Only one health, and so many omics

Area of Science:

• Biomedical research
• Systems biology
• Data science

Background:

• The study of complex diseases increasingly relies on multi-omics profiling.
• Advancements in technology yield massive datasets daily across various biological layers.
• Understanding health and disease requires examining multiple biological scales.

Purpose of the Study:

• To highlight the proliferation of omics disciplines in biological and medical research.
• To emphasize the necessity of a holistic approach for integrating multi-omics data.
• To underscore the potential of integrated omics for advancing disease understanding.

Main Methods:

• Review of current omics profiling techniques (genomics, proteomics, metabolomics, etc.).
• Discussion on data generation from diverse biological systems.
• Conceptual framework for data integration.

Main Results:

• A wide array of omics fields are now available for research, including genome, proteome, exome, transcriptome, epigenome, metabolome, microbiome, connectome, and exposome.
• Significant knowledge has been gained regarding the genetic basis of complex diseases.
• The sheer volume and diversity of omics data present both opportunities and challenges.

Conclusions:

• The abundance of omics data offers unprecedented opportunities for scientific discovery.
• A future-oriented, holistic approach is essential to effectively integrate and interpret multi-omics information.
• Integrating diverse omics data will be key to advancing our understanding of health and disease.