Abstract
Split-hand/foot malformation (SHFM) is a congenital limb defect most typically presenting with median clefts in hands and/or feet, that can occur in a syndromic context as well as in isolated form. SHFM is caused by failure to maintain normal apical ectodermal ridge function during limb development. Although several genes and contiguous gene syndromes are implicated in the monogenic etiology of isolated SHFM, the disorder remains genetically unexplained for many families and associated genetic loci. We describe a family with isolated X-linked SHFM, for which the causative variant could be detected after a diagnostic journey of 20 years. We combined well-established approaches including microarray-based copy number variant analysis and fluorescence in situ hybridization coupled with optical genome mapping and whole genome sequencing. This strategy identified a complex structural variant (SV) comprising a 165-kb gain of 15q26.3 material ([GRCh37/hg19] chr15:99795320-99960362dup) inserted in inverted position at the site of a 38-kb deletion on Xq27.1 ([GRCh37/hg19] chrX:139481061-139518989del). In silico analysis suggested that the SV disrupts the regulatory framework on the X chromosome and may lead to SOX3 misexpression. We hypothesize that SOX3 dysregulation in the developing limb disturbed the fine balance between morphogens required for maintaining AER function, resulting in SHFM in this family.
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | 100200 |
| Zeitschrift | Human Genetics and Genomics Advances |
| Jahrgang | 4 |
| Ausgabenummer | 3 |
| Seiten (von - bis) | 100200 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 13.07.2023 |
Fördermittel
We are very grateful to all individuals from the family for their participation in this study. We would like to thank Joost Kummeling, Guillaume van de Zande, Martina Ruiterkamp-Versteeg, Ronald van Beek, Michael Kwint, Michiel Oorsprong, Ellen Kater-Baats, Jordi Corominas Galbany, Christian Gilissen, the Radboudumc Technology Center Genomics, and the Radboudumc Cell Culture Facility for their technical and bioinformatic support, and Musa M. Mhlanga and Lucas L. Boer for the fruitful discussions. This work was financially supported by Aspasia grants of the Dutch Research Council ( 015.014.036 to T.K. and 015.014.066 to L.V.) and Netherlands Organization for Health Research and Development ( 91718310 to T.K.). The collaborations in this study were facilitated by ERN ITHACA, one of the 24 European Reference Networks (ERNs) approved by the ERN Board of Member States, co-funded by the European Commission . The aims of this study contribute to the Solve-RD project (E.d.B., A.H., T.K., L.V.), which has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No. 779257 . We are very grateful to all individuals from the family for their participation in this study. We would like to thank Joost Kummeling, Guillaume van de Zande, Martina Ruiterkamp-Versteeg, Ronald van Beek, Michael Kwint, Michiel Oorsprong, Ellen Kater-Baats, Jordi Corominas Galbany, Christian Gilissen, the Radboudumc Technology Center Genomics, and the Radboudumc Cell Culture Facility for their technical and bioinformatic support, and Musa M. Mhlanga and Lucas L. Boer for the fruitful discussions. This work was financially supported by Aspasia grants of the Dutch Research Council (015.014.036 to T.K. and 015.014.066 to L.V.) and Netherlands Organization for Health Research and Development (91718310 to T.K.). The collaborations in this study were facilitated by ERN ITHACA, one of the 24 European Reference Networks (ERNs) approved by the ERN Board of Member States, co-funded by the European Commission. The aims of this study contribute to the Solve-RD project (E.d.B. A.H. T.K. L.V.), which has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement No. 779257. The authors declare no competing interests.
UN SDGs
Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung
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SDG 3 – Gesundheit und Wohlergehen
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SDG 10 – Weniger Ungleichheiten
Strategische Forschungsbereiche und Zentren
- Querschnittsbereich: Medizinische Genetik
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