About FUMA
FUMA is a platform that can be used to annotate, prioritize, visualize and interpret GWAS results.
The SNP2GENE module takes GWAS summary statistics as an input, and provides extensive functional annotation for all SNPs in genomic areas identified by lead SNPs.
The GENE2FUNC module takes a list of gene IDs (as identified by SNP2GENE or as provided manually) and annotates genes in biological context.
The Cell Type module takes MAGMA gene analysis result (as an output from SNP2GENE or as provided manually) and predicts relevant cell types.
To submit your own GWAS, login is required for security reason. If you have not registered yet, you can do so from here.
You can browse public results of FUMA (including example jobs) from Browse Public Results without registration or login.

Please post any questions, suggestions and bug reports on Google Forum: FUMA GWAS users.

Citation
When using FUMA, please cite the following.
K. Watanabe, E. Taskesen, A. van Bochoven and D. Posthuma. Functional mapping and annotation of genetic associations with FUMA. Nat. Commun. 8:1826. (2017).
links https://www.nature.com/articles/s41467-017-01261-5
When using cell type analysis, please cite the following.
K. Watanabe, M. Umicevic Mirkov, C. de Leeuw, M. van den Heuvel and D. Posthuma. Genetic mapping of cell type specificity for complex traits. Nat. Commun. 10:3222. (2019).
https://www.nature.com/articles/s41467-019-11181-1
Depending on which results you are going to report, please also cite the original study of data sources/tools used in FUMA (references are available at links or tutorial for the cell type specificity analysis for scRNA-seq data).

SNP2GENE

GENE2FUNC