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Whole-genome sequencing of glioblastoma reveals enrichment of non-coding constraint mutations in known and novel genes

Sakthikumar, Sharadha (author)
Uppsala universitet,Institutionen för medicinsk biokemi och mikrobiologi,Science for Life Laboratory, SciLifeLab,Broad Institute, Cambridge, MA, 02142, USA
Roy, Ananya (author)
Uppsala universitet,Neuroonkologi,Science for Life Laboratory, SciLifeLab,Broad Institute, Cambridge, Massachusetts, USA
Haseeb, Lulu (author)
Uppsala universitet,Science for Life Laboratory, SciLifeLab,Neuroonkologi
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Pettersson, Mats E. (author)
Uppsala universitet,Institutionen för medicinsk biokemi och mikrobiologi,Science for Life Laboratory, SciLifeLab
Sundström, Elisabeth (author)
Uppsala universitet,Institutionen för medicinsk biokemi och mikrobiologi,Science for Life Laboratory, SciLifeLab
Marinescu, Voichita D. (author)
Uppsala universitet,Institutionen för medicinsk biokemi och mikrobiologi,Science for Life Laboratory, SciLifeLab
Lindblad-Toh, Kerstin (author)
Uppsala universitet,Institutionen för medicinsk biokemi och mikrobiologi,Science for Life Laboratory, SciLifeLab,Broad Institute, Cambridge, Massachusetts, USA
Forsberg Nilsson, Karin, 1963- (author)
Uppsala universitet,Science for Life Laboratory, SciLifeLab,Neuroonkologi
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 (creator_code:org_t)
2020-06-09
2020
English.
In: Genome Biology. - : Springer Science and Business Media LLC. - 1465-6906 .- 1474-760X. ; 21:1
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • BackgroundGlioblastoma (GBM) has one of the worst 5-year survival rates of all cancers. While genomic studies of the disease have been performed, alterations in the non-coding regulatory regions of GBM have largely remained unexplored. We apply whole-genome sequencing (WGS) to identify non-coding mutations, with regulatory potential in GBM, under the hypothesis that regions of evolutionary constraint are likely to be functional, and somatic mutations are likely more damaging than in unconstrained regions.ResultsWe validate our GBM cohort, finding similar copy number aberrations and mutated genes based on coding mutations as previous studies. Performing analysis on non-coding constraint mutations and their position relative to nearby genes, we find a significant enrichment of non-coding constraint mutations in the neighborhood of 78 genes that have previously been implicated in GBM. Among them, SEMA3C and DYNC1I1 show the highest frequencies of alterations, with multiple mutations overlapping transcription factor binding sites. We find that a non-coding constraint mutation in the SEMA3C promoter reduces the DNA binding capacity of the region. We also identify 1776 other genes enriched for non-coding constraint mutations with likely regulatory potential, providing additional candidate GBM genes. The mutations in the top four genes, DLX5, DLX6, FOXA1, and ISL1, are distributed over promoters, UTRs, and multiple transcription factor binding sites.ConclusionsThese results suggest that non-coding constraint mutations could play an essential role in GBM, underscoring the need to connect non-coding genomic variation to biological function and disease pathology.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cancer and Oncology (hsv//eng)

Keyword

Glioblastoma
Cancer
Non-coding constraint
Gene regulation
Medicinsk genetik
Medical Genetics
Bioinformatics
Bioinformatik
Biology with specialization in Evolutionary Genetics
Biologi med inriktning mot evolutionär genetik

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