TY - JOUR
T1 - Biological interpretation of genome-wide association studies using predicted gene functions
AU - Pers, Tune H.
AU - Karjalainen, Juha M.
AU - Chan, Yingleong
AU - Westra, Harm-Jan
AU - Wood, Andrew R.
AU - Yang, Jian
AU - Lui, Julian C.
AU - Vedantam, Sailaja
AU - Gustafsson, Stefan
AU - Esko, Tonu
AU - Frayling, Tim
AU - Speliotes, Elizabeth K.
AU - Genetic Investigation of ANthropometric Traits (GIANT) Consortium
AU - Boehnke, Michael
AU - Raychaudhuri, Soumya
AU - Fehrmann, Rudolf S. N.
AU - Hirschhorn, Joel N.
AU - Franke, Lude
AU - Palmer, Colin Neil Alexander
PY - 2015/1/19
Y1 - 2015/1/19
N2 - 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.
AB - 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.
U2 - 10.1038/ncomms6890
DO - 10.1038/ncomms6890
M3 - Article
C2 - 25597830
SN - 2041-1723
VL - 6
SP - 1
EP - 9
JO - Nature Communications
JF - Nature Communications
M1 - 5890
ER -