Genetic heterogeneity in Cornelia de Lange syndrome (CdLS) and CdLS-like phenotypes with observed and predicted levels of mosaicism

Morad Ansari, Gemma Poke, Quentin Ferry, Kathleen Williamson, Roland Aldridge, Alison M. Meynert, Hemant Bengani, Cheng Yee Chan, Hülya Kayserili, Şahin Avci, Raoul C.M. Hennekam, Anne K. Lampe, Egbert Redeker, Tessa Homfray, Alison Ross, Marie Falkenberg Smeland, Sahar Mansour, Michael J. Parker, Jacqueline A. Cook, Miranda SplittRichard B. Fisher, Alan Fryer, Alex C. Magee, Andrew Wilkie, Angela Barnicoat, Angela F. Brady, Nicola S. Cooper, Catherine Mercer, Charu Deshpande, Christopher P. Bennett, Daniela T. Pilz, Deborah Ruddy, Deirdre Cilliers, Diana S. Johnson, Dragana Josifova, Elisabeth Rosser, Elizabeth M. Thompson, Emma Wakeling, Esther Kinning, Fiona Stewart, Frances Flinter, Katta M. Girisha, Helen Cox, Helen V. Firth, Helen Kingston, Jamie S. Wee, Jane A. Hurst, Jill Clayton-Smith, John Tolmie, Julie Vogt, Katrina Tatton-Brown, Kate Chandler, Katrina Prescott, Louise Wilson, Mahdiyeh Behnam, Meriel McEntagart, Rosemarie Davidson, Sally Ann Lynch, Sanjay Sisodiya, Sarju G. Mehta, Shane A. McKee, Shehla Mohammed, Simon Holden, Soo Mi Park, Susan E. Holder, Victoria Harrison, Vivienne McConnell, Wayne K. Lam, Andrew J. Green, Dian Donnai, Maria Bitner-Glindzicz, Deirdre E. Donnelly, Christoffer Nellåker, Martin S. Taylor, David R. FitzPatrick*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

124 Citations (Scopus)

Abstract

Background: Cornelia de Lange syndrome (CdLS) is a multisystem disorder with distinctive facial appearance, intellectual disability and growth failure as prominent features. Most individuals with typical CdLS have de novo heterozygous loss-of-function mutations in NIPBL with mosaic individuals representing a significant proportion. Mutations in other cohesin components, SMC1A, SMC3, HDAC8 and RAD21 cause less typical CdLS. Methods: We screened 163 affected individuals for coding region mutations in the known genes, 90 for genomic rearrangements, 19 for deep intronic variants in NIPBL and 5 had whole-exome sequencing. Results: Pathogenic mutations [including mosaic changes] were identified in: NIPBL 46 [3] (28.2%); SMC1A 5 [1] (3.1%); SMC3 5 [1] (3.1%); HDAC8 6 [0] (3.6%) and RAD21 1 [0] (0.6%). One individual had a de novo 1.3 Mb deletion of 1p36.3. Another had a 520 kb duplication of 12q13.13 encompassing ESPL1, encoding separase, an enzyme that cleaves the cohesin ring. Three de novo mutations were identified in ANKRD11 demonstrating a phenotypic overlap with KBG syndrome. To estimate the number of undetected mosaic cases we used recursive partitioning to identify discriminating features in the NIPBL-positive subgroup. Filtering of the mutation-negative group on these features classified at least 18% as 'NIPBL-like'. A computer composition of the average face of this NIPBL-like subgroup was also more typical in appearance than that of all others in the mutationnegative group supporting the existence of undetected mosaic cases. Conclusions: Future diagnostic testing in 'mutationnegative' CdLS thus merits deeper sequencing of multiple DNA samples derived from different tissues.

Original languageEnglish
Pages (from-to)659-668
Number of pages10
JournalJournal of Medical Genetics
Volume51
Issue number10
DOIs
Publication statusPublished - 2014

ASJC Scopus subject areas

  • Genetics
  • Genetics(clinical)

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