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Umbilical cord blood DNA methylation in children who later develop type 1 diabetes
Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland; InFLAMES Research Flagship Center, Turku, Finland; Turku Doctoral Programme of Molecular Medicine, University of Turku, Turku, Finland; Department of Computer Science, Aalto University, Espoo, Finland .
Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland; InFLAMES Research Flagship Center, Turku, Finland .
Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland; InFLAMES Research Flagship Center, Turku, Finland .
Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland; InFLAMES Research Flagship Center, Turku, Finland .
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2021 (English)In: European Journal of Immunology, ISSN 0014-2980, E-ISSN 1521-4141, Vol. 51, no Suppl. 1, p. 291-291Article in journal, Meeting abstract (Other academic) Published
Abstract [en]

Distinct DNA methylation patterns have recently been observed to precede Type 1 Diabetes in whole blood collected from young children. Our aim was to determine if such methylation patterns are present already at the time of birth. Reduced representation bisulfite sequencing (RRBS) analysis was performed on a unique collection of umbilical cord blood samples collected within the Type 1 Diabetes Prediction and Prevention (DIPP) study. Children later diagnosed with Type 1 Diabetes and/or testing positive for multiple islet autoantibodies (N=43) were compared to control individuals (N=79), who remained autoantibody‐negative throughout the DIPP follow‐up until 15 years of age. Altogether 24 clinical and technical covariates related to the pregnancy and the mother were included in a binomial mixed effects model, which was fit separately for each high‐coverage CpG site, followed by spatial and multiple testing adjustment of P values. We discovered a strong inflation of P values, which was caused by a standard spatial adjustment method. Findings that were based on Benjamini‐Hochberg corrected spatially adjusted P values, could not be validated by Pyrosequencing. We therefore used permutation‐based significance analysis and showed that sex‐associated differentially methylated cytosines could be reproducibly detected with this approach. After empirical type 1 error control, no differences in cord blood methylation patterns were observed between cases and controls. Differences between children who progress to Type 1 Diabetes and those who remain healthy throughout childhood, are not yet present in the perinatal DNA methylome.

Place, publisher, year, edition, pages
John Wiley & Sons, 2021. Vol. 51, no Suppl. 1, p. 291-291
Keywords [en]
Autoimmunity, diabetes, molecular immunology
National Category
Immunology in the medical area
Identifiers
URN: urn:nbn:se:oru:diva-97895ISI: 000753366401411OAI: oai:DiVA.org:oru-97895DiVA, id: diva2:1643321
Conference
6th European Congress of Immunology, (Virtual meeting), September 1–4, 2021
Available from: 2022-03-09 Created: 2022-03-09 Last updated: 2022-03-09Bibliographically approved

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Oresic, Matej

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