabled large-scale genome-wide association studies and integrative genetics methods.
2
Multi-omics integration methods enable analysis across multiple omics layers to better understand disease-related information flow.
3
Multi-omics studies provide advantages over single-omics studies by offering opportunities to trace the flow of biological information underlying disease.
4
Proteomics and metabolomics are increasingly incorporated alongside genomics and transcriptomics in routine biological research.
Research Object
Multi-omics datasets/technologies applied to disease research
Research Subject
Integration methods across multiple omics layers to understand information flow underlying disease
Publication Details
Publication Date
2017-05-05
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