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Lookup NU author(s): Dr Paul Brennan
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2024 The Author(s)Detection of structural variants (SVs) is currently biased toward those that alter copy number. The relative contribution of inversions toward genetic disease is unclear. In this study, we analyzed genome sequencing data for 33,924 families with rare disease from the 100,000 Genomes Project. From a database hosting >500 million SVs, we focused on 351 genes where haploinsufficiency is a confirmed disease mechanism and identified 47 ultra-rare rearrangements that included an inversion (24 bp to 36.4 Mb, 20/47 de novo). Validation utilized a number of orthogonal approaches, including retrospective exome analysis. RNA-seq data supported the respective diagnoses for six participants. Phenotypic blending was apparent in four probands. Diagnostic odysseys were a common theme (>50 years for one individual), and targeted analysis for the specific gene had already been performed for 30% of these individuals but with no findings. We provide formal confirmation of a European founder origin for an intragenic MSH2 inversion. For two individuals with complex SVs involving the MECP2 mutational hotspot, ambiguous SV structures were resolved using long-read sequencing, influencing clinical interpretation. A de novo inversion of HOXD11-13 was uncovered in a family with Kantaputra-type mesomelic dysplasia. Lastly, a complex translocation disrupting APC and involving nine rearranged segments confirmed a clinical diagnosis for three family members and resolved a conundrum for a sibling with a single polyp. Overall, inversions play a small but notable role in rare disease, likely explaining the etiology in around 1/750 families across heterogeneous clinical cohorts.
Author(s): Pagnamenta AT, Yu J, Walker S, Noble AJ, Lord J, Dutta P, Hashim M, Camps C, Green H, Devaiah S, Nashef L, Parr J, Fratter C, Ibnouf Hussein R, Lindsay SJ, Lalloo F, Banos-Pinero B, Evans D, Mallin L, Waite A, Evans J, Newman A, Allen Z, Perez-Becerril C, Ryan G, Hart R, Taylor J, Bedenham T, Clement E, Blair E, Hay E, Forzano F, Higgs J, Canham N, Majumdar A, McEntagart M, Lahiri N, Stewart H, Smithson S, Calpena E, Jackson A, Banka S, Titheradge H, McGowan R, Rankin J, Shaw-Smith C, Evans DG, Burghel GJ, Smith MJ, Anderson E, Madhu R, Firth H, Ellard S, Brennan P, Anderson C, Taupin D, Rogers MT, Cook JA, Durkie M, East JE, Fowler D, Wilson L, Igbokwe R, Gardham A, Tomlinson I, Baralle D, Uhlig HH, Taylor JC
Publication type: Article
Publication status: Published
Journal: American Journal of Human Genetics
Year: 2024
Volume: 111
Issue: 6
Pages: 1140-1164
Print publication date: 06/06/2024
Online publication date: 21/05/2024
Acceptance date: 24/05/2024
Date deposited: 15/07/2024
ISSN (print): 0002-9297
ISSN (electronic): 1537-6605
Publisher: Cell Press
URL: https://doi.org/10.1016/j.ajhg.2024.04.018
DOI: 10.1016/j.ajhg.2024.04.018
Data Access Statement: Illumina and PacBio (HiFi) genome sequencing and RNAseq data relating to this study are held in the National Genomic Research Library (https://doi.org/10.6084/m9. figshare.4530893.v7). Details of how to access these data are available at www.genomicsengland.co.uk/research/ academic/join-gecip. Access is currently provided via Amazon WorkSpaces. For academic researchers, host institutions also need to sign a formal agreement. SVRare code is available on github (see web resources).
PubMed id: 38776926
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