The Coherence Problem: Finding Meaning in GWAS Complexity
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Updated: Feb 2, 2026

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
Published on: July 1, 2020
Mark A Reimers1, Carl Craver2, Mikhail Dozmorov3
1Neuroscience Program and Department of Biomedical Engineering, Michigan State University, 775 Woodlot Rd, East Lansing, MI, 48824, USA. reimersm@msu.edu.
Abstract:
Genome wide association studies (GWAS) for behavioral traits and psychiatric disorders have inspired both confident optimism and withering criticism. Although many recent findings from well powered GWAS have been replicated in independent data sets, the genes identified have pinned down few if any underlying causal mechanisms. Therefore, a key issue is whether or not the genes implicated by GWAS form a coherent story on their own and thus could in principle lead to insight into the biological mechanisms underlying the trait or disorder. We sketch here four scenarios for how genes may contribute to traits and disorders; genetic studies may help elucidate mechanisms under only two of our scenarios. We also describe here an approach to characterize, in an unbiased fashion, the molecular coherence of the gene sets implicated by GWAS of various behavioral and psychiatric phenotypes and we sketch how the four scenarios may be reflected in our molecular coherence measure.
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