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Updated: Jun 30, 2026

An Integrated Platform for Genome-wide Mapping of Chromatin States Using High-throughput ChIP-sequencing in Tumor Tissues
Published on: April 5, 2018
Hidden hypotheses in 'hypothesis-free' genome-wide epigenetic associations
Edward D Barker1, Susanna Roberts1, Esther Walton2
1Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK.
Abstract:
The recent interest in epigenetics within mental health research, from a developmental perspective, stems from the potential of DNA methylation to index both exposure to adversity and vulnerability for mental health problems. Genome-wide technology has facilitated epigenome-wide association studies (EWAS), permitting 'hypothesis-free' examinations in relation to adversity and/or mental health problems. In EWAS, rather than focusing on a priori established candidate genes, the genome is screened for DNA methylation, thereby enabling a more comprehensive representation of variation associated with complex disease. Despite their 'hypothesis-free' label, however, results of EWAS are in fact conditional on several a priori hypotheses, dictated by the design of EWAS platforms as well as assumptions regarding the relevance of the biological tissue for mental health phenotypes. In this short report, we review three hidden hypotheses - and provide recommendations - that combined will be useful in designing and interpreting EWAS projects.
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