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Fig. 1 | BMC Medicine

Fig. 1

From: A novel approach to risk exposure and epigenetics—the use of multidimensional context to gain insights into the early origins of cardiometabolic and neurocognitive health

Fig. 1

Analysis workflow schematic. Part 1 (aqua) involves component-based analysis to integrate two multidimensional data sets, risk and DNAm. We obtain a new set of variables representing variability in methylation at birth that reflect risk exposure, which we call genome-wide DNAm patterns (gwDNAm patterns). Part 2 (purple) involves observing the interaction of variables and covariates that could lead to a given outcome using decision tree analysis. This is directly compared to relations to outcomes that could arise through random chance alone. In this way, this analysis can inform us of robust relations between heterogeneous risks and complex traits

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BMC Medicine

ISSN: 1741-7015

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