[HTML][HTML] Biological interpretation of genome-wide association studies using predicted gene functions
Nature communications, 2015•nature.com
The main challenge for gaining biological insights from genetic associations is identifying
which genes and pathways explain the associations. Here we present DEPICT, an
integrative tool that employs predicted gene functions to systematically prioritize the most
likely causal genes at associated loci, highlight enriched pathways and identify tissues/cell
types where genes from associated loci are highly expressed. DEPICT is not limited to
genes with established functions and prioritizes relevant gene sets for many phenotypes.
which genes and pathways explain the associations. Here we present DEPICT, an
integrative tool that employs predicted gene functions to systematically prioritize the most
likely causal genes at associated loci, highlight enriched pathways and identify tissues/cell
types where genes from associated loci are highly expressed. DEPICT is not limited to
genes with established functions and prioritizes relevant gene sets for many phenotypes.
Abstract
The main challenge for gaining biological insights from genetic associations is identifying which genes and pathways explain the associations. Here we present DEPICT, an integrative tool that employs predicted gene functions to systematically prioritize the most likely causal genes at associated loci, highlight enriched pathways and identify tissues/cell types where genes from associated loci are highly expressed. DEPICT is not limited to genes with established functions and prioritizes relevant gene sets for many phenotypes.
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