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. 2023 May;60(5):505-510.
doi: 10.1136/jmg-2022-108753. Epub 2022 Nov 21.

Conclusion of diagnostic odysseys due to inversions disrupting GLI3 and FBN1

Collaborators, Affiliations

Conclusion of diagnostic odysseys due to inversions disrupting GLI3 and FBN1

Alistair T Pagnamenta et al. J Med Genet. 2023 May.

Abstract

Many genetic testing methodologies are biased towards picking up structural variants (SVs) that alter copy number. Copy-neutral rearrangements such as inversions are therefore likely to suffer from underascertainment. In this study, manual review prompted by a virtual multidisciplinary team meeting and subsequent bioinformatic prioritisation of data from the 100K Genomes Project was performed across 43 genes linked to well-characterised skeletal disorders. Ten individuals from three independent families were found to harbour diagnostic inversions. In two families, inverted segments of 1.2/14.8 Mb unequivocally disrupted GLI3 and segregated with skeletal features consistent with Greig cephalopolysyndactyly syndrome. For one family, phenotypic blending was due to the opposing breakpoint lying ~45 kb from HOXA13 In the third family, long suspected to have Marfan syndrome, a 2.0 Mb inversion disrupting FBN1 was identified. These findings resolved lengthy diagnostic odysseys of 9-20 years and highlight the importance of direct interaction between clinicians and data-analysts. These exemplars of a rare mutational class inform future SV prioritisation strategies within the NHS Genomic Medicine Service and similar genome sequencing initiatives. In over 30 years since these two disease-gene associations were identified, large inversions have yet to be described and so our results extend the mutational spectra linked to these conditions.

Keywords: Gene Rearrangement; Genomics; Molecular Diagnostic Techniques; Musculoskeletal Diseases; Sequence Inversion.

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Conflict of interest statement

Competing interests: None declared.

Figures

Figure 1
Figure 1
Pedigrees and characteristic read-alignment signatures for rare diagnostic inversions in three Families from 100KGP. (A) Pedigrees and genetic segregation. Shading in Family 1 indicates polysyndactyly of hands/feet, relative macrocephaly and suspected Greig syndrome. Shading in Family 2 indicates radial dysplasia, toe syndactyly and variable urogenital features, as detailed in online supplemental figure S13. Shading in Family 3 indicates thoracic aortic aneurysm and suspected Marfan syndrome. Clinical status of the proband’s son is unknown. *WGS data available from 100KGP. NA, genetic testing not performed. (B) Read-alignments viewed with IGV showing inversions of chr7:42 051 297–43 254 780 (Family 1) and chr7:27 245 456–42 072 394 (Family 2). Both GLI3-disrupting inversions have breakpoints in intron 4, confirming that truncation of the gene at this point is a bona fide disease mechanism. (C)Distal breakpoint of inversion (chr15:46 635 052–48 604 302) disrupting FBN1 shared by proband (upper track) and mother (middle). †Control (lower) is unrelated individual from 100KGP analysed using similar methods. GRCh38 read-alignments are coloured by pair orientation such that read-pairs where both reads map to the +ve genomic strand are highlighted in green. Read-pairs where both reads map to the –ve strand (blue) are seen on the other side of the breakpoint.
Figure 2
Figure 2
Diagnostic odyssey timelines for Families 1–3. For Family 1, precise dates were unavailable for karyotyping and array testing. *Sequence data initially analysed in 2016 using GRCh37 as a reference. The same data were remapped and reanalysed on GRCh38 in February 2020. †Variant identified on Rare Disease Day 2021. WGS, whole-genome sequencing.

References

    1. Smedley D, Smith KR, Martin A, Thomas EA, McDonagh EM, Cipriani V, Ellingford JM, Arno G, Tucci A, Vandrovcova J, Chan G, Williams HJ, Ratnaike T, Wei W, Stirrups K, Ibanez K, Moutsianas L, Wielscher M, Need A, Barnes MR, Vestito L, Buchanan J, Wordsworth S, Ashford S, Rehmström K, Li E, Fuller G, Twiss P, Spasic-Boskovic O, Halsall S, Floto RA, Poole K, Wagner A, Mehta SG, Gurnell M, Burrows N, James R, Penkett C, Dewhurst E, Gräf S, Mapeta R, Kasanicki M, Haworth A, Savage H, Babcock M, Reese MG, Bale M, Baple E, Boustred C, Brittain H, de Burca A, Bleda M, Devereau A, Halai D, Haraldsdottir E, Hyder Z, Kasperaviciute D, Patch C, Polychronopoulos D, Matchan A, Sultana R, Ryten M, Tavares ALT, Tregidgo C, Turnbull C, Welland M, Wood S, Snow C, Williams E, Leigh S, Foulger RE, Daugherty LC, Niblock O, Leong IUS, Wright CF, Davies J, Crichton C, Welch J, Woods K, Abulhoul L, Aurora P, Bockenhauer D, Broomfield A, Cleary MA, Lam T, Dattani M, Footitt E, Ganesan V, Grunewald S, Compeyrot-Lacassagne S, Muntoni F, Pilkington C, Quinlivan R, Thapar N, Wallis C, Wedderburn LR, Worth A, Bueser T, Compton C, Deshpande C, Fassihi H, Haque E, Izatt L, Josifova D, Mohammed S, Robert L, Rose S, Ruddy D, Sarkany R, Say G, Shaw AC, Wolejko A, Habib B, Burns G, Hunter S, Grocock RJ, Humphray SJ, Robinson PN, Haendel M, Simpson MA, Banka S, Clayton-Smith J, Douzgou S, Hall G, Thomas HB, O'Keefe RT, Michaelides M, Moore AT, Malka S, Pontikos N, Browning AC, Straub V, Gorman GS, Horvath R, Quinton R, Schaefer AM, Yu-Wai-Man P, Turnbull DM, McFarland R, Taylor RW, O'Connor E, Yip J, Newland K, Morris HR, Polke J, Wood NW, Campbell C, Camps C, Gibson K, Koelling N, Lester T, Németh AH, Palles C, Patel S, Roy NBA, Sen A, Taylor J, Cacheiro P, Jacobsen JO, Seaby EG, Davison V, Chitty L, Douglas A, Naresh K, McMullan D, Ellard S, Temple IK, Mumford AD, Wilson G, Beales P, Bitner-Glindzicz M, Black G, Bradley JR, Brennan P, Burn J, Chinnery PF, Elliott P, Flinter F, Houlden H, Irving M, Newman W, Rahman S, Sayer JA, Taylor JC, Webster AR, Wilkie AOM, Ouwehand WH, Raymond FL, Chisholm J, Hill S, Bentley D, Scott RH, Fowler T, Rendon A, Caulfield M, 100,000 Genomes Project Pilot Investigators . 100,000 Genomes Pilot on Rare-Disease Diagnosis in Health Care - Preliminary Report. N Engl J Med 2021;385:1868–80 10.1056/NEJMoa2035790 - DOI - PMC - PubMed
    1. Taylor JC, Martin HC, Lise S, Broxholme J, Cazier J-B, Rimmer A, Kanapin A, Lunter G, Fiddy S, Allan C, Aricescu AR, Attar M, Babbs C, Becq J, Beeson D, Bento C, Bignell P, Blair E, Buckle VJ, Bull K, Cais O, Cario H, Chapel H, Copley RR, Cornall R, Craft J, Dahan K, Davenport EE, Dendrou C, Devuyst O, Fenwick AL, Flint J, Fugger L, Gilbert RD, Goriely A, Green A, Greger IH, Grocock R, Gruszczyk AV, Hastings R, Hatton E, Higgs D, Hill A, Holmes C, Howard M, Hughes L, Humburg P, Johnson D, Karpe F, Kingsbury Z, Kini U, Knight JC, Krohn J, Lamble S, Langman C, Lonie L, Luck J, McCarthy D, McGowan SJ, McMullin MF, Miller KA, Murray L, Németh AH, Nesbit MA, Nutt D, Ormondroyd E, Oturai AB, Pagnamenta A, Patel SY, Percy M, Petousi N, Piazza P, Piret SE, Polanco-Echeverry G, Popitsch N, Powrie F, Pugh C, Quek L, Robbins PA, Robson K, Russo A, Sahgal N, van Schouwenburg PA, Schuh A, Silverman E, Simmons A, Sørensen PS, Sweeney E, Taylor J, Thakker RV, Tomlinson I, Trebes A, Twigg SR, Uhlig HH, Vyas P, Vyse T, Wall SA, Watkins H, Whyte MP, Witty L, Wright B, Yau C, Buck D, Humphray S, Ratcliffe PJ, Bell JI, Wilkie AO, Bentley D, Donnelly P, McVean G. Factors influencing success of clinical genome sequencing across a broad spectrum of disorders. Nat Genet 2015;47:717–26. 10.1038/ng.3304 - DOI - PMC - PubMed
    1. Ahn JW, Mann K, Walsh S, Shehab M, Hoang S, Docherty Z, Mohammed S, Mackie Ogilvie C. Validation and implementation of array comparative genomic hybridisation as a first line test in place of postnatal karyotyping for genome imbalance. Mol Cytogenet 2010;3:9. 10.1186/1755-8166-3-9 - DOI - PMC - PubMed
    1. Mantere T, Neveling K, Pebrel-Richard C, Benoist M, van der Zande G, Kater-Baats E, Baatout I, van Beek R, Yammine T, Oorsprong M, Hsoumi F, Olde-Weghuis D, Majdali W, Vermeulen S, Pauper M, Lebbar A, Stevens-Kroef M, Sanlaville D, Dupont JM, Smeets D, Hoischen A, Schluth-Bolard C, El Khattabi L. Optical genome mapping enables constitutional chromosomal aberration detection. Am J Hum Genet 2021;108:1409–22. 10.1016/j.ajhg.2021.05.012 - DOI - PMC - PubMed
    1. Zhang S, Pei Z, Lei C, et al. . Detection of cryptic balanced chromosomal rearrangements using high-resolution optical genome mapping. J Med Genet 2023;60:274–84. 10.1136/jmedgenet-2022-108553 - DOI - PubMed

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