Prediction of genome-wide effects of single nucleotide variants on transcription factor binding

Sebastian publishes manuscript in Scientific Reports where we predict gain or loss of binding sites for 741 transcription factors (TFs) across the human genome. We found that functional cis-eQTL SNVs are more likely to alter TF binding sites than rare SNVs in the human population. In addition, we show that cancer somatic mutations have different effects on TF binding sites from different TF families on a cancer-type basis. Altogether, we provide a blueprint to study the impact of SNVs derived from genetic variation or disease association on TF binding to gene regulatory regions. Check out our paper: DOI: 10.1038/s41598-020-74793-4