{"entity": "publication", "iuid": "5317cb6b3f9f46678580cd3f195d6120", "timestamp": "2026-08-22T09:50:07.735Z", "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/publication/5317cb6b3f9f46678580cd3f195d6120.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/publication/5317cb6b3f9f46678580cd3f195d6120"}}, "title": "High-resolution targeted bisulfite sequencing reveals blood cell type-specific DNA methylation patterns in IL13 and ORMDL3.", "authors": [{"family": "S\u00f6derh\u00e4ll", "given": "Cilla", "initials": "C", "orcid": "0000-0002-8397-3080", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/8e8f600e345a433291e43231c9f4d243.json"}}, {"family": "Reinius", "given": "Lovisa E", "initials": "LE"}, {"family": "Salmenper\u00e4", "given": "Pertteli", "initials": "P"}, {"family": "Gentile", "given": "Massimiliano", "initials": "M"}, {"family": "Acevedo", "given": "Nathalie", "initials": "N"}, {"family": "Konradsen", "given": "Jon R", "initials": "JR"}, {"family": "Nordlund", "given": "Bj\u00f6rn", "initials": "B"}, {"family": "Hedlin", "given": "Gunilla", "initials": "G"}, {"family": "Scheynius", "given": "Annika", "initials": "A"}, {"family": "Myllykangas", "given": "Samuel", "initials": "S"}, {"family": "Kere", "given": "Juha", "initials": "J"}], "type": "journal article", "published": "2021-05-10", "journal": {"title": "Clin Epigenetics", "issn": "1868-7083", "volume": "13", "issue": "1", "pages": "106", "issn-l": "1868-7075"}, "abstract": "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.\n\nTo 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.\n\nOur 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.\n\nWe 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.", "doi": "10.1186/s13148-021-01093-7", "pmid": "33971943", "labels": [], "xrefs": [{"db": "pmc", "key": "PMC8111952"}, {"db": "pii", "key": "10.1186/s13148-021-01093-7"}], "notes": [], "created": "2026-08-21T12:40:58.549Z", "modified": "2026-08-21T12:40:58.608Z"}