Preselection of cases through expert clinical and radiological review significantly increases mutation detection rate in multiple epiphyseal dysplasia

Skeletal dysplasias are difficult to diagnose for the nonexpert. In a previous study of patients with multiple epiphyseal dysplasia (MED), we identified cartilage oligomeric matrix protein (COMP) mutations in only 36% of cases and suspected that the low-mutation detection rate was partially due to m...

Full description

Saved in:
Bibliographic Details
Published inEuropean journal of human genetics : EJHG Vol. 15; no. 2; pp. 150 - 154
Main Authors Zankl, Andreas, Jackson, Gail C, Crettol, Laureane Mittaz, Taylor, Jacky, Elles, Rob, Mortier, Geert R, Spranger, Jurgen, Zabel, Bernhard, Unger, Sheila, Le Merrer, Martine, Cormier-Daire, Valerie, Hall, Christine M, Wright, Michael J, Bonafe, Luisa, Superti-Furga, Andrea, Briggs, Michael D
Format Journal Article
LanguageEnglish
Published 01.02.2007
Online AccessGet full text

Cover

Loading…
More Information
Summary:Skeletal dysplasias are difficult to diagnose for the nonexpert. In a previous study of patients with multiple epiphyseal dysplasia (MED), we identified cartilage oligomeric matrix protein (COMP) mutations in only 36% of cases and suspected that the low-mutation detection rate was partially due to misdiagnosis. We therefore instituted a clinical-radiographic review system, whereby all cases were evaluated by a panel of skeletal dysplasia experts (European Skeletal Dysplasia Network). Only those patients in whom the diagnosis of MED was confirmed by the panel were screened for mutations. Under this regimen the mutation detection rate increased to 81%. When clinical-radiological diagnostic criteria were relaxed the mutation rate dropped to 67%. We conclude that expert clinical-radiological review can significantly enhance mutation detection rates and should be part of any diagnostic mutation screening protocol for skeletal dysplasias.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-3
content type line 23
ObjectType-Review-1
ISSN:1018-4813
1476-5438
DOI:10.1038/sj.ejhg.5201744;