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Novel insights into systemic sclerosis using a sensitive computational method to analyze whole-genome bisulfite sequencing data.

Authors :
Yu, Jeffrey C. Y.
Zeng, Yixiao
Zhao, Kaiqiong
Lu, Tianyuan
Oros Klein, Kathleen
Colmegna, Inés
Lora, Maximilien
Bhatnagar, Sahir R.
Leask, Andrew
Greenwood, Celia M. T.
Hudson, Marie
Source :
Clinical Epigenetics. 6/3/2023, Vol. 15 Issue 1, p1-13. 13p.
Publication Year :
2023

Abstract

Background: Abnormal DNA methylation is thought to contribute to the onset and progression of systemic sclerosis. Currently, the most comprehensive assay for profiling DNA methylation is whole-genome bisulfite sequencing (WGBS), but its precision depends on read depth and it may be subject to sequencing errors. SOMNiBUS, a method for regional analysis, attempts to overcome some of these limitations. Using SOMNiBUS, we re-analyzed WGBS data previously analyzed using bumphunter, an approach that initially fits single CpG associations, to contrast DNA methylation estimates by both methods. Methods: Purified CD4+ T lymphocytes of 9 SSc and 4 control females were sequenced using WGBS. We separated the resulting sequencing data into regions with dense CpG data, and differentially methylated regions (DMRs) were inferred with the SOMNiBUS region-level test, adjusted for age. Pathway enrichment analysis was performed with ingenuity pathway analysis (IPA). We compared the results obtained by SOMNiBUS and bumphunter. Results: Of 8268 CpG regions of ≥ 60 CpGs eligible for analysis with SOMNiBUS, we identified 131 DMRs and 125 differentially methylated genes (DMGs; p-values less than Bonferroni-corrected threshold of 6.05–06 controlling family-wise error rate at 0.05; 1.6% of the regions). In comparison, bumphunter identified 821,929 CpG regions, 599 DMRs (of which none had ≥ 60 CpGs) and 340 DMGs (q-value of 0.05; 0.04% of all regions). The top ranked gene identified by SOMNiBUS was FLT4, a lymphangiogenic orchestrator, and the top ranked gene on chromosome X was CHST7, known to catalyze the sulfation of glycosaminoglycans in the extracellular matrix. The top networks identified by IPA included connective tissue disorders. Conclusions: SOMNiBUS is a complementary method of analyzing WGBS data that enhances biological insights into SSc and provides novel avenues of investigation into its pathogenesis. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18687075
Volume :
15
Issue :
1
Database :
Academic Search Index
Journal :
Clinical Epigenetics
Publication Type :
Academic Journal
Accession number :
164079785
Full Text :
https://doi.org/10.1186/s13148-023-01513-w