A personalized multi-platform assessment of somatic mosaicism in the human frontal cortex
Zhou, W.; Mumm, C.; Gan, Y.; Switzenberg, J. A.; Wang, J.; De Oliveira, P.; Kathuria, K.; Losh, S. J.; McDonald, T. L.; Bessell, B.; Van Deynze, K.; McConnell, M. J.; Boyle, A. P.; Mills, R. E.
Show abstract
Somatic mutations in individual cells create genomic mosaicism, influencing genetic disorders and cancers. While clonal mutations in cancers are well-studied, rarer somatic variants in normal tissues remain poorly characterized. This study systematically evaluates detection methods using a personalized donor-specific assembly (DSA) from a neurotypical individuals dorsolateral prefrontal cortex assessed with Oxford Nanopore, NovaSeq, linked-read sequencing, Cas9-targeted long-read sequencing (TEnCATS), and single-neuron MALBAC amplification. The haplotype-resolved DSA improved cross-platform analysis, dramatically increasing phasing rates. Germline SNVs, structural variations (SVs), and transposable elements (TEs) were recalled with 99.4%-99.7% accuracy in bulk tissue, and phased haplotype analysis reduced false positives by 15.4%-75.1% for putative somatic candidates. Long-read single-neuron sequencing detected nine somatic SV candidates, demonstrating enhanced sensitivity for rare variants, while TEnCATS identified eight low-frequency somatic TE candidates. These findings highlight advanced methodologies for precise somatic variant detection, critical for understanding mosaicisms role in health and disease.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- DEMINERS enables clinical metagenomics and comparative transcriptomic analysis by increasing throughput and accuracy of nanopore direct RNA sequencing 97%
- False gene and chromosome losses affected by assembly and sequence errors 96%
- Enhancer regulatory networks globally connect non-coding breast cancer loci to cancer genes 96%
Similar papers in this journal
- Targeted profiling of human extrachromosomal DNA by CRISPR-CATCH 97%
- Linking candidate causal autoimmune variants to T cell networks using genetic and epigenetic screens in primary human T cells. 97%
- Genotyping sequence-resolved copy number variationusing pangenomes reveals paralog-specific global diversityand expression divergence of duplicated genes 97%
Similar papers in this journal
Similar papers in this journal
- Prioritization of enhancer mutations by combining allele-specific chromatin accessibility with deep learning 97%
- Comprehensive analysis of structural variants in breast cancer genomes using single molecule sequencing 96%
- A comprehensive catalog of 3D genome organization in diverse human genomes facilitates understanding of the impact of structural variation on chromatin structure 96%
"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.