Functional mapping and annotation of genetic associations with FUMA
Prioritizing genetic variants is a major challenge in genome-wide association studies. Here, the authors develop FUMA, a web-based bioinformatics tool that uses a combination of positional, eQTL and chromatin interaction mapping to prioritize likely causal variants and genes.
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2017-11-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-017-01261-5 |