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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.

2024-12-21 genomics
10.1101/2024.12.18.629274 bioRxiv
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.

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