Next Generation Sequencing of Acute Myeloid Leukemia: Influencing Prognosis |
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Authors: | Ilyas Asad Muhammad Ahmad Sultan Faheem Muhammad Naseer Muhammad Imran Kumosani Taha A Al-Qahtani Muhammad Hussain Gari Mamdooh Ahmed Farid |
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Affiliation: | 1.Center of Excellence in Genomic Medicine Research, King Abdulaziz University, Jeddah, KSA ;2.KACST Technology Innovation Center in Personalized Medicine, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia ;3.Department of Biochemistry, Faculty of Science, King Abdulaziz University, Jeddah, KSA ;4.King Fahd Medical Research Center, King Abdulaziz University, Jeddah, KSA ;5.Department of Pediatrics, Faculty of Medicine, King Abdulaziz University, Box 80215, Jeddah, 21589, Kingdom of Saudi Arabia ;6.Department of Obsttrics & Gynecology, King Abdulaziz University Jeddah, Kingdom of Saudi Arabia ; |
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Abstract: | Background Epilepsy is genetically complex neurological disorder affecting millions of people of different age groups varying in its type and severity. Copy number variants (CNVs) are key players in the genetic etiology of numerous neurodevelopmental disorders and prior findings also revealed that chromosomal aberrations are more susceptible against the pathogenesis of epilepsy. Novel technologies, such as array comparative genomic hybridization (array-CGH), may help to uncover the pathogenic CNVs in patients with epilepsy. ResultsThis study was carried out by high density whole genome array-CGH analysis with blood DNA samples from a cohort of 22 epilepsy patients to search for CNVs associated with epilepsy. Pathogenic rearrangements which include 6p12.1 microduplications in 5 patients covering a total region of 99.9kb and 7q32.3 microdeletions in 3 patients covering a total region of 63.9kb were detected. Two genes BMP5 and PODXL were located in the predicted duplicated and deleted regions respectively. Furthermore, these CNV findings were confirmed by qPCR. ConclusionWe have described, for the first time, several novel CNVs/genes implicated in epilepsy in the Saudi population. These findings enable us to better describe the genetic variations in epilepsy, and could provide a foundation for understanding the critical regions of the genome which might be involved in the development of epilepsy. |
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