Epigenome-wide Association Study Shows Differential DNA Methylation of MDC1, KLF9, and CUTA in Autoimmune Thyroid Disease

Author:

Lafontaine Nicole12ORCID,Shore Christopher J3ORCID,Campbell Purdey J1ORCID,Mullin Benjamin H14ORCID,Brown Suzanne J1ORCID,Panicker Vijay12ORCID,Dudbridge Frank5ORCID,Brix Thomas H6ORCID,Hegedüs Laszlo6ORCID,Wilson Scott G134ORCID,Bell Jordana T3ORCID,Walsh John P12ORCID

Affiliation:

1. Department of Endocrinology & Diabetes, Sir Charles Gairdner Hospital , Nedlands, WA, 6009 , Australia

2. Medical School, University of Western Australia , Crawley, WA, 6009 , Australia

3. Department of Twin Research & Genetic Epidemiology, King's College London , London, SE1 7EH , UK

4. School of Biomedical Sciences, University of Western Australia , Perth, 6009 , Australia

5. Population Health Sciences, University of Leicester , Leicester, LE1 7RH , UK

6. Department of Endocrinology and Metabolism, Odense University Hospital , Odense, 5000 , Denmark

Abstract

Abstract Context Autoimmune thyroid disease (AITD) includes Graves disease (GD) and Hashimoto disease (HD), which often run in the same family. AITD etiology is incompletely understood: Genetic factors may account for up to 75% of phenotypic variance, whereas epigenetic effects (including DNA methylation [DNAm]) may contribute to the remaining variance (eg, why some individuals develop GD and others HD). Objective This work aimed to identify differentially methylated positions (DMPs) and differentially methylated regions (DMRs) comparing GD to HD. Methods Whole-blood DNAm was measured across the genome using the Infinium MethylationEPIC array in 32 Australian patients with GD and 30 with HD (discovery cohort) and 32 Danish patients with GD and 32 with HD (replication cohort). Linear mixed models were used to test for differences in quantile-normalized β values of DNAm between GD and HD and data were later meta-analyzed. Comb-p software was used to identify DMRs. Results We identified epigenome-wide significant differences (P < 9E-8) and replicated (P < .05) 2 DMPs between GD and HD (cg06315208 within MDC1 and cg00049440 within KLF9). We identified and replicated a DMR within CUTA (5 CpGs at 6p21.32). We also identified 64 DMPs and 137 DMRs in the meta-analysis. Conclusion Our study reveals differences in DNAm between GD and HD, which may help explain why some people develop GD and others HD and provide a link to environmental risk factors. Additional research is needed to advance understanding of the role of DNAm in AITD and investigate its prognostic and therapeutic potential.

Funder

Australian National Health and Medical Research Council

Publisher

The Endocrine Society

Subject

Biochemistry (medical),Clinical Biochemistry,Endocrinology,Biochemistry,Endocrinology, Diabetes and Metabolism

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