bioRxivGenomicsPreprint
Large-scale correlations between eight key double strand break related data sets over the whole human genome
Anders BrahmeiD, Maj A. HulténiD, Carin Bengtsson, Andreas Hultgren, Anders Zetterberg
Abstract
Eight different data sets, covering the whole human genome are compared with regard to their genomic distribution. A close correlation between cytological detected chiasma and MLH1 immunofluorescence sites with the recombination density distribution from the HapMap project was found. Sites with a high probability of chromatid breakage after exposure to low and high ionization density radiations are often located inside common and rare Fragile Sites (FSs) indicating that the common Radiation-Induced Breakpoint sites (RIBs) may be a new kind of more local fragility. Furthermore, Oncogenes and other cancer-related genes are commonly located in regions with an increased probability of rearrangements during genomic recombination, or in regions with high probability of copy number changes, possibly since these processes may be involved in oncogene activation and cancer induction. An increased CpG density is linked to regions of high gene density to secure high fidelity reproduction and survival. To minimize cancer induction these genes are often located in regions of decreased recombination density and/or higher than average CpG density. Interestingly, copy number changes occur predominantly at common RIBs and/or FSs at least for breast cancers with poor prognosis and they decrease weakly but significantly in regions with increasing recombination density and CpG density. It is compelling that all these datasets are influenced by the cells handling of double strand breaks and more generally DNA damage on its genome. In fact, the DNA repair genes are systematically avoiding regions with a high recombination density. This may be a consequence of natural selection, as they need to be intact to accurately handle repairable DNA lesions.
- organism: human
- assay: DNA methylation
- assay: whole-genome sequencing
- research focus: gene regulatory network inference
- research focus: differential expression
- research focus: GWAS / association mapping
- research focus: variant effect prediction
- approach: statistical model
- Citations
- 0
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Selective and mechanistic sources of recurrent rearrangements across the cancer genome
Jeremiah A Wala, Ofer Shapira, … on behalf of the PCAWG-Structural Variation Working Group and the PCAWG Network.·bioRxiv·Sep 14, 2017
- An integrated genome-wide resource reveals distinct replication environments of DNA breakage in human cancer cell lines
Boyu Ding, Li-Chin Wang, … Pei‐Chi Wei·bioRxiv·Sep 15, 2026
- The multiscale distribution of radiation-induced DNA damage and its impact on local genome structure
Heng Li, Tianchun Xue, Rachel Patton McCord·bioRxiv·Aug 25, 2025
- Break-induced replication drives large-scale genomic amplifications in cancer cells
Mouadh Benamar, Rebeka Eki, … Tarek Abbas·bioRxiv·Aug 27, 2024
- A comprehensive genetic catalog of human double-strand break repair
Ernesto López de Alba, Israel Salguero, … Felipe Cortés‐Ledesma·SciencePeer-reviewed·Oct 2, 2025
- DNA replication initiation drives focal mutagenesis and rearrangements in human cancers
Pierre Murat, Guillaume Guilbaud, Julian E. Sale·Nature CommunicationsPeer-reviewed·Dec 30, 2024