Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

Changes in the Pattern of DNA Methylation Associate with Twin Discordance in SLE


ABSTRACT: This is the first high-throughput analysis of DNA methylation in autoimmune diseases. We have used a cohort of MZ twins discordant for three diseases whose clinical signs often overlap: systemic lupus erythematosus (SLE), rheumatoid arthritis and dermatomyositis. Only MZ twins discordant for SLE featured widespread changes in the DNA methylation status of a significant number of genes. Individual analysis confirmed the existence of DNA methylation and expression changes in genes relevant to SLE pathogenesis. Our findings not only identify potentially relevant DNA methylation markers for the clinical characterization of SLE patients but also support the notion that epigenetic changes may be critical in the clinical manifestations of autoimmune disease. Total DNA isolated by standard procedures from 59 White Blood Cell (WBC) samples corresponding to monozygotic twins discordant for three different autoimmune diseases: systemic lupus erythematosus (SLE), rheumatoid arthritis (RA) and dermatomyositis (DM) and two additional controls for each MZ twin pair.

ORGANISM(S): Homo sapiens

SUBMITTER: Reiner Siebert 

PROVIDER: E-GEOD-19033 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

altmetric image

Publications


Monozygotic (MZ) twins are partially concordant for most complex diseases, including autoimmune disorders. Whereas phenotypic concordance can be used to study heritability, discordance suggests the role of non-genetic factors. In autoimmune diseases, environmentally driven epigenetic changes are thought to contribute to their etiology. Here we report the first high-throughput and candidate sequence analyses of DNA methylation to investigate discordance for autoimmune disease in twins. We used a  ...[more]

Similar Datasets

2009-11-17 | GSE19033 | GEO
2018-03-19 | GSE110607 | GEO
2015-04-20 | GSE43975 | GEO
2015-12-01 | GSE68336 | GEO
2014-12-31 | E-MTAB-3051 | biostudies-arrayexpress
2015-01-01 | E-GEOD-59869 | biostudies-arrayexpress
2010-12-30 | E-GEOD-24060 | biostudies-arrayexpress
2024-01-04 | GSE252408 | GEO
2024-01-04 | GSE252405 | GEO
2012-04-14 | E-GEOD-37146 | biostudies-arrayexpress