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Updated: Jun 17, 2026

A Rat Tibial Growth Plate Injury Model to Characterize Repair Mechanisms and Evaluate Growth Plate Regeneration Strategies
06:53

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Published on: July 4, 2017

Multiple epiphyseal dysplasia.

Johanna Dahlqvist1, Hanna Orlén, Hans Matsson

  • 1Department of Genetics and Pathology, the Rudbeck Laboratory, Uppsala University, Uppsala, Sweden.

Acta Orthopaedica
|December 10, 2009
PubMed
Summary
This summary is machine-generated.

Multiple epiphyseal dysplasia (MED) is linked to a COL9A2 gene mutation, causing early-onset osteoarthritis and muscle atrophy. Genetic testing aids early diagnosis and risk assessment in affected families.

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Area of Science:

  • Genetics
  • Orthopedics
  • Molecular Biology

Background:

  • Multiple epiphyseal dysplasia (MED) is a common, heterogeneous skeletal disorder.
  • Characterized by early-onset osteoarthritis and short stature.
  • This study investigates a 6-generation family with 17 affected members.

Purpose of the Study:

  • To identify the genetic cause of MED in a large family.
  • To characterize the clinical and radiographic features associated with the identified mutation.
  • To investigate novel symptoms, such as muscular atrophy, in MED patients.

Main Methods:

  • Clinical and radiographic data collection from 12 affected individuals.
  • Structured health inquiry and Osteoarthritis Outcome Score (KOOS) questionnaire.
  • Genetic linkage analysis of known MED loci and sequencing of the COL9A2 gene.

Main Results:

  • An exon 3 donor splice mutation in the COL9A2 gene was identified in all affected family members.
  • MED caused by this mutation presents in early childhood with knee pain and delayed femoral ossification.
  • Progressive joint involvement, potential need for surgery, and newly observed muscular atrophy, fatigue, and pain were documented.

Conclusions:

  • DNA-based analysis is crucial for diagnosing MED and identifying disease-causing mutations.
  • Genetic testing facilitates risk assessment for family members.
  • Early and accurate diagnosis in children is essential for timely management.