Gene Relationships Across Implicated Loci

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Gene Relationships Across Implicated Loci (GRAIL) is a free web application developed by Soumya Raychaudhuri at the Broad Institute with the goal of determining the relationships among genes in different disease associated loci through statistical analysis.[1]

Mode of operation

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When single-nucleotide polymorphisms (SNPs) are identified through a genome-wide association study (GWAS) as being possibly linked to a human disease, GRAIL works by comparing those with SNPs already identified in the scientific literature as being tied to the disease (using a text-mining algorithm going through PubMed abstracts),[1] and determines the degree of functional connectivity among the associated genes. SNPs identified with this method have been shown to be replicated in independent sets at a much higher probability than randomly selected ones.[2] GRAIL has also demonstrated better performance than other published algorithms.[3]

However, the software is still in its Beta phase, and has shown varied levels of success depending on the phenotype in question.[3]

References

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