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High-resolution targeted bisulfite sequencing reveals blood cell type-specific DNA methylation patterns in IL13 and ORMDL3

BACKGROUND: Methylation of DNA at CpG sites is an epigenetic modification and a potential modifier of disease risk, possibly mediating environmental effects. Currently, DNA methylation is commonly assessed using specific microarrays that sample methylation at a few % of all methylated sites. METHODS...

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Detalles Bibliográficos
Autores principales: Söderhäll, Cilla, Reinius, Lovisa E., Salmenperä, Pertteli, Gentile, Massimiliano, Acevedo, Nathalie, Konradsen, Jon R., Nordlund, Björn, Hedlin, Gunilla, Scheynius, Annika, Myllykangas, Samuel, Kere, Juha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8111952/
https://www.ncbi.nlm.nih.gov/pubmed/33971943
http://dx.doi.org/10.1186/s13148-021-01093-7
Descripción
Sumario:BACKGROUND: Methylation of DNA at CpG sites is an epigenetic modification and a potential modifier of disease risk, possibly mediating environmental effects. Currently, DNA methylation is commonly assessed using specific microarrays that sample methylation at a few % of all methylated sites. METHODS: To understand if significant information on methylation can be added by a more comprehensive analysis of methylation, we set up a quantitative method, bisulfite oligonucleotide-selective sequencing (Bs-OS-seq), and compared the data with microarray-derived methylation data. We assessed methylation at two asthma-associated genes, IL13 and ORMDL3, in blood samples collected from children with and without asthma and fractionated white blood cell types from healthy adult controls. RESULTS: Our results show that Bs-OS-seq can uncover vast amounts of methylation variation not detected by commonly used array methods. We found that high-density methylation information from even one gene can delineate the main white blood cell lineages. CONCLUSIONS: We conclude that high-resolution methylation studies can yield clinically important information at selected specific loci missed by array-based methods, with potential implications for future studies of methylation-disease associations. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13148-021-01093-7.