Methylation analysis and diagnostics of Beckwith-Wiedemann syndrome in 1,000 subjectsReport as inadecuate


Methylation analysis and diagnostics of Beckwith-Wiedemann syndrome in 1,000 subjects


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Publication Date: 2014-06-04

Journal Title: Clinical Epigenetics

Publisher: BioMed Central

Volume: 6

Issue: 11

Language: English

Type: Article

Metadata: Show full item record

Citation: Ibrahim, A., Kirby, G., Hardy, C., Dias, R. P., Tee, L., Lim, D., Berg, J., et al. (2014). Methylation analysis and diagnostics of Beckwith-Wiedemann syndrome in 1,000 subjects. Clinical Epigenetics, 6 (11)

Description: This is the final published version. It first appeared at http://www.clinicalepigeneticsjournal.com/content/6/1/11.

Abstract: Background Beckwith-Wiedemann syndrome (BWS), a congenital overgrowth disorder with variable expressivity and a predisposition to tumorigenesis, results from disordered expression and/or function of imprinted genes at chromosome 11p15.5. There are no generally agreed clinical diagnostic criteria, with molecular studies commonly performed to confirm diagnosis. In particular, methylation status analysis at two 11p15.5 imprinting control centres (IC1 and IC2) detects up to 80% of BWS cases (though low-level mosaicism may not be detected). In order to evaluate the relationship between the clinical presentation of suspected BWS and IC1/2 methylation abnormalities we reviewed the results of >1,000 referrals for molecular diagnostic testing. Results Out of 1,091 referrals, 507 (46.5%) had a positive diagnostic test for BWS. The frequency of tumours was 3.4% in those with a molecular diagnosis of BWS. Previously reported genotype-phenotype associations with paternal uniparental disomy, IC1, and IC2 epimutation groups were confirmed and potential novel associations detected. Predictive values of previously described clinical diagnostic criteria were compared and, although there were differences in their sensitivity and specificity, receiver operating characteristic (ROC) analysis demonstrated that these were not optimal in predicting 11p15.5 methylation abnormalities. Using logistic regression, we identified clinical features with the best predictive value for a positive methylation abnormality. Furthermore, we developed a weighted scoring system (sensitivity 75.9%, and specificity 81.8%) to prioritise patients presenting with the most common features of BWS, and ROC analysis demonstrated superior performance (area under the curve 0.85, 95% CI 0.83 to 0.87) compared to previous criteria. Conclusions We suggest that this novel tool will facilitate selection of patients with suspected BWS for routine diagnostic testing and so improve the diagnosis of the disorder.

Keywords: Beckwith-Wiedemann syndrome, Imprinting, 11p15, Diagnostic criteria, Scoring system

Sponsorship: We thank Action Medical Research and the Cambridge NIHR Biomedical Research Centre for financial support.

Identifiers:

This record's URL: http://dx.doi.org/10.1186/1868-7083-6-11http://www.repository.cam.ac.uk/handle/1810/247011

Rights: Attribution 2.0 UK: England & Wales

Licence URL: http://creativecommons.org/licenses/by/2.0/uk/





Author: Ibrahim, AbdullaKirby, GailHardy, CarolDias, Renuka P.Tee, LouiseLim, DerekBerg, JonathanMacDonald, FionaNightingale, PeterMaher,

Source: https://www.repository.cam.ac.uk/handle/1810/247011



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