RT Journal Article
SR Electronic
T1 FUMA: Functional mapping and annotation of genetic associations
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 110023
DO 10.1101/110023
A1 Watanabe, Kyoko
A1 Taskesen, Erdogan
A1 Arjen van, Bochoven
A1 Arjen van, Bochoven
A1 Posthuma, Danielle
YR 2017
UL http://biorxiv.org/content/early/2017/02/20/110023.abstract
AB A main challenge in genome-wide association studies (GWAS) is to prioritize genetic variants and identify potential causal mechanisms of human diseases. Although multiple bioinformatics resources are available for functional annotation and prioritization, a standard, integrative approach is lacking. We developed FUMA: a web-based platform to facilitate functional annotation of GWAS results, prioritization of genes and interactive visualization of annotated results by incorporating information from multiple state-of-the-art biological databases.