Omics for prediction of environmental health effects: Blood leukocyte-based cross-omic profiling reliably predicts diseases associated with tobacco smoking
The utility of blood-based omic profiles for linking environmental exposures to their potential
health effects was evaluated in 649 individuals, drawn from the general population, in
relation to tobacco smoking, an exposure with well-characterised health effects. Using
disease connectivity analysis, we found that the combination of smoking-modified, genome-
wide gene (including miRNA) expression and DNA methylation profiles predicts with
remarkable reliability most diseases and conditions independently known to be causally …
health effects was evaluated in 649 individuals, drawn from the general population, in
relation to tobacco smoking, an exposure with well-characterised health effects. Using
disease connectivity analysis, we found that the combination of smoking-modified, genome-
wide gene (including miRNA) expression and DNA methylation profiles predicts with
remarkable reliability most diseases and conditions independently known to be causally …
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