The contribution of BRCA1/BRCA2 mutations to hereditary breast cancer in the Tunisian population has not been accurately estimated. The purpose of our study was to estimate the incidence and spectrum of pathogenic mutations in BRCA1/2 genes in early onset and familial breast/ovarian cancer among Tunisian women. To identify predictive factors for BRCA1/2 mutations, we screened the entire coding sequences and intron/exon boundaries of BRCA1/BRCA2 genes in 48 patients by direct sequencing. Twelve pathogenic mutations were detected (25%); three in BRCA1 (c.211dupA in four families, c.5266dupC in three families and c.1504_1508delTTAAA in one family) and two novel mutations in BRCA2 (c.1313dupT in two families and c.7654dupT in two families). We also identified 23 different polymorphisms and unclassified variants. These results indicate that our population has a spectrum of recurrent BRCA mutations.
Congenital adrenal hyperplasia (CAH) is a group of autosomal recessive disorders mainly due to defects in the steroid 21-hydroxylase (CYP21) gene. To determine the mutational spectrum in the Tunisian CAH population, the CYP21 active gene was analyzed in 51 unrelated patients using our cascade strategy (digestion by restriction enzyme, sequencing). All patients had a classical form of 21-hydroxylase deficiency. Mutations were detected in over 94% of the chromosomes examined. The most frequent mutation in the Tunisian CAH population was found to be Q318X, with large prevalence (35.3%), in contrast to 0.5-13.8% described in other series. Incidence of other mutations does not differ, as previously described: large deletions (19.6%), mutation in intron 2 (17.6%), and I172N (10.8%). Four novel mutations were found in four patients with the salt-wasting form. These four novel mutations include three point mutations that have not been reported to occur in the CYP21P pseudogene: R483W, W19X, 2669insC, and one small conversion of DNA sequence from exon 5 to exon 8. Our results have shown a good genotype/phenotype correlation in the case of most mutations. This is the first report of screening for mutations of 21-hydroxylase gene in the Tunisian population and even in the Arab population.
Investment in SARS-CoV-2 sequencing in Africa over the past year has led to a major increase in the number of sequences generated, now exceeding 100,000 genomes, used to track the pandemic on the continent. Our results show an increase in the number of African countries able to sequence domestically, and highlight that local sequencing enables faster turnaround time and more regular routine surveillance. Despite limitations of low testing proportions, findings from this genomic surveillance study underscore the heterogeneous nature of the pandemic and shed light on the distinct dispersal dynamics of Variants of Concern, particularly Alpha, Beta, Delta, and Omicron, on the continent. Sustained investment for diagnostics and genomic surveillance in Africa is needed as the virus continues to evolve, while the continent faces many emerging and re-emerging infectious disease threats. These investments are crucial for pandemic preparedness and response and will serve the health of the continent well into the 21st century.
Coronaviruses are responsible on respiratory diseases in animal and human. The combination of numerical encoding techniques and digital signal processing methods are becoming increasingly important in handling large genomic data. In this paper, we propose to analyze the SARS-CoV-2 genomic signature using the combination of different nucleotide representations and signal processing tools in the aim to identify its genetic origin. The sequence of SARS-CoV-2 was compared with 21 relevant sequences including Bat, Yak and Pangolin coronavirus sequences. In addition, we developed a new algorithm to locate the nucleotide modifications. The results show that the Bat and Pangolin coronaviruses were the most related to SARS-CoV-2 with 96% and 86% of identity all along the genome. Within the S gene sequence, the Pangolin sequence presents local highest nucleotide identity. Those findings suggest genesis of SARS-Cov-2 through evolution from Bat and Pangolin strains. This study offers new ways to automatically characterize viruses.
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