PT  - JOURNAL ARTICLE
AU  - Kyoko Watanabe
AU  - Erdogan Taskesen
AU  - Bochoven Arjen van
AU  - Bochoven Arjen van
AU  - Danielle Posthuma
TI  - FUMA: Functional mapping and annotation of genetic associations
AID  - 10.1101/110023
DP  - 2017 Jan 01
TA  - bioRxiv
PG  - 110023
4099  - http://biorxiv.org/content/early/2017/02/20/110023.short
4100  - http://biorxiv.org/content/early/2017/02/20/110023.full
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.