Nature Communications (Nov 2017)

Functional mapping and annotation of genetic associations with FUMA

  • Kyoko Watanabe,
  • Erdogan Taskesen,
  • Arjen van Bochoven,
  • Danielle Posthuma

DOI
https://doi.org/10.1038/s41467-017-01261-5
Journal volume & issue
Vol. 8, no. 1
pp. 1 – 11

Abstract

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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.