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◇ medRxiv2026-09-04· genetic and genomic medicine

Cell-type-resolved somatic variant discovery from bulk long-read sequencing

Y. Fu, C. Morley, L. M. Masters, A. C. English, Y. Zhu, A. G. Moller, L. F. Paulin, B. Thompson, E. Kalef-Ezra, G. Weissenberger, H. Shen, M. Meridith, A. Manini, D. Horner, X. Reed, D. Muzny, Z. Jaunmuktane, Z. M. Khan, H. Mehta, W. Timp, K. Billingsley, G. S. Erwin, C. Proukakis, F. J. Sedlazeck

原始摘要(英文原文)· Original abstract
Somatic mutations arise throughout life, with functional consequences tied to the cell populations in which they occur. Genome-wide studies measure somatic variations in bulk tissue, whereas single-cell approaches resolve cell identity but provide limited sensitivity for complex alleles. Here we developed SniffCell, which uses DNA methylation carried on native long reads to assign somatic variant-supporting molecules to methylation-resolvable cell types. SniffCell builds cell-type-discriminatory methylation signatures across eight tissues, assigns long reads to cell types, and provides cell-type-specific variant calling. Across peripheral blood mononuclear cells and brain benchmarks, SniffCell recovered sorted cell identities and validated cell-type-specific variant assignments using purified immune-cell, neuronal, and oligodendrocyte fractions. In blood, SniffCell recovered lineage-restricted antigen receptor rearrangements and localized a somatic tandem-repeat expansion to T cells. In the frontal cortex, SniffCell identified recurrent neuron-specific tandem-repeat expansions in genes including FGF14, LRRC7 and SH3RF3. Across three brain cohorts comprising 172 donors, recurrent neuron-associated expansions were enriched for GAA-rich motifs. In donors with matched blood, and diverged more strongly from the inherited repeat length, whereas oligodendrocyte-associated alleles more often tracked it. SniffCell transforms native bulk long-read genomes into a cell-type-aware resource for somatic variant discovery and reveals recurrent somatic instability in human tissues at cell-type resolution.
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