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Objectives: To identify the frequency and distribution of familial Mediterranean fever (FMF) gene (MEFV) mutations in Tunisian patients. Patients and Methods: This study was performed in the Genetic Department of Tunis University Hospital. A clinical diagnosis of FMF was made according to published criteria. Mutation screening of the MEFV gene was performed in the Human Genetic Laboratory of the “Faculté de Medecine de Tunis” for 8 mutations including the 5 most common known mutations M694V, V726A, M694l, M680l, and E148Q. The tests performed were polymerase chain reaction (PCR) restriction-digestion for M694V, V726A, M680l, R761H, E148Q; amplification refractory mutation system for A744S, M694l; and PCR-electrophoresis assay for l692del. Results: Of the 139 unrelated patients investigated, 61 (44%) had 1 or 2 mutations. In 78 (56%) probands no mutation was identified: 28 patients were homozygous; 16 were compound-heterozygous; 2 had complex alleles; and 17 had only 1 identifiable mutation. Of the mutations, M680l, M694V, M694l, V726A, A744S, R761H, l692DEL, and E148Q accounted for 32, 27, 13, 5, 3, 1, 1, and 18%, respectively. Conclusion: The profile of the MEFV gene mutations in the Tunisian population is concordant with other Arab populations but with some differences. M680l is the most common mutation, while V726A, the commonest mutation among Arabs, is rare in our population. [Copyright &y& Elsevier]

• A female patient with a classic picture of complete androgen insensitivity syndrome. • A novel mutation in the AR gene was identified by direct sequencing: p.R856L. • Functional studies were performed to investigate the functional properties of p.R856L. • p.R856L mutation strongly affected both transactivation capacity and N/C interaction. • Functional studies confirmed the pathogenicity of p.R856L mutation. Androgens are critical for male sex differentiation. Their actions are mediated by the androgen receptor (AR). Mutations disrupting AR function result in the androgen insensitivity syndrome (AIS). In this study, we identified in a patient with complete AIS, a novel AR mutation p.R856L. To investigate the functional properties of p.R856L, we performed functional studies. In comparison, we have characterized two already described mutations: p.R856H and p.R856C. We used a model composed of two different promoters fused to a reporter gene, two cell lines, and showed that all mutations were able to transactivate the (ARE) 2 -TATA promoter expressed in CHO cells more highly. Moreover, we confirmed the pathogenicity of the p.R856L and p.R856C mutations, and their associations with complete AIS. In contrast, the p.R856H mutation, which is associated with a spectrum of AIS phenotypes, showed less severe transcriptional constraints. Altogether, our studies allowed us to better characterize arginine residue at p.R856 position. [ABSTRACT FROM AUTHOR]

• We converted X and Y chromosomes genomic sequences to numerical representation: DNA images. • We developed a new algorithm in the goal to localize the repetitive patterns in the DNA images corresponding to the repetitive sequences. • Based on Convolutional neural network (CNN), we developed a classification system to predict the repetitive DNA classes. • Furthermore, to the best of our knowledge, our work provides the first deep learning methods applied to DNA images classification task. Repetitive DNA sequences occupy the major proportion of DNA in the human genome and even in the other species' genomes. The importance of each repetitive DNA type depends on many factors: structural and functional roles, positions, lengths and numbers of these repetitions are clear examples. Conserving such DNA sequences or not in different locations in the chromosome remains a challenge for researchers in biology. Detecting their location despite their great variability and finding novel repetitive sequences remains a challenging task. To side-step this problem, we developed a new method based on signal and image processing tools. In fact, using this method we could find repetitive patterns in DNA images regardless of the repetition length. This new technique seems to be more efficient in detecting new repetitive sequences than bioinformatics tools. In fact, the classical tools present limited performances especially in case of mutations (insertion or deletion). However, modifying one or a few numbers of pixels in the image doesn't affect the global form of the repetitive pattern. As a consequence, we generated a new repetitive patterns database which contains tandem and dispersed repeated sequences. The highly repetitive sequences, we have identified in X and Y chromosomes, are shown to be located in other human chromosomes or in other genomes. The data we have generated is then taken as input to a Convolutional neural network classifier in order to classify them. The system we have constructed is efficient and gives an average of 94.4% as recognition score. [ABSTRACT FROM AUTHOR]

• Ten patients with a classic picture of complete androgen insensitivity syndrome. • Molecular analysis was established by direct sequencing of the AR gene. • Molecular diagnosis confirmed the presence of AR mutations in nine patients. • Two novel mutations in the AR gene were identified: IVS3 + 1G > T and p.288Qfs*14. • The novel mutations are predicted to be pathogenic and responsible for the phenotype. The Androgen insensitivity syndrome (AIS) in its complete form (CAIS) is a disorder in abnormal male development characterized by a complete female phenotype in a 46,XY individual. The most frequent cause of this disorder is a hemizygous mutation in androgen receptor (AR) gene located in X chromosome. The first aim of this study was to confirm the clinical diagnosis in a series of Tunisian patients with a typical phenotype of CAIS by molecular genetic analysis. The second aim was to determine the AR mutational profile in the local population. The entire coding region and the exon-intron junctions of the AR gene were sequenced in a series of ten patients. AR defects were found in nine patients. Despite the small number of cases, two of the nine identified mutations were novel. The first novel mutation was an 8-bp deletion in exon 1 (c.862_869del) resulting in a frameshift (p.A288Qfs*14). The second was a splice site mutation c.1885 + 1G > T (IVS3 + 1G > T). In this study, genetic testing has confirmed the diagnosis of most CAIS patients and has revealed two novel mechanisms responsible for the pathogenesis of AIS, as well as seven other reported mutations. [ABSTRACT FROM AUTHOR]

Germline mutations in the BRCA tumor suppressor genes account for a substantial proportion of hereditary breast/ovarian cancer. However, this contribution is lower than expected. This underestimation can partly be explained by the BRCA alterations missed by using Sanger sequencing methods. Thus, large genomic rearrangements (LGRs) in BRCA1 and BRCA2 are responsible for 4–28% of all inherited BRCA mutations. In this study, Multiplex ligation-dependent probe amplification (MLPA) assay was used for detection of large rearrangements of BRCA1 and BRCA2 genes in 36 unrelated high-risk breast/ovarian cancer patients negative for BRCA1/2 point mutations. MLPA assay for all exons of both genes and for 1100delC variant of CHEK2 gene were performed. Positive MLPA results were confirmed by real-time quantitative PCR (qPCR). Two different rearrangements in the BRCA1 gene were identified consisting of exon 5 deletion and exon 20 duplication. MLPA analysis did not reveal any large genomic rearrangements in BRCA2 gene. Overall BRCA1/2 LGRs prevalence among high-risk Tunisian patients was 5.5%. Quantitative real-time PCR confirmed MPLA findings. Our results suggest the usefulness of screening for LGRs in BRCA genes in the Tunisian population. To avoid false-negative results, we suggest that MLPA should be used in genetic testing programs. These results are important for guidance counseling and clinical management of Tunisian high-risk patients. [ABSTRACT FROM AUTHOR]