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Abstract
Excitement about DNA methylation biomarkers has been tempered by a growing appreciation of the complex causal relations with cell fate. Intersample differences in DNA methylation can be partitioned into those that are independent of cellular heterogeneity and those that are caused by differential mixtures of cell types. Generally, the field has assumed that the former are more likely to be causative of disease. The latter has been considered a likely consequence of disease and a confounder to be removed. We argue that the conceptual separation of these signals is artificial and not necessarily informative about causation. DNA methylation is a very sensitive measure of cell fate mix and therefore reveals much about underlying disease etiology including aspects of causation.
Original language | English |
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Pages (from-to) | 1143-1150 |
Number of pages | 8 |
Journal | Epigenomics |
Volume | 9 |
Issue number | 8 |
DOIs | |
Publication status | Published - Aug 2017 |
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Dive into the research topics of 'Is cellular heterogeneity merely a confounder to be removed from epigenome-wide association studies?'. Together they form a unique fingerprint.Projects
- 1 Finished
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Rae-Chi Huang - Early Life Programming of Cardiovascular Disease
Huang, R.-C. (Investigator 01)
NHMRC National Health and Medical Research Council
1/01/13 → 29/02/20
Project: Research