Richards Effector Gene List
The Richards Effector Gene List (REGL) provides the results of the Effector Index (Ei), a machine-learning method that prioritizes the likely causal (effector) target genes at genome-wide association study (GWAS) loci. Developed by the Richards Lab at McGill University, the Ei was trained and validated against positive-control gene sets derived from Mendelian disease genes and approved drug targets across 12 common diseases and quantitative traits, using genomic features such as coding or transcript-altering variants, distance to gene, and open-chromatin-based metrics. It is integrated into the NCATS Biomedical Data Translator as a source for linking genetic association signals to their probable effector genes.
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