
Oncotarget
Blog: Predicting Functions of Cancer-Associated Genetic Variants
Sep 7, 2023
The podcast discusses the role of genetic variations in cancer development and treatment, focusing on predicting the molecular functions of cancer-associated genetic variants. It explores recent advances in identifying and characterizing these variants and proposes a framework for prediction based on genomic context and epigenetic marks. The podcast also delves into the interaction between MITF and MYC genes in melanocyte biology and cancer, and the use of computational models to predict TF binding sites and gene expression.
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Quick takeaways
- The editorial proposes a framework for predicting the molecular functions of genetic variants that affect gene regulation based on their genomic context, epigenetic marks, chromatin accessibility, and three-dimensional interactions.
- The study on MITF and MYC proteins reveals their distinct preferences for E-box variants and overlapping binding sites, providing new insights into their roles in melanocyte biology and cancer.
Deep dives
Understanding the Role of Genetic Variations in Cancer Development
One of the most challenging questions in biology and medicine is understanding the role of genetic variations in cancer development and treatment. Jun S. Song and Mohit Munginov from the University of Illinois at Urbana-Champaign propose a novel discussion involving computational methods to address this question. In their editorial published in OncoTarget, they review recent advances in identifying and characterizing the functional effects of genetic variants that affect gene regulation. They propose a framework for predicting the molecular functions of these variants based on their genomic context, epigenetic marks, chromatin accessibility, and three-dimensional interactions.
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