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Ann Allergy Asthma Immunol. 2019 Sep 5. pii: S1081-1206(19)31049-X. doi: 10.1016/j.anai.2019.08.460. [Epub ahead of print]

The Current State of Omics Technologies in the Clinical Management of Asthma and Allergic Diseases.

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Department of Medicine, Vanderbilt University Medical Center, Nashville, TN.
Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN.
Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN.
Department of Medicine, Vanderbilt University Medical Center, Nashville, TN. Electronic address:



To review the state of omics science specific to asthma and allergic diseases and discuss the current and potential applicability of omics in clinical disease prediction, treatment, and management Data Sources: Studies and reviews focused on the use of omics technologies in asthma and allergic disease research and clinical management were identified using PubMed STUDY SELECTIONS: Publications were included based on relevance, with emphasis placed on the most recent findings RESULTS: Omics-based research is increasingly being used to differentiate asthma and allergic disease subtypes, identify biomarkers and pathological mediators, predict patient responsiveness to specific therapies, and monitor disease control. While most studies have focused on genomics and transcriptomics approaches, increasing attention is being placed on omics technologies that assess the effect of environmental exposures on disease initiation and progression. Studies utilizing omics data to identify biological targets and pathways involved in asthma and allergic disease pathogenesis have primarily focused on a specific omics subtype, providing only a partial view of the disease process.


While omics technologies have advanced our understanding of the molecular mechanisms underlying asthma and allergic disease pathology, omics testing for these diseases are not standard of care at this point. Several important factors need to be addressed before these technologies can be effectively utilized in clinical practice. Use of clinical decision support systems and integration of these systems within electronic medical records will become increasingly important as omics technology becomes more widely utilized in the clinical setting.


allergic disease; asthma; clinical management; epigenomics; exposomics; genomics; lipidomics; metabolomics; microbiomics; phenomics; proteomics; transcriptomics


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