4 research outputs found

    A case for genomic medicine in South African paediatric patients with neuromuscular disease

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    DATA AVAILABILITY STATEMENT : The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.Paediatric neuromuscular diseases are under-recognised and under-diagnosed in Africa, especially those of genetic origin. This may be attributable to various factors, inclusive of socioeconomic barriers, high burden of communicable and non-communicable diseases, resource constraints, lack of expertise in specialised fields and paucity of genetic testing facilities and biobanks in the African population, making access to and interpretation of results more challenging. As new treatments become available that are effective for specific sub-phenotypes, it is even more important to confirm a genetic diagnosis for affected children to be eligible for drug trials and potential treatments. This perspective article aims to create awareness of the major neuromuscular diseases clinically diagnosed in the South African paediatric populations, as well as the current challenges and possible solutions. With this in mind, we introduce a multi-centred research platform (ICGNMD), which aims to address the limited knowledge on NMD aetiology and to improve genetic diagnostic capacities in South African and other African populations.The National Health Laboratory Services (NHLS) of South Africa; the South African Medical Research Council (SAMRC), The genetics of Neuromuscular Diseases in South African patient populations: the ICGNMD study as well as the National Research Foundation (NRF) of South Africa.https://www.frontiersin.org/journals/pediatricsam2023Paediatrics and Child Healt

    Factors associated with the severity of COVID-19 outcomes in people with neuromuscular diseases: Data from the International Neuromuscular COVID-19 Registry.

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    Neuromuscular disease genetics in underrepresented populations: increasing data diversity.

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