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Identification of Type 1 Diabetes–Associated DNA Methylation Variable Positions That Precede Disease Diagnosis

Monozygotic (MZ) twin pair discordance for childhood-onset Type 1 Diabetes (T1D) is ∼50%, implicating roles for genetic and non-genetic factors in the aetiology of this complex autoimmune disease. Although significant progress has been made in elucidating the genetics of T1D in recent years, the non...

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Autores principales: Rakyan, Vardhman K., Beyan, Huriya, Down, Thomas A., Hawa, Mohammed I., Maslau, Siarhei, Aden, Deeqo, Daunay, Antoine, Busato, Florence, Mein, Charles A., Manfras, Burkhard, Dias, Kerith-Rae M., Bell, Christopher G., Tost, Jörg, Boehm, Bernhard O., Beck, Stephan, Leslie, R. David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3183089/
https://www.ncbi.nlm.nih.gov/pubmed/21980303
http://dx.doi.org/10.1371/journal.pgen.1002300
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author Rakyan, Vardhman K.
Beyan, Huriya
Down, Thomas A.
Hawa, Mohammed I.
Maslau, Siarhei
Aden, Deeqo
Daunay, Antoine
Busato, Florence
Mein, Charles A.
Manfras, Burkhard
Dias, Kerith-Rae M.
Bell, Christopher G.
Tost, Jörg
Boehm, Bernhard O.
Beck, Stephan
Leslie, R. David
author_facet Rakyan, Vardhman K.
Beyan, Huriya
Down, Thomas A.
Hawa, Mohammed I.
Maslau, Siarhei
Aden, Deeqo
Daunay, Antoine
Busato, Florence
Mein, Charles A.
Manfras, Burkhard
Dias, Kerith-Rae M.
Bell, Christopher G.
Tost, Jörg
Boehm, Bernhard O.
Beck, Stephan
Leslie, R. David
author_sort Rakyan, Vardhman K.
collection PubMed
description Monozygotic (MZ) twin pair discordance for childhood-onset Type 1 Diabetes (T1D) is ∼50%, implicating roles for genetic and non-genetic factors in the aetiology of this complex autoimmune disease. Although significant progress has been made in elucidating the genetics of T1D in recent years, the non-genetic component has remained poorly defined. We hypothesized that epigenetic variation could underlie some of the non-genetic component of T1D aetiology and, thus, performed an epigenome-wide association study (EWAS) for this disease. We generated genome-wide DNA methylation profiles of purified CD14(+) monocytes (an immune effector cell type relevant to T1D pathogenesis) from 15 T1D–discordant MZ twin pairs. This identified 132 different CpG sites at which the direction of the intra-MZ pair DNA methylation difference significantly correlated with the diabetic state, i.e. T1D–associated methylation variable positions (T1D–MVPs). We confirmed these T1D–MVPs display statistically significant intra-MZ pair DNA methylation differences in the expected direction in an independent set of T1D–discordant MZ pairs (P = 0.035). Then, to establish the temporal origins of the T1D–MVPs, we generated two further genome-wide datasets and established that, when compared with controls, T1D–MVPs are enriched in singletons both before (P = 0.001) and at (P = 0.015) disease diagnosis, and also in singletons positive for diabetes-associated autoantibodies but disease-free even after 12 years follow-up (P = 0.0023). Combined, these results suggest that T1D–MVPs arise very early in the etiological process that leads to overt T1D. Our EWAS of T1D represents an important contribution toward understanding the etiological role of epigenetic variation in type 1 diabetes, and it is also the first systematic analysis of the temporal origins of disease-associated epigenetic variation for any human complex disease.
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spelling pubmed-31830892011-10-06 Identification of Type 1 Diabetes–Associated DNA Methylation Variable Positions That Precede Disease Diagnosis Rakyan, Vardhman K. Beyan, Huriya Down, Thomas A. Hawa, Mohammed I. Maslau, Siarhei Aden, Deeqo Daunay, Antoine Busato, Florence Mein, Charles A. Manfras, Burkhard Dias, Kerith-Rae M. Bell, Christopher G. Tost, Jörg Boehm, Bernhard O. Beck, Stephan Leslie, R. David PLoS Genet Research Article Monozygotic (MZ) twin pair discordance for childhood-onset Type 1 Diabetes (T1D) is ∼50%, implicating roles for genetic and non-genetic factors in the aetiology of this complex autoimmune disease. Although significant progress has been made in elucidating the genetics of T1D in recent years, the non-genetic component has remained poorly defined. We hypothesized that epigenetic variation could underlie some of the non-genetic component of T1D aetiology and, thus, performed an epigenome-wide association study (EWAS) for this disease. We generated genome-wide DNA methylation profiles of purified CD14(+) monocytes (an immune effector cell type relevant to T1D pathogenesis) from 15 T1D–discordant MZ twin pairs. This identified 132 different CpG sites at which the direction of the intra-MZ pair DNA methylation difference significantly correlated with the diabetic state, i.e. T1D–associated methylation variable positions (T1D–MVPs). We confirmed these T1D–MVPs display statistically significant intra-MZ pair DNA methylation differences in the expected direction in an independent set of T1D–discordant MZ pairs (P = 0.035). Then, to establish the temporal origins of the T1D–MVPs, we generated two further genome-wide datasets and established that, when compared with controls, T1D–MVPs are enriched in singletons both before (P = 0.001) and at (P = 0.015) disease diagnosis, and also in singletons positive for diabetes-associated autoantibodies but disease-free even after 12 years follow-up (P = 0.0023). Combined, these results suggest that T1D–MVPs arise very early in the etiological process that leads to overt T1D. Our EWAS of T1D represents an important contribution toward understanding the etiological role of epigenetic variation in type 1 diabetes, and it is also the first systematic analysis of the temporal origins of disease-associated epigenetic variation for any human complex disease. Public Library of Science 2011-09-29 /pmc/articles/PMC3183089/ /pubmed/21980303 http://dx.doi.org/10.1371/journal.pgen.1002300 Text en Rakyan et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Rakyan, Vardhman K.
Beyan, Huriya
Down, Thomas A.
Hawa, Mohammed I.
Maslau, Siarhei
Aden, Deeqo
Daunay, Antoine
Busato, Florence
Mein, Charles A.
Manfras, Burkhard
Dias, Kerith-Rae M.
Bell, Christopher G.
Tost, Jörg
Boehm, Bernhard O.
Beck, Stephan
Leslie, R. David
Identification of Type 1 Diabetes–Associated DNA Methylation Variable Positions That Precede Disease Diagnosis
title Identification of Type 1 Diabetes–Associated DNA Methylation Variable Positions That Precede Disease Diagnosis
title_full Identification of Type 1 Diabetes–Associated DNA Methylation Variable Positions That Precede Disease Diagnosis
title_fullStr Identification of Type 1 Diabetes–Associated DNA Methylation Variable Positions That Precede Disease Diagnosis
title_full_unstemmed Identification of Type 1 Diabetes–Associated DNA Methylation Variable Positions That Precede Disease Diagnosis
title_short Identification of Type 1 Diabetes–Associated DNA Methylation Variable Positions That Precede Disease Diagnosis
title_sort identification of type 1 diabetes–associated dna methylation variable positions that precede disease diagnosis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3183089/
https://www.ncbi.nlm.nih.gov/pubmed/21980303
http://dx.doi.org/10.1371/journal.pgen.1002300
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