Abstract
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Highlights
A major goal in evolutionary and medical genetics is to identify the coordinated regulatory processes that differ between individuals as a function of their disease state, environment, or genetic background
We focused our simulations on the identification of ‘correlation QTL’, defined as SNPs that affect the magnitude of the correlation between two mRNA transcripts; we note that the results are generalizable to other predictor variables
Among metabolite pairs that showed the opposite pattern, we found an enrichment of fatty acids, as well as high-density lipoprotein (HDL) and LDL lipoproteins (Figure 3; Supplementary file 3)
Summary
A major goal in evolutionary and medical genetics is to identify the coordinated regulatory processes that differ between individuals as a function of their disease state, environment, or genetic background. Decanalization has been hypothesized to explain the recent rise of non-communicable diseases in humans (Gibson, 2009b; Hu et al, 2016), with the idea being that recent major shifts in diet and lifestyle have led to dysregulation of regulatory programs that evolved under past environmental conditions. Testing this hypothesis remains challenging in practice
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