Biological interpretation of genome-wide association studies using predicted gene functions.

@article{Pers2015BiologicalIO,
  title={Biological interpretation of genome-wide association studies using predicted gene functions.},
  author={Tune H. Pers and Juha M Karjalainen and Yingleong Chan and Harm-Jan Westra and Andrew R Wood and Jian Yang and Julian C Lui and Sailaja L Vedantam and Stefan Gustafsson and T{\"o}nu Esko and Timothy M. Frayling and Elizabeth K. Speliotes and Michael Boehnke and Soumya Raychaudhuri and Rudolf S. N. Fehrmann and Joel Hirschhorn and Lude Franke},
  journal={Nature communications},
  year={2015},
  volume={6},
  pages={
          5890
        }
}
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… CONTINUE READING

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