Comparison of the clinical scoring systems in Silver-Russell syndrome and development of modified diagnostic criteria to guide molecular genetic testing.

J Med Genet

Centre for Rare Diseases and Personalised Medicine, School of Clinical and Experimental Medicine, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.

Published: September 2013

AI Article Synopsis

  • Silver-Russell syndrome (SRS) has identifiable genetic causes in about half of diagnosed children, but recognizing when to test for these abnormalities can be challenging for non-specialists due to varied symptoms and changing features over time.
  • This study assessed the effectiveness of four existing clinical scoring systems for selecting patients for genetic testing in a lab and found that all had subjective criteria that might be hard for general practitioners to use.
  • A new, simplified scoring system using four clear, objective measures was created, showing similar effectiveness to the best existing method, aimed at improving genetic testing processes in regular clinical settings.

Article Abstract

Background: About half of all children with a clinical diagnosis of Silver-Russell syndrome (SRS) have a detectable molecular genetic abnormality (maternal uniparental disomy of chromosome upd(7)mat or hypomethylation of H19 differentially methylated region (DMR). The selection of children for molecular genetic testing can be difficult for non-specialists because of the broad phenotypic spectrum of SRS and the tendency of the facial features to mitigate during late childhood. Several clinical scoring systems for SRS have been developed by specialist researchers, but the utility of these for guiding molecular genetic testing in routine clinical practice has not been established.

Objectives: To evaluate the utility of four published clinical scoring systems for genetic testing in a cohort of patients referred to a clinical service laboratory.

Patients: Individuals with suspected SRS referred for molecular genetic testing of H19 DMR methylation status or upd(7)mat.

Results: 36 of 139 (25.9%) patients referred for testing had a genetic abnormality identified. Comparison of four published clinical scoring systems demonstrated that all included subjective criteria that could be difficult for the general clinician to assess. We developed a novel, simplified, scoring system utilising four objective, easily measured parameters that performed similarly to the most sensitive and specific published scoring system.

Discussion: Effective utilisation of genetic testing by clinicians without specialist clinical genetics training will be facilitated by the development of targeted testing protocols that are based on robust objective clinical features and are designed for use in a busy clinical practice rather than a research setting.

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Source
http://dx.doi.org/10.1136/jmedgenet-2013-101693DOI Listing

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