High-specificity bioinformatics framework for epigenomic profiling of discordant twins reveals specific and shared markers for ACPA and ACPA-positive rheumatoid arthritis

High-specificity bioinformatics framework for epigenomic profiling of discordant twins reveals specific and shared markers for ACPA and ACPA-positive rheumatoid arthritis

Abstract Background Twin studies are powerful models to elucidate epigenetic modifications resulting from gene–environment interactions. Yet, commonly a limited number of clinical twin samples are available, leading to an underpowered situation afflicted with false positives and hampered by low sens...

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Bibliographic Details
Main Authors: David Gomez-Cabrero, Malin Almgren, Louise K. Sjöholm, Aase H. Hensvold, Mikael V. Ringh, Rakel Tryggvadottir, Juha Kere, Annika Scheynius, Nathalie Acevedo, Lovisa Reinius, Margaret A. Taub, Carolina Montano, Martin J. Aryee, Jason I. Feinberg, Andrew P. Feinberg, Jesper Tegnér, Lars Klareskog, Anca I. Catrina, Tomas J. Ekström
Format: Article
Language:English
Published: BMC 2016-11-01
Series:Genome Medicine
Subjects:
Rheumatoid arthritis
ACPA
DNA methylation
Epigenetics
Bioinformatics
Online Access:http://link.springer.com/article/10.1186/s13073-016-0374-0

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http://link.springer.com/article/10.1186/s13073-016-0374-0

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