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Novel insights into systemic sclerosis using a sensitive computational method to analyze whole-genome bisulfite sequencing data.
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.
Afiliação
  • Yu JCY; McGill University, 845 Sherbrooke St W, Montreal, H3A 0G4, Canada.
  • Zeng Y; McGill University, 845 Sherbrooke St W, Montreal, H3A 0G4, Canada.
  • Zhao K; McGill University, 845 Sherbrooke St W, Montreal, H3A 0G4, Canada.
  • Lu T; McGill University, 845 Sherbrooke St W, Montreal, H3A 0G4, Canada.
  • Oros Klein K; Lady Davis Institute for Medical Research, Jewish General Hospital, 3755 Côte Sainte Catherine, Montreal, H3T 1E2, Canada.
  • Colmegna I; McGill University, 845 Sherbrooke St W, Montreal, H3A 0G4, Canada.
  • Lora M; Research Institute of the McGill University Health Center, Montreal, Canada.
  • Bhatnagar SR; Research Institute of the McGill University Health Center, Montreal, Canada.
  • Leask A; McGill University, 845 Sherbrooke St W, Montreal, H3A 0G4, Canada.
  • Greenwood CMT; University of Saskatchewan, Saskatoon, Canada.
  • Hudson M; McGill University, 845 Sherbrooke St W, Montreal, H3A 0G4, Canada.
Clin Epigenetics ; 15(1): 96, 2023 06 03.
Article em En | MEDLINE | ID: mdl-37270501
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Escleroderma Sistêmico / Metilação de DNA Tipo de estudo: Diagnostic_studies Limite: Female / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Escleroderma Sistêmico / Metilação de DNA Tipo de estudo: Diagnostic_studies Limite: Female / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article