Copy number variation upstream of PMP22 in Charcot–Marie–Tooth disease

In several individuals with a Charcot–Marie–Tooth (CMT) phenotype, we found a copy number variation (CNV) on chromosome 17p12 in the direct vicinity of the peripheral myelin protein 22 (PMP22) gene. The exact borders and size of this CNV were determined by Southern blot analysis, MLPA, vectorette PCR, and microarray hybridization analyses. All patients from six apparently unrelated families carried an identical 186-kb duplication different from the commonly reported 1.5-Mb duplication associated with CMT1A. This ancestral mutation that was not reported in the human structural variation database was only detected in affected individuals and family members. It was absent in 2124 control chromosomes and 40 patients with a chronic inflammatory demyelinating polyneuropathy (CIDP) and therefore should be regarded as causative for the disease. This variant escapes most routine diagnostic screens for CMT1A, because copy numbers of PMP22 probes were all normal. No indications were found for the involvement of the genes that are located within this duplication. A possible association of this duplication with a mutation in the PMP22 coding regions was also excluded. We suggest that this CNV proximal of the PMP22 gene leads to CMT through an unknown mechanism affecting PMP22 expression

Predicting outcome in Guillain-Barré syndrome: international validation of the modified Erasmus GBS Outcome Score

Background and objectives: The clinical course and outcome of the Guillain-Barré syndrome (GBS) are diverse and vary among regions. The modified Erasmus GBS Outcome Score (mEGOS) is a clinical model that predicts the risk of walking inability in GBS patients, and was developed with data from Dutch patients. The study objective was to validate the mEGOS in the International GBS Outcome Study (IGOS) cohort and to improve its performance and region-specificity. Methods: We used prospective data from the first 1500 patients included in IGOS, aged ≥ 6 years and unable to walk independently. We evaluated if the mEGOS at entry and week 1 could predict the inability to walk unaided at 4 and 26 weeks in the full cohort and in regional subgroups, using two measures for model performance: (1) discrimination: area under the receiver operating characteristic curve (AUC), and (2) calibration: observed versus predicted probability of being unable to walk independently. To improve the model predictions we recalibrated the model containing the overall mEGOS score, without changing the individual predictive factors. Finally, we assessed the predictive ability of the individual factors. Results: For validation of mEGOS at entry 809 patients were eligible (Europe/North America n=677, Asia n=76, other=56), and 671 for validation of mEGOS at week 1 (Europe/North America n=563, Asia n=65, other=43). AUC-values were >0.7 in all regional subgroups. In the Europe/North America subgroup observed outcomes were worse than predicted, while in Asia observed outcomes were better than predicted. Recalibration improved model accuracy and enabled the development of a region-specific version for Europe/North America (mEGOS-Eu/NA). Similar to the original mEGOS, severe limb weakness and higher age were the predominant predictors of poor outcome in the IGOS cohort. Discussion: The mEGOS is a validated tool to predict the inability to walk unaided at 4 and 26 weeks in GBS patients, also in countries outside The Netherlands. We developed a region-specific version of mEGOS for patients from Europe/North America. Classification of evidence: This study provides Class II evidence that the mEGOS accurately predicts the inability to walk unaided at 4 and 26 weeks in GBS patients. Clinicaltrialsgov identifier: NCT01582763