Functional mapping and annotation of genetic associations with FUMA
Amsterdam UMC Location Vrije Universiteit Amsterdam · Vrije Universiteit Amsterdam · +2 more institutions
Abstract
A main challenge in genome-wide association studies (GWAS) is to pinpoint possible causal variants. Results from GWAS typically do not directly translate into causal variants because the majority of hits are in non-coding or intergenic regions, and the presence of linkage disequilibrium leads to effects being statistically spread out across multiple variants. Post-GWAS annotation facilitates the selection of most likely causal variant(s). Multiple resources are available for post-GWAS annotation, yet these can be time consuming and do not provide integrated visual aids for data interpretation. We, therefore, develop FUMA: an integrative web-based platform using information from multiple biological resources to…
Citation impact
- FWCI
- 166.11
- Percentile
- 100%
- References
- 66
Authors
4Topics & keywords
- Genome-wide association study
- Annotation
- Expression quantitative trait loci
- Linkage disequilibrium
- Genetic association
- Computational biology
- Biology
- Computer science