Use the FLAMES framework for gene prioritization in GWAS loci.
The FLAMES framework predicts the most likely effector gene in a locus. It integrates machine learning with biological data linking single nucleotide polymorphisms (SNPs) to genes, and GWAS-wide convergence of gene interactions.
For details and the software, please visit the FLAMES GitHub page and read the preprint by Schipper et al. (2023) on medRxiv.
