Abstract

In epigenome-wide association studies analysing DNA methylation from samples containing multiple cell types, it is essential to adjust the analysis for cell type composition. One well established strategy for achieving this is reference-based cell type deconvolution, which relies on knowledge of the DNA methylation profiles of purified constituent cell types. These are then used to estimate the cell type proportions of each sample, which can then be incorporated to adjust the association analysis. Bronchoalveolar lavage is commonly used to sample the lung in clinical practice and contains a mixture of different cell types that can vary in proportion across samples, affecting the overall methylation profile. A current barrier to the use of bronchoalveolar lavage in DNA methylation-based research is the lack of reference DNA methylation profiles for each of the constituent cell types, thus making reference-based cell composition estimation difficult. Herein, we use bronchoalveolar lavage samples collected from children with cystic fibrosis to define DNA methylation profiles for the four most common and clinically relevant cell types: alveolar macrophages, granulocytes, lymphocytes and alveolar epithelial cells. We then demonstrate the use of these methylation profiles in conjunction with an established reference-based methylation deconvolution method to estimate the cell type composition of two different tissue types; a publicly available dataset derived from artificial blood-based cell mixtures and further bronchoalveolar lavage samples. The reference DNA methylation profiles developed in this work can be used for future reference-based cell type composition estimation of bronchoalveolar lavage. This will facilitate the use of this tissue in studies examining the role of DNA methylation in lung health and disease.

Highlights

  • DNA methylation (DNAm) is the most widely studied epigenetic mark and is important in both development and disease [1]

  • Seventeen Bronchoalveolar lavage (BAL) samples obtained from children with cystic fibrosis (CF) were used for development of the BAL-specific reference panel

  • DNAm of pooled purified BAL-derived macrophage, granulocyte, lymphocyte and alveolar epithelial cells (AEC) samples was profiled on EPIC arrays in 2 batches; 9 arrays were run at Erasmus MC and 11 arrays at GenomeScan

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Summary

Introduction

DNA methylation (DNAm) is the most widely studied epigenetic mark and is important in both development and disease [1]. The biological sample used for EWAS should ideally be from a relevant organ/tissue [4] This is generally not possible in living humans. Previous work has shown that the unique DNAm signature of individual cell types can be leveraged to estimate their relative proportions in mixed-cell samples such as blood [6]. These cell type proportions can be accounted for in downstream statistical analysis [6]. As was demonstrated by Bakulski et al [7], reference DNAm signatures of cell types from one source (e.g., adult blood) may not be perfectly representative of similar cell types from a different source (e.g., cord blood)

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