Multi-Omics Profiling for Health

被引:117
作者
Babu, Mohan [1 ]
Snyder, Michael [1 ]
机构
[1] Stanford Univ, Dept Genet, Sch Med, Stanford, CA 94304 USA
基金
美国国家卫生研究院;
关键词
INTEGRATIVE ANALYSIS; CHROMATIN IMMUNOPRECIPITATION; REGULATORY VARIATION; MASS-SPECTROMETRY; PHYSICAL-ACTIVITY; PERSONAL OMICS; RNA; BINDING; METABOLOMICS; OPPORTUNITIES;
D O I
10.1016/j.mcpro.2023.100561
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The world has witnessed a steady rise in both non-infectious and infectious chronic diseases, prompting a cross-disciplinary approach to understand and treating disease. Current medical care focuses on treating people after they become patients rather than preventing illness, leading to high costs in treating chronic and late-stage diseases. Additionally, a "one-size-fits all" approach to health care does not take into account individual differ-ences in genetics, environment, or lifestyle factors, decreasing the number of people benefiting from in-terventions. Rapid advances in omics technologies and progress in computational capabilities have led to the development of multi-omics deep phenotyping, which profiles the interaction of multiple levels of biology over time and empowers precision health approaches. This review highlights current and emerging multi-omics mo-dalities for precision health and discusses applications in the following areas: genetic variation, cardio-metabolic diseases, cancer, infectious diseases, organ trans-plantation, pregnancy, and longevity/aging. We will briefly discuss the potential of multi-omics approaches in dis-entangling host-microbe and host-environmental in-teractions. We will touch on emerging areas of electronic health record and clinical imaging integration with muti-omics for precision health. Finally, we will briefly discuss the challenges in the clinical implementation of multi-omics and its future prospects.
引用
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页数:17
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