Rare k-mers reveal centromere haplogroups underlying human diversity and cancer translocations
Shiraishi, Y.; Ochi, Y.; Sugawa, M.; Sakamoto, Y.; Kimura, K.; Tsujimura, T.; Okada, A.; Okuda, R.; Namba, S.; Miyauchi, T.; Mateos, R. N.; Suzuki, H.; Chiba, K.; Ito, Y.; Nakamura, W.; Ohka, F.; Motomura, K.; Yamamoto, T.; Kawai, Y.; Okada, Y.; Suzuki, H.; Kato, M.; Saito, R.; Garrison, E.; Logsdon, G. A.; Ogawa, S.
Show abstract
Centromeres are among the most diverse and dynamically evolving regions of the human genome and are commonly affected in various human cancers. However, organized into highly repetitive -satellite higher-order repeats (HORs), human centromere sequences have long resisted detailed genomic analysis. Although the development of long-read sequencing platforms has enabled the analysis of complete centromere sequences, their application to a large set of samples is still largely limited, preventing our understanding of centromere variation and haplotype structures across large human populations and the structural basis of centromere-involving translocations in cancer. Here we show that rare k-mers present in centromeric regions can serve as effective markers for dissecting the complexity of centromere structure, particularly that of active -satellite HOR arrays (aHOR arrays), across human populations and for understanding centromere-involving abnormalities in cancer. Based on rare k-mer-based clustering, centromere aHOR arrays are clustered into discrete haplogroups (aHOR-HGs) with distinct structural features. These k-mers were also used to develop a framework that enables the inference of haplogroups in a given sample based on short-read whole genome sequencing (WGS) data (ascairn). By applying ascairn to large-scale human population datasets (n > 3,300), we revealed the diversity of aHOR-HGs and their geographic histories across populations. The rare k-mer-based approach was also applied to investigate the structure of 1p/19q co-deletion, a highly recurrent centromere-involving translocation in IDH-mutated oligodendrogliomas. Analyzing short-read WGS data from 142 cases with 1p/19q co-deletion using rare k-mers, we showed that breakpoints of 1p/19q co-deletion were mapped to aHOR arrays in chromosomes 1 (D1Z7) and 19 (D19Z3), which was validated by long-read sequencing of two 1p/19q co-deletion-positive cases. Notably, the translocation preferentially involved haplogroups composed of haplotypes containing larger regions susceptible to rearrangement. These results highlight the role of rare k-mers in dissecting the complexity of centromere sequences and their evolutionary history as well as understanding centromere-involving abnormalities associated with human diseases.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Impact and characterization of serial structural variations across humans and great apes 97%
- CiFi: Accurate long-read chromosome conformation capture with low-input requirements 96%
- TAD Evolutionary and functional characterization reveals diversity in mammalian TAD boundary properties and function 96%
Similar papers in this journal
- Gaps and complex structurally variant loci in phased genome assemblies 97%
- Prioritization of enhancer mutations by combining allele-specific chromatin accessibility with deep learning 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 in this journal
- Genotyping sequence-resolved copy number variationusing pangenomes reveals paralog-specific global diversityand expression divergence of duplicated genes 97%
- Targeted profiling of human extrachromosomal DNA by CRISPR-CATCH 97%
- Sequence-based modeling of genome 3D architecture from kilobase to chromosome-scale 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.