Biological interpretation of genome-wide association studies using predicted gene functions
Boston Children's Hospital · University Medical Center Groningen · +11 more institutions
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. Identifying which genes and pathways explain genetic associations is challenging. Here, the authors present DEPICT, a tool for gene prioritization, pathway analysis and tissue/cell-type…
Citation impact
- FWCI
- 66.37
- Percentile
- 100%
- References
- 40
Authors
17Topics & keywords
- Gene
- Biology
- Computational biology
- Genome-wide association study
- Genetics
- Phenotype
- Genetic association
- Genome
Funding
- NONederlandse Organisatie voor Wetenschappelijk OnderzoekAward: FP7/2007-2013
- DFDanmarks Frie Forskningsfond
- ABAlfred Benzon Foundation
- NINational Institutes of HealthAward: FP7/2007-2013
- MRMedical Research CouncilAwards: MR/K013351/1, MR/K006584/1, MR/N01104X/1
- NINational Institute of Diabetes and Digestive and Kidney DiseasesAward: 2R01DK075787
- NINational Institute of Child Health and Human Development
- EKEunice Kennedy Shriver National Institute of Child Health and Human Development