Biological interpretation of genome-wide association studies using predicted gene functions.
Nat Commun
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| 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. |
| Year of Publication | 2015
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| Journal | Nat Commun
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| Volume | 6
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| Pages | 5890
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| Date Published | 2015 Jan 19
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| ISSN | 2041-1723
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| URL | |
| DOI | 10.1038/ncomms6890
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| PubMed ID | 25597830
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| PubMed Central ID | PMC4420238
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| Grant list | G1001799 / Medical Research Council / United Kingdom
CZB/4/672 / Chief Scientist Office / United Kingdom
R01 DK075787 / DK / NIDDK NIH HHS / United States
U01 GM092691 / GM / NIGMS NIH HHS / United States
MR/N01104X/1 / Medical Research Council / United Kingdom
Intramural NIH HHS / United States
098395 / Wellcome Trust / United Kingdom
R01 AR063759 / AR / NIAMS NIH HHS / United States
2R01DK075787 / DK / NIDDK NIH HHS / United States
UH2 AR067677 / AR / NIAMS NIH HHS / United States
MR/K006584/1 / Medical Research Council / United Kingdom
MR/K013351/1 / Medical Research Council / United Kingdom
P30 DK020572 / DK / NIDDK NIH HHS / United States
R01 HL117078 / HL / NHLBI NIH HHS / United States
P30 CA071789 / CA / NCI NIH HHS / United States
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