bioRxivGeneticsPreprint
Long-term temporal stability of peripheral blood DNA methylation alterations in patients with inflammatory bowel disease.
V JoustraiD, Andrew Y. F. Li YimiD, Ishtu HagemaniD, Evgeni LeviniD, Alex T. AdamsiD, Jack J. SatsangiiD, Wouter J. de JongeiD, Peter HennemaniD, Geert D’HaensiD
Abstract
IntroductionThere is great current interest in the potential application of DNA methylation alterations in peripheral blood leukocytes (PBL) as biomarkers of susceptibility, progression and treatment response in inflammatory bowel disease (IBD). However, the intra-individual stability of PBL methylation in IBD has not been characterised. Here, we studied the long-term stability of all probes located on the Illumina HumanMethylation EPIC BeadChip array. MethodsWe followed a cohort of 46 adult IBD patients (36 Crohns disease (CD), 10 ulcerative colitis (UC), median age 44 (IQR: 27-56), 50% female) that received standard care without any intervention at the Amsterdam UMC. Paired PBL samples were collected at two time points with a median 7 (range: 2-9) years in between. Differential methylation and intra-class correlation (ICC) analyses were used to identify time-associated differences and temporally stable CpGs, respectively. ResultsAround 60% of all EPIC array loci presented poor intra-individual stability (ICC <0.50); 78.114 ({approx}9%) showed good (ICC 0.75 - 0.89); and 41.274 ({approx}5%) excellent (ICC [≥]0.90) stability. Focusing on previously identified consistently differentially methylated positions indicated that 22 CD-, 11 UC-, and 24 IBD-associated loci demonstrated high stability (ICC [≥]0.75) over time; of these, we observed a marked stability of CpG loci associated to the HLA genes. ConclusionOur data provide insight into the long-term stability of the PBL DNA methylome within an IBD context, facilitating the selection of biologically relevant and robust IBD-associated epigenetic biomarkers with increased potential for independent validation. These data also have potential implications in understanding disease pathogenesis.
- organism: human
- assay: DNA methylation
- research focus: differential expression
- approach: statistical model
- Citations
- 1
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