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Comparative Study
. 2011 Jan;69(1):22-33.
doi: 10.1002/ana.22166.

Charcot-Marie-Tooth disease subtypes and genetic testing strategies

Affiliations
Comparative Study

Charcot-Marie-Tooth disease subtypes and genetic testing strategies

Anita S D Saporta et al. Ann Neurol. 2011 Jan.

Abstract

Objective: Charcot-Marie-Tooth disease (CMT) affects 1 in 2,500 people and is caused by mutations in more than 30 genes. Identifying the genetic cause of CMT is often necessary for family planning, natural history studies, and for entry into clinical trials. However genetic testing can be both expensive and confusing to patients and physicians.

Methods: We analyzed data from 1,024 of our patients to determine the percentage and features of each CMT subtype within this clinic population. We identified distinguishing clinical and physiological features of the subtypes that could be used to direct genetic testing for patients with CMT.

Results: Of 1,024 patients evaluated, 787 received CMT diagnoses. A total of 527 patients with CMT (67%) received a genetic subtype, while 260 did not have a mutation identified. The most common CMT subtypes were CMT1A, CMT1X, hereditary neuropathy with liability to pressure palsies (HNPP), CMT1B, and CMT2A. All other subtypes accounted for less than 1% each. Eleven patients had >1 genetically identified subtype of CMT. Patients with genetically identified CMT were separable into specific groups based on age of onset and the degree of slowing of motor nerve conduction velocities.

Interpretation: Combining features of the phenotypic and physiology groups allowed us to identify patients who were highly likely to have specific subtypes of CMT. Based on these results, we propose a strategy of focused genetic testing for CMT, illustrated in a series of flow diagrams created as testing guides.

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Figures

Figure 1
Figure 1
Flow diagram for genetically diagnosing CMT in patients with slow upper extremity MNCV. This algorithm is designed to be a general guide and is not intended to encompass every potential clinical scenario nor all possible genetic etiologies. Dup= duplication; Seq=sequencing.
Figure 2
Figure 2
Flow diagram for genetically diagnosing CMT in patients with very slow upper extremity MNCV. This algorithm is designed to be a general guide and is not intended to encompass every potential clinical scenario nor all possible genetic etiologies. Dup= duplication; Seq=sequencing.
Figure 3
Figure 3
Flow diagram for genetically diagnosing CMT in patients with intermediate upper extremity MNCV. This algorithm is designed to be a general guide and is not intended to encompass every potential clinical scenario nor all possible genetic etiologies.
Figure 4
Figure 4
Flow diagram for genetically diagnosing CMT in patients with axonal MNCV.. In most cases MNCV in upper extremities are >45 m/s. However in severe cases these potentials may be absent. In these cases it is important to test proximal nerves to ensure that the patient does not have a severe demyelinating neuropathy that can mimic axonal CMT. This algorithm is designed to be a general guide and is not intended to encompass every potential clinical scenario nor all possible genetic etiologies. This algorithm is designed to be a general guide and is not intended to encompass every potential clinical scenario nor all possible genetic etiologies.

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References

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