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Updated: May 6, 2026

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
Published on: July 1, 2020
Beyond GWASs: illuminating the dark road from association to function.
Stacey L Edwards1, Jonathan Beesley, Juliet D French
1Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland 4029, Australia; School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Queensland 4072, Australia.
Genome-wide association studies (GWASs) identify genetic variations linked to traits and drug responses. This review explores methods to pinpoint specific genes targeted by these associations, especially noncoding variants.
Area of Science:
- Genetics
- Genomics
- Bioinformatics
Background:
- Genome-wide association studies (GWASs) have identified numerous common genetic variants associated with various traits and drug responses.
- A significant challenge remains in precisely identifying the genes targeted by these GWAS associations.
- Many identified variants are located in noncoding regions, necessitating specialized approaches for functional interpretation.
Purpose of the Study:
- To review current strategies for the functional follow-up of GWAS loci.
- To highlight methods for prioritizing and verifying functional single nucleotide polymorphisms (SNPs).
- To focus on approaches for understanding the mechanisms of noncoding variants.
Main Methods:
- Fine mapping of GWAS signals to narrow down potential causal variants.
- Integration of genetic epidemiology and bioinformatics for SNP prioritization.
- In vitro and in vivo experimental validation of predicted molecular mechanisms.
- Assessment of noncoding variant effects on transcriptional regulation, noncoding RNA function, and epigenetic regulation.
Main Results:
- The majority of GWAS-identified variants are in noncoding genomic regions.
- Functional follow-up strategies are crucial for translating genetic discoveries into biological insights.
- Prioritization and experimental verification methods are advancing the identification of targeted genes.
Conclusions:
- Effective functional follow-up of GWAS loci is essential for understanding disease mechanisms and drug responses.
- Specialized strategies are needed to interpret the impact of noncoding variants.
- These integrated approaches accelerate the path from genetic association to biological understanding and potential clinical applications.
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