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Impact and characterization of serial structural variations across humans and great apes.

Authors :
Höps, Wolfram
Rausch, Tobias
Jendrusch, Michael
Human Genome Structural Variation Consortium (HGSVC)
Ashraf, Hufsah
Audano, Peter A.
Austine, Ola
Basile, Anna O.
Beck, Christine R.
Jan Bonder, Marc
Byrska-Bishop, Marta
Chaisson, Mark J. P.
Chong, Zechen
Corvelo, André
Devine, Scott E.
Ebert, Peter
Ebler, Jana
Eichler, Evan E.
Gerstein, Mark B.
Hallast, Pille
Source :
Nature Communications; 9/13/2024, Vol. 15 Issue 1, p1-15, 15p
Publication Year :
2024

Abstract

Modern sequencing technology enables the systematic detection of complex structural variation (SV) across genomes. However, extensive DNA rearrangements arising through a series of mutations, a phenomenon we refer to as serial SV (sSV), remain underexplored, posing a challenge for SV discovery. Here, we present NAHRwhals (https://github.com/WHops/NAHRwhals), a method to infer repeat-mediated series of SVs in long-read genomic assemblies. Applying NAHRwhals to haplotype-resolved human genomes from 28 individuals reveals 37 sSV loci of various length and complexity. These sSVs explain otherwise cryptic variation in medically relevant regions such as the TPSAB1 gene, 8p23.1, 22q11 and Sotos syndrome regions. Comparisons with great ape assemblies indicate that most human sSVs formed recently, after the human-ape split, and involved non-repeat-mediated processes in addition to non-allelic homologous recombination. NAHRwhals reliably discovers and characterizes sSVs at scale and independent of species, uncovering their genomic abundance and suggesting broader implications for disease. Structural variants (SV) can accumulate in repeat-rich parts of the genome and transform them in unexpected ways. Here, with their new assembly-based genotyper (NAHRwhals), the authors verify multi-step SVs in 37 human loci and identify alleles at risk for copy-number variation. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20411723
Volume :
15
Issue :
1
Database :
Complementary Index
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
179604711
Full Text :
https://doi.org/10.1038/s41467-024-52027-9