Low penetrance in facioscapulohumeral muscular dystrophy type 1 with large pathological D4Z4 alleles: a cross-sectional multicenter study.

BackgroundFacioscapulohumeral muscular dystrophy type 1(FSHD1) is an autosomal dominant disorder associated with the contraction of D4Z4 less than 11 repeat units (RUs) on chromosome 4q35. Penetrance in the range of the largest alleles is poorly known. Our objective was to study the penetrance of FSHD1 in patients carrying alleles ranging between 6 to10 RUs and to evaluate the influence of sex, age, and several environmental factors on clinical expression of the disease. Methods A cross-sectional multicenter study was conducted in six French and one Swiss neuromuscular centers. 65 FSHD1 affected patients carrying a 4qA allele of 6¿10 RUs were identified as index cases (IC) and their 119 at-risk relatives were included. The age of onset was recorded for IC only. Medical history, neurological examination and manual muscle testing were performed for each subject. Genetic testing determined the allele size (number of RUs) and the 4qA/4qB allelic variant. The clinical status of relatives was established blindly to their genetic testing results. The main outcome was the penetrance defined as the ratio between the number of clinically affected carriers and the total number of carriers. Results Among the relatives, 59 carried the D4Z4 contraction. At the clinical level, 34 relatives carriers were clinically affected and 25 unaffected. Therefore, the calculated penetrance was 57% in the range of 6¿10 RUs. Penetrance was estimated at 62% in the range of 6¿8 RUs, and at 47% in the range of 9¿10 RUs. Moreover, penetrance was lower in women than men. There was no effect of drugs, anesthesia, surgery or traumatisms on the penetrance. Conclusions Penetrance of FSHD1 is low for largest alleles in the range of 9¿10 RUs, and lower in women than men. This is of crucial importance for genetic counseling and clinical management of patients and families

Loss of paraplegin drives spasticity rather than ataxia in a cohort of 241 patients with SPG7

Objective : We took advantage of a large multinational recruitment to delineate genotype-phenotype correlations in a large, trans-European multicenter cohort of patients with spastic paraplegia gene 7 (SPG7). Methods : We analyzed clinical and genetic data from 241 patients with SPG7, integrating neurologic follow-up data. One case was examined neuropathologically. Results : Patients with SPG7 had a mean age of 35.5 +/- 14.3 years (n = 233) at onset and presented with spasticity (n = 89), ataxia (n = 74), or both (n = 45). At the first visit, patients with a longer disease duration (> 20 years, n = 62) showed more cerebellar dysarthria (p < 0.05), deep sensory loss (p < 0.01), muscle wasting (p < 0.01), ophthalmoplegia (p < 0.05), and sphincter dysfunction (p < 0.05) than those with a shorter duration (< 10 years, n = 93). Progression, measured by Scale for the Assessment and Rating of Ataxia evaluations, showed a mean annual increase of 1.0 +/- 1.4 points in a subgroup of 30 patients. Patients homozygous for loss of function (LOF) variants (n = 65) presented significantly more often with pyramidal signs (p < 0.05), diminished visual acuity due to optic atrophy (p < 0.0001), and deep sensory loss (p < 0.0001) than those with at least 1 missense variant (n = 176). Patients with at least 1 Ala510Val variant (58%) were older (age 37.6 +/- 13.7 vs 32.8 +/- 14.6 years, p < 0.05) and showed ataxia at onset (p < 0.05). Neuropathologic examination revealed reduction of the pyramidal tract in the medulla oblongata and moderate loss of Purkinje cells and substantia nigra neurons. Conclusions : This is the largest SPG7 cohort study to date and shows a spasticity-predominant phenotype of LOF variants and more frequent cerebellar ataxia and later onset in patients carrying at least 1 Ala510Val variant

SCA15 due to large ITPR1 deletions in a cohort of 333 white families with dominant ataxia

BACKGROUND: Deletions in ITPR1, coding for the inositol-triphosphate receptor type 1, have been recently identified in spinocerebellar ataxia type 15 (SCA15). OBJECTIVE: To determine the frequency and the phenotypical spectrum of SCA15. DESIGN: Taqman polymerase chain reaction (258 index cases) or single-nucleotide polymorphism genome-wide genotyping (75 index cases). SETTING: A collaboration between the Centre de Recherche de l'Institut de Cerveau et de la Moelle Epiniere of the Salpetriere Hospital (Paris, France) and the Molecular Genetics Unit of the National Institute of Aging (Bethesda, Maryland). Patients Index cases of 333 families with autosomal dominant cerebellar ataxia negative for CAG repeat expansions in coding exons. MAIN OUTCOME MEASURES: Detection of ITPR1 copy number alterations. RESULTS: A deletion of ITPR1 was found in 6 of 333 families (1.8%), corresponding to 13 patients with SCA15. Age at onset ranged from 18 to 66 years (mean [SD] age, 35 [16] years). The symptom at onset was cerebellar gait ataxia, except in 1 patient with isolated upper limb tremor. Although families were tested irrespective of their phenotype, patients with SCA15 had a homogeneous phenotype and were characterized by a slowly progressive cerebellar ataxia. However, pyramidal signs (2 patients) and mild cognitive problems (2 patients) were occasionally present. Radiologic findings showed global or predominant vermian cerebellar atrophy in all patients. CONCLUSIONS: In this series, ITPR1 deletions were rare and accounted for approximately 1% of all autosomal dominant cerebellar ataxias. The SCA15 phenotype mostly consists of a slowly progressive isolated cerebellar ataxia with variable age at onset; an additional pyramidal syndrome and problems in executive functions may be present

Fast Standard Cells Statistical Characterization for SSTA Based on Design of Experiment Approach in 45nm MOSFETs Technology

International audienceControlling the process parameters becomes more and more difficult with the advancement of technology into the nanometre regime. Traditional corner based Static Timing Analysis (STA) becomes inefficient to handle chip timing performance under process variations owing to the large number of corners.Statistical Static Timing Analysis (SSTA) enables us to perform timing yield estimation under process parameters variation. However, accurate full chip timing yield estimation is attainableonly if the statistical characterization is performed for each constituent cell. In other words, we need to be able to generate statistical standard cells libraries. Our study focuses mainly on 45nm MOSFET mismatch parameters variation (threshold voltage, mobility). An accurate and relatively easy method toachieve this goal consists of using Monte Carlo (MC) simulation for electrical characterization. Unfortunately, the MC simulation time increases drastically with the number of MOS transistors constituting a standard cell. As of today very few papers put the focus on statistical libraries generation aspects. Nevertheless,[13] proposed an approach resulting in as much as 12X runtime improvement with accuracy within 12% on delay distribution compared with MC simulations. In order to reduce runtime performances, we propose a new statistical methodology for linear delay model extraction based on Design of Experiment(DOE) methodology which permits fast standard cell statistical library generation. This new methodology permits to achieve 20X runtime improvement on complex cells and 56X on other commonstandard cells, within 10% accuracy of MC simulations on standard deviation. 35X simulation time improvement is observed to generate a full statistical clock library (79 cells). Consideringthe capability of the approach to generate fast accurate delay distributions, it can be deployed in industries to generate amount of libraries statically which was not possible as of today because of MC simulations time