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.
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.
Authors: Emma L Wakeling; Frédéric Brioude; Oluwakemi Lokulo-Sodipe; Susan M O'Connell; Jennifer Salem; Jet Bliek; Ana P M Canton; Krystyna H Chrzanowska; Justin H Davies; Renuka P Dias; Béatrice Dubern; Miriam Elbracht; Eloise Giabicani; Adda Grimberg; Karen Grønskov; Anita C S Hokken-Koelega; Alexander A Jorge; Masayo Kagami; Agnes Linglart; Mohamad Maghnie; Klaus Mohnike; David Monk; Gudrun E Moore; Philip G Murray; Tsutomu Ogata; Isabelle Oliver Petit; Silvia Russo; Edith Said; Meropi Toumba; Zeynep Tümer; Gerhard Binder; Thomas Eggermann; Madeleine D Harbison; I Karen Temple; Deborah J G Mackay; Irène Netchine Journal: Nat Rev Endocrinol Date: 2016-09-02 Impact factor: 43.330
Authors: Mari-Anne Vals; Maria Yakoreva; Tiina Kahre; Pille Mee; Kai Muru; Kairit Joost; Rita Teek; Lukas Soellner; Thomas Eggermann; Katrin Õunap Journal: Genet Test Mol Biomarkers Date: 2015-10-27
Authors: Walid Abi Habib; Frédéric Brioude; Thomas Edouard; James T Bennett; Anne Lienhardt-Roussie; Frédérique Tixier; Jennifer Salem; Tony Yuen; Salah Azzi; Yves Le Bouc; Madeleine D Harbison; Irène Netchine Journal: Genet Med Date: 2017-08-10 Impact factor: 8.822
Authors: Salah Azzi; Jennifer Salem; Nathalie Thibaud; Sandra Chantot-Bastaraud; Eli Lieber; Irène Netchine; Madeleine D Harbison Journal: J Med Genet Date: 2015-05-07 Impact factor: 6.318