Pseudoachondroplasia and multiple epiphyseal dysplasia: A 7‐year comprehensive analysis of the known disease genes identify novel and recurrent mutations and provides an accurate assessment of their relative contribution

Gail C. Jackson(Wellcome Centre for Cell-Matrix Research), Lauréane Mittaz‐Crettol(University Hospital of Lausanne), Jacqueline Taylor(Wellcome Centre for Cell-Matrix Research), Geert Mortier(Antwerp University Hospital), J Spranger, Bernhard Zabel, Martine Le Merrer(Hôpital Necker-Enfants Malades), Valérie Cormier‐Daire(Hôpital Necker-Enfants Malades), Christine M Hall(Great Ormond Street Hospital), Amaka C Offiah(Sheffield Children's Hospital), Michael Wright, Ravi Savarirayan(The University of Melbourne), Gen Nishimura(Tokyo Metropolitan Children's Medical Center), Simon Ramsden, Rob Elles, Luisa Bonafé(University Hospital of Lausanne), Andrea Superti‐Furga(University Hospital of Lausanne), Sheila Unger(University Hospital of Lausanne), Andreas Zankl(The University of Queensland), Michael D. Briggs(Wellcome Centre for Cell-Matrix Research)
Human Mutation
September 16, 2011
Cited by 128Open Access
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Abstract

Pseudoachondroplasia (PSACH) and multiple epiphyseal dysplasia (MED) are relatively common skeletal dysplasias resulting in short-limbed dwarfism, joint pain, and stiffness. PSACH and the largest proportion of autosomal dominant MED (AD-MED) results from mutations in cartilage oligomeric matrix protein (COMP); however, AD-MED is genetically heterogenous and can also result from mutations in matrilin-3 (MATN3) and type IX collagen (COL9A1, COL9A2, and COL9A3). In contrast, autosomal recessive MED (rMED) appears to result exclusively from mutations in sulphate transporter solute carrier family 26 (SLC26A2). The diagnosis of PSACH and MED can be difficult for the nonexpert due to various complications and similarities with other related diseases and often mutation analysis is requested to either confirm or exclude the diagnosis. Since 2003, the European Skeletal Dysplasia Network (ESDN) has used an on-line review system to efficiently diagnose cases referred to the network prior to mutation analysis. In this study, we present the molecular findings in 130 patients referred to ESDN, which includes the identification of novel and recurrent mutations in over 100 patients. Furthermore, this study provides the first indication of the relative contribution of each gene and confirms that they account for the majority of PSACH and MED.


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