easyEWAS: a flexible and user-friendly R package for epigenome-wide association study
- Yuting Wang 1, Meijie Jiang 1, Siyuan Niu 1, Xu Gao 1,2,3,4,5
- Yuting Wang 1, Meijie Jiang 1, Siyuan Niu 1
- 1Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, 100191, China.
- 2Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, 100191, China.
- 3Peking University Institute of Environmental Medicine, Beijing, 100191, China.
- 4Center for Healthy Aging, Peking University Health Science Center, Beijing, 100191, China.
- 5Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Heath, Guilin Medical University, Guilin, 541199, China.
- 0Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, 100191, China.
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View abstract on PubMed
Summary
This summary is machine-generated.easyEWAS is a user-friendly R package simplifying epigenome-wide association studies (EWAS) using Illumina methylation Beadchips. It streamlines analysis and interpretation, making DNA methylation research more accessible for public health and clinical settings.
Area Of Science
- Genomics and Bioinformatics
- Epigenetics and DNA Methylation Analysis
Background
- High-throughput sequencing, particularly Illumina DNA methylation Beadchips, has accelerated epigenome-wide association studies (EWAS).
- Existing EWAS tools are often complex, hindering accessibility for researchers and clinicians with limited bioinformatics expertise.
- This complexity complicates study design, downstream analysis, and interpretation of DNA methylation data.
Purpose Of The Study
- To develop a flexible and user-friendly R package, easyEWAS, for DNA methylation research.
- To simplify the process of conducting EWAS using Illumina DNA methylation Beadchips.
- To facilitate downstream analysis, result interpretation, and validation in clinical and public health research.
Main Methods
- Integrated state-of-the-art EWAS analysis methods into a single R package.
- Included statistical methods for differential methylation position and region analysis (DMRcate).
- Incorporated comprehensive functional annotation, result visualization, and bootstrap-based internal validation.
Main Results
- easyEWAS provides a streamlined workflow for EWAS using Illumina methylation Beadchips.
- The package supports differential methylation analysis, functional annotation, and visualization.
- Demonstrated utility in simplifying EWAS for asthma research, enhancing accessibility for public health and clinical applications.
Conclusions
- easyEWAS significantly simplifies and streamlines DNA methylation-based research.
- The package enhances the accessibility of EWAS for clinicians and public health professionals.
- easyEWAS effectively advances DNA methylation research in public health and clinical settings.
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