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Zhang, Y.* ; Xu, H.* ; Frishman, D.

Genomic determinants of somatic copy number alterations across human cancers.

Hum. Mol. Genet. 25, 1019-1030 (2016)
Verlagsversion Forschungsdaten DOI PMC
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
Somatic copy number alterations (SCNAs) play an important role in carcinogenesis. However, the impact of genomic architecture on the global patterns of SCNAs in cancer genomes remains elusive. In this work we conducted multiple linear regression (MLR) analyses of the pooled SCNA data from The Cancer Genome Atlas Pan-Cancer project. We performed MLR analyses for 11 individual cancer types and three different kinds of SCNAs - amplifications and deletions, telomere-bound and interstitial SCNAs, and local SCNAs. Our MLR model explains more than 30% of the pooled SCNA breakpoint variation, with the explanatory power ranging from 13% to 32% for different cancer types and SCNA types. In addition to confirming previously identified features (e.g., Long interspersed element-1 (L1) and SINEs) we also identified several novel informative features, including distance to telomere, distance to centromere, and low complexity repeats. The results of the MLR analyses were additionally confirmed on an independent SCNA data set obtained from the COSMIC database. Using a rare event logistic regression model and an extremely randomized tree classifier we revealed that genomic features are informative for defining common SCNA breakpoint hotspots. Our findings shed light on the molecular mechanisms of SCNA generation in cancer.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Korrespondenzautor
Schlagwörter Dna-forming Sequences; Chromosomal Instability; Mammalian-cells; Recombination; Mechanisms; Landscape; Dysfunction; Breakpoint; Deletions; Features
ISSN (print) / ISBN 0964-6906
e-ISSN 1460-2083
Zeitschrift Human Molecular Genetics
Quellenangaben Band: 25, Heft: 5, Seiten: 1019-1030 Artikelnummer: , Supplement: ,
Verlag Oxford University Press
Verlagsort Oxford
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Bioinformatics and Systems Biology (IBIS)