This study presents GROFFFY, a novel bioinformatics tool designed to prioritize functional non-coding variants in whole-genome sequencing (WGS) data by integrating experimentally validated regulatory regions.
American Journal of Human Genetics · 14 authors, 10 centres
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This study presents GROFFFY, a novel bioinformatics tool designed to prioritize functional non-coding variants in whole-genome sequencing (WGS) data by integrating experimentally validated regulatory regions.
This study presents GROFFFY, a novel bioinformatics tool designed to prioritize functional non-coding variants in whole-genome sequencing (WGS) data by integrating experimentally validated regulatory regions. Applied to HHT patient data from the 100,000 Genomes Project, GROFFFY reduced the mean variant count per individual from 4,867,167 to 21,486 without removing known pathogenic variants. Functional validation via RNA-seq in patient-derived peripheral blood mononuclear cells showed altered SMAD4 expression compared to controls, particularly under stress conditions. A limitation is the focus on a single gene for discovery, justified by immediate clinical implications for HHT diagnosis.