A novel class of non-coding variants driving DNA double-strand breaks is associated with complex genetic diseases
Auber, S.; Collins, S.; Buyan, A.; Aiusheeva, A.; Finoux, A.-L.; Saur, F.; Cohen, S.; Rocher, V.; Arnould, C.; Verbanck, M.; Kulakovskiy, I. V.; Legube, G.; Mourad, R.
Show abstract
Previous research efforts to map the genetic determinants of complex diseases genome-wide have identified genetic variants that act at the protein level by disrupting function, or at the regulatory level by affecting gene expression. However, for most mutations, the underlying molecular mechanisms remain unknown. In addition to protein function and gene expression level, complex diseases have previously been associated with DNA double-strand breaks (DSBs), particularly in the case of cancer, immune disorders, and neurological and psychiatric diseases. Such DSBs have the potential to regulate or interfere with transcription, replication, and genome maintenance. However, no mutations that alter the occurrence of DSBs have yet been reported. By mapping genome-wide SNPs that alter the binding of DNA repair proteins, we discovered a new class of non-coding SNPs that we named dsbSNPs and which modulate DSB frequency. Importantly, while some DSBs occur in transcribed chromatin, transcription does not seem to have a causal effect on DSBs. Instead, dsbSNPs can influence the selection of the repair pathway depending on whether they alter transcription factor binding or not, thereby potentially controlling the mutation rate in the vicinity of DSBs. dsbSNPs showed high enrichment for GWAS top associations, twice as high as for eSNPs. Such associations support a novel mechanism by which non-coding variants altering DSB formation may play a role in complex genetic diseases.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Prioritization of autoimmune disease-associated genetic variants that perturb regulatory element activity in T cells 96%
- Systematic assessment of regulatory effects of human disease variants in pluripotent cells 96%
- Linking candidate causal autoimmune variants to T cell networks using genetic and epigenetic screens in primary human T cells. 95%
Similar papers in this journal
- Trans-eQTL mapping in gene sets identifies network effects of genetic variants 96%
- Long-read sequencing of diagnosis and post-therapy medulloblastoma reveals complex rearrangement patterns and epigenetic signatures 96%
- Comprehensive locus-specific L1 DNA methylation profiling reveals the epigenetic and transcriptional interplay between L1s and their integration sites. 96%
Similar papers in this journal
- Comprehensive analyses of partially methylated domains and differentially methylated regions in esophageal cancer reveal both cell-type- and cancer-specific epigenetic regulation 96%
- Enhancer regulatory networks globally connect non-coding breast cancer loci to cancer genes 96%
- Genetic effects of sequence-conserved enhancer-like elements on human complex traits 96%
Similar papers in this journal
- Functional buffering via cell-specific gene expression promotes tissue homeostasis and cancer robustness 96%
- Deciphering the role of histone modifications in memory and exhausted CD8 T cells 94%
- Fast Fourier Transform is a training-free, ultrafast, highly efficient, and fully interpretable approach for epigenomic data compression 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.