2017
DOI: 10.1038/s41467-017-00100-x
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Identifying DNase I hypersensitive sites as driver distal regulatory elements in breast cancer

Abstract: Efforts to identify driver mutations in cancer have largely focused on genes, whereas non-coding sequences remain relatively unexplored. Here we develop a statistical method based on characteristics known to influence local mutation rate and a series of enrichment filters in order to identify distal regulatory elements harboring putative driver mutations in breast cancer. We identify ten DNase I hypersensitive sites that are significantly mutated in breast cancers and associated with the aberrant expression of… Show more

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Cited by 23 publications
(17 citation statements)
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“…The whole genome was divided into 200-bp bins and the bins with similar sequence characteristics (and thus similar mutation rates) were clustered together using four covariates (D’Antonio et al, 2017; Lawrence et al, 2013): 1) DNA replication timing; 2) open vs. closed chromatin status; 3) guanine and cytosine (GC) content; and 4) gene density in the 500 kb surrounding each bin. The values of all covariates were normalized to have mean = 0 and standard deviation = 1.…”
Section: Methodsmentioning
confidence: 99%
“…The whole genome was divided into 200-bp bins and the bins with similar sequence characteristics (and thus similar mutation rates) were clustered together using four covariates (D’Antonio et al, 2017; Lawrence et al, 2013): 1) DNA replication timing; 2) open vs. closed chromatin status; 3) guanine and cytosine (GC) content; and 4) gene density in the 500 kb surrounding each bin. The values of all covariates were normalized to have mean = 0 and standard deviation = 1.…”
Section: Methodsmentioning
confidence: 99%
“…There are two major DNase families, DNase I and DNase II, and multiple enzymes in each family play diverse roles in the development of various diseases 16 . Among these nucleases, DNase I has the widest description in DNase I family, 16 and the activity of DNase I has been reported to relate to the occurrence of systemic diseases (like systemic lupus erythematosus), 17‐20 different organ cancers, 21‐23 and inflammatory disease 24,25 . Previous study have confirmed that DNase I‐dependent NETs degradation was an important treatment for diabetic skin wound 15 .…”
Section: Introductionmentioning
confidence: 92%
“…Gene expression profiles from hundreds of patient samples have allowed the identification of several PDA subtypes, with implications for treatment response and patient outcome 510 . Gene expression can be dysregulated in cancer through a variety of mechanisms, including genomic amplification/deletion, epigenetic modification and noncoding mutations in promoters/enhancers 1115 . For example, recurrent noncoding mutations in PDA are enriched in promoters of cancer-associated genes and pathways 16 .…”
Section: Introductionmentioning
confidence: 99%