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Long-read sequencing and structural variant characterization in 1,019 samples from the 1000 Genomes Project.
- Source :
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BioRxiv : the preprint server for biology [bioRxiv] 2024 Apr 20. Date of Electronic Publication: 2024 Apr 20. - Publication Year :
- 2024
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Abstract
- Structural variants (SVs) contribute significantly to human genetic diversity and disease <superscript>1-4</superscript> . Previously, SVs have remained incompletely resolved by population genomics, with short-read sequencing facing limitations in capturing the whole spectrum of SVs at nucleotide resolution <superscript>5-7</superscript> . Here we leveraged nanopore sequencing <superscript>8</superscript> to construct an intermediate coverage resource of 1,019 long-read genomes sampled within 26 human populations from the 1000 Genomes Project. By integrating linear and graph-based approaches for SV analysis via pangenome graph-augmentation, we uncover 167,291 sequence-resolved SVs in these samples, considerably advancing SV characterization compared to population-wide short-read sequencing studies <superscript>3,4</superscript> . Our analysis details diverse SV classes-deletions, duplications, insertions, and inversions-at population-scale. LINE-1 and SVA retrotransposition activities frequently mediate transductions <superscript>9,10</superscript> of unique sequences, with both mobile element classes transducing sequences at either the 3'- or 5'-end, depending on the source element locus. Furthermore, analyses of SV breakpoint junctions suggest a continuum of homology-mediated rearrangement processes are integral to SV formation, and highlight evidence for SV recurrence involving repeat sequences. Our open-access dataset underscores the transformative impact of long-read sequencing in advancing the characterisation of polymorphic genomic architectures, and provides a resource for guiding variant prioritisation in future long-read sequencing-based disease studies.
Details
- Language :
- English
- ISSN :
- 2692-8205
- Database :
- MEDLINE
- Journal :
- BioRxiv : the preprint server for biology
- Accession number :
- 38659906
- Full Text :
- https://doi.org/10.1101/2024.04.18.590093