Epigenomics and Transcriptomics in the Prediction and Diagnosis of Childhood Asthma: Are We There Yet?
- PMID: 31001502
- PMCID: PMC6454089
- DOI: 10.3389/fped.2019.00115
Epigenomics and Transcriptomics in the Prediction and Diagnosis of Childhood Asthma: Are We There Yet?
Abstract
Asthma is the most common non-communicable chronic disease of childhood. Despite its high prevalence, to date we lack methods that are both efficient and accurate in diagnosing asthma. Most traditional approaches have been based on garnering clinical evidence, such as risk factors and exposures. Given the high heritability of asthma, more recent approaches have looked at genetic polymorphisms as potential "risk factors." However, genetic variants explain only a small proportion of asthma risk, and have been less than optimal at predicting risk for individual subjects. Epigenomic studies offer significant advantages over previous approaches. Epigenetic regulation is highly tissue-specific, and can induce both short- and long-term changes in gene expression. Such changes can start in utero, can vary throughout the life span, and in some instances can be passed on from one generation to another. Most importantly, the epigenome can be modified by environmental factors and exposures, and thus epigenetic and transcriptomic profiling may yield the most accurate risk estimates for a given patient by incorporating environmental (and treatment) effects throughout the lifespan. Here we will review the most recent advances in the use of epigenetic and transcriptomic analysis for the early diagnosis of asthma and atopy, as well as challenges and future directions in the field as it moves forward. We will particularly focus on DNA methylation, the most studied mechanism of epigenetic regulation.
Keywords: DNA methylation; RNA sequencing; childhood asthma; epigenetics; transcriptomics.
Figures


References
-
- World Health Organization Asthma Fact Sheet. WHO (2017) [updated 08/31/2017 Asthma fact sheet] Available online at: http://www.who.int/mediacentre/factsheets/fs307/en/ (accessed January 1, 2019).
-
- Gibson GJ, Loddenkemper R, Sibille Y, Lundback B. The economic burden of lung disease. In: The European Lung White Book: Respiratory Health and Disease in Europe. Wakefield: Charlesworth Press; (2013). p. 16–27. Available online at: https://www.erswhitebook.org/files/public/Chapters/02_economics.pdf
-
- CDC . Asthma Data, Statistics, and Surveillance. (2018) [updated 5/16/2018. Most Recent Asthma Data]. Available online at: http://www.cdc.gov/asthma/most_recent_data.htm (accessed December 29, 2018).
Publication types
Grants and funding
LinkOut - more resources
Full Text Sources