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Abstract
Understanding the function of rare non-coding variants represents a significant challenge. Using MapUTR, a screening method, we studied the function of rare 3′ UTR variants affecting mRNA abundance post-transcriptionally. Among 17,301 rare gnomAD variants, an average of 24.5% were functional, with 70% in cancer-related genes, many in critical cancer pathways. This observation motivated an interrogation of 11,929 somatic mutations, uncovering 3928 (33%) functional mutations in 155 cancer driver genes. Functional MapUTR variants were enriched in microRNA- or protein-binding sites and may underlie outlier gene expression in tumors. Further, we introduce untranslated tumor mutational burden (uTMB), a metric reflecting the amount of somatic functional MapUTR variants of a tumor and show its potential in predicting patient survival. Through prime editing, we characterized three variants in cancer-relevant genes (MFN2, FOSL2, and IRAK1), demonstrating their cancer-driving potential. Our study elucidates the function of tens of thousands of non-coding variants, nominates non-coding cancer driver mutations, and demonstrates their potential contributions to cancer.
The function of rare non-coding variants remains challenging to decipher. Here, the authors developed MapUTR to uncover 10,524 functional rare 3’ UTR variants regulating mRNA abundance, many of which reside in cancer driver genes.
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1 University of California, Los Angeles, Molecular, Cellular and Integrative Physiology Interdepartmental Program, Los Angeles, USA (GRID:grid.19006.3e) (ISNI:0000 0000 9632 6718); University of California, Los Angeles, Department of Integrative Biology and Physiology, Los Angeles, USA (GRID:grid.19006.3e) (ISNI:0000 0000 9632 6718)
2 University of California, Los Angeles, Department of Integrative Biology and Physiology, Los Angeles, USA (GRID:grid.19006.3e) (ISNI:0000 0000 9632 6718); University of California, Los Angeles, Bioinformatics Interdepartmental Program, Los Angeles, USA (GRID:grid.19006.3e) (ISNI:0000 0000 9632 6718)
3 University of California, Los Angeles, Department of Integrative Biology and Physiology, Los Angeles, USA (GRID:grid.19006.3e) (ISNI:0000 0000 9632 6718)
4 University of California, Los Angeles, Department of Integrative Biology and Physiology, Los Angeles, USA (GRID:grid.19006.3e) (ISNI:0000 0000 9632 6718); Kyung Hee University, Department of Life and Nanopharmaceutical Sciences & Oral Microbiology, School of Dentistry, Seoul, South Korea (GRID:grid.289247.2) (ISNI:0000 0001 2171 7818)
5 University of California, Los Angeles, Department of Integrative Biology and Physiology, Los Angeles, USA (GRID:grid.19006.3e) (ISNI:0000 0000 9632 6718); University of California, Los Angeles, Molecular Biology Interdepartmental Program, Los Angeles, USA (GRID:grid.19006.3e) (ISNI:0000 0000 9632 6718)
6 University of California, Los Angeles, Department of Chemistry and Biochemistry, Los Angeles, USA (GRID:grid.19006.3e) (ISNI:0000 0000 9632 6718)
7 University of California, Los Angeles, Molecular, Cellular and Integrative Physiology Interdepartmental Program, Los Angeles, USA (GRID:grid.19006.3e) (ISNI:0000 0000 9632 6718); University of California, Los Angeles, Department of Integrative Biology and Physiology, Los Angeles, USA (GRID:grid.19006.3e) (ISNI:0000 0000 9632 6718); University of California, Los Angeles, Bioinformatics Interdepartmental Program, Los Angeles, USA (GRID:grid.19006.3e) (ISNI:0000 0000 9632 6718); University of California, Los Angeles, Molecular Biology Interdepartmental Program, Los Angeles, USA (GRID:grid.19006.3e) (ISNI:0000 0000 9632 6718); University of California, Los Angeles, Jonsson Comprehensive Cancer Center, Los Angeles, USA (GRID:grid.19006.3e) (ISNI:0000 0000 9632 6718)