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The regulatory and functional aspects in non-coding regions may be an important contributor to oncogenesis. Whole-genome tumor-normal paired alignments were used to examine the non-coding regions in five cancer types and two races. Both a sliding window and a binning strategy were introduced to uncover areas of higher than expected variation for additional study. We show that the majority of cancer associated mutations in 154 whole-genome sequences covering breast invasive carcinoma, colon adenocarcinoma, kidney renal papillary cell carcinoma, lung adenocarcinoma and uterine corpus endometrial carcinoma cancers and two races are found outside of the coding region (4\u00a0432\u00a0885 in non-gene regions versus 1\u00a0412\u00a0731 in gene regions). A pan-cancer analysis found significantly mutated windows (292 to 3881 in count) demonstrating that there are significant numbers of large mutated regions in the non-coding genome. The 59 significantly mutated windows were found in all studied races and cancers. These offer 16 regions ripe for additional study within 12 different chromosomes\u20142, 4, 5, 7, 10, 11, 16, 18, 20, 21 and X. Many of these regions were found in centromeric locations. The X chromosome had the largest set of universal windows that cluster almost exclusively in Xq11.1\u2014an area linked to chromosomal instability and oncogenesis. Large consecutive clusters (super windows) were found (19 to 114 in count) providing further evidence that large mutated regions in the genome are influencing cancer development. We show remarkable similarity in highly mutated non-coding regions across both cancer and race.<\/jats:p>","DOI":"10.1093\/bib\/bbaa203","type":"journal-article","created":{"date-parts":[[2020,8,13]],"date-time":"2020-08-13T11:20:43Z","timestamp":1597317643000},"source":"Crossref","is-referenced-by-count":2,"title":["Scanning window analysis of non-coding regions within normal-tumor whole-genome sequence samples"],"prefix":"10.1093","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9307-5778","authenticated-orcid":false,"given":"J P","family":"Torcivia","sequence":"first","affiliation":[{"name":"The Department of Biochemistry and Molecular Medicine, The George Washington University Medical Center, Washington, DC, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"R","family":"Mazumder","sequence":"additional","affiliation":[{"name":"The Department of Biochemistry and Molecular Medicine, The George Washington University Medical Center, Washington, DC, USA"},{"name":"McCormick Genomic and Proteomic Center, The George Washington University, Washington, DC, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2020,9,17]]},"reference":[{"key":"2021052110413379300_ref1","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1016\/j.plantsci.2010.07.019","article-title":"High throughput DNA sequencing: the new sequencing revolution","volume":"179","author":"Delseny","year":"2010","journal-title":"Plant Sci"},{"key":"2021052110413379300_ref2","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1016\/j.cell.2013.09.006","article-title":"The next-generation sequencing revolution and its impact on genomics","volume":"155","author":"Koboldt","year":"2013","journal-title":"Cell"},{"key":"2021052110413379300_ref3","doi-asserted-by":"crossref","first-page":"5294","DOI":"10.1073\/pnas.1221376110","article-title":"Is junk DNA bunk? 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