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논문 기본 정보

자료유형
학술저널
저자정보
Kim Man Jin (Department of Genomic Medicine Seoul National University Hospital Seoul KoreaRare Disease Center Seoul National University Hospital Seoul Korea) Kim Soo Yeon (Department of Genomic Medicine Seoul National University Hospital Seoul KoreaRare Disease Center Seoul National University Hospital Seoul Korea) Lee Jin Sook (Department of Pediatrics Department of Genome Medicine and Science Gil Medical Center Gachon University College of Medicine Incheon Korea) Kang Sanggoo (MedySapiens Inc. Seoul Korea) Park Lae-Jeong (Department of Electrical Engineering Gangneung-Wonju National University Gangneung Korea) Choi Wooyong (MedySapiens Inc. Seoul Korea) Jung Ju Yeol (MedySapiens Inc. Seoul Korea) Kim Taehyung (MedySapiens Inc. Seoul Korea) Park Sung Sup (Department of Laboratory Medicine Seoul National University Hospital Seoul National University College of Medicine Seoul Korea) Ko Jung Min (Rare Disease Center Seoul National University Hospital Seoul KoreaDepartment of Pediatrics Department of Genome Medicine and Science Gil Medical Center Gachon University College of Medicine Incheon Ko) Seong Moon-Woo (Department of Laboratory Medicine Seoul National University Hospital Seoul National University College of Medicine Seoul Korea) Chae Jong Hee (Department of Genomic Medicine Seoul National University Hospital Seoul KoreaRare Disease Center Seoul National University Hospital Seoul KoreaDepartment of Pediatrics Seoul National University Childr)
저널정보
대한진단검사의학회 Annals of Laboratory Medicine Annals of Laboratory Medicine 제43권 제3호
발행연도
2023.5
수록면
280 - 289 (10page)
DOI
10.3343/alm.2023.43.3.280

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Background: New genome sequencing technologies with enhanced diagnostic efficiency have emerged. Rapid and timely diagnosis of treatable rare genetic diseases can alter their medical management and clinical course. However, multiple factors, including ethical issues, must be considered. We designed a targeted sequencing platform to avoid ethical issues and reduce the turnaround time. Methods: We designed an automated sequencing platform using dried blood spot samples and a NEOseq_ACTION panel comprising 254 genes associated with Mendelian diseases having curable or manageable treatment options. Retrospective validation was performed using data from 24 genetically and biochemically confirmed patients. Prospective validation was performed using data from 111 patients with suspected actionable genetic diseases. Results: In prospective clinical validation, 13.5% patients presented with medically actionable diseases, including short- or medium-chain acyl-CoA dehydrogenase deficiencies (N=6), hyperphenylalaninemia (N=2), mucopolysaccharidosis type IVA (N=1), alpha thalassemia (N=1), 3-methylcrotonyl-CoA carboxylase 2 deficiency (N=1), propionic acidemia (N=1), glycogen storage disease, type IX(a) (N=1), congenital myasthenic syndrome (N=1), and citrullinemia, type II (N=1). Using the automated analytic pipeline, the turnaround time from blood collection to result reporting was <4 days. Conclusions: This pilot study evaluated the possibility of rapid and timely diagnosis of treatable rare genetic diseases using a panel designed by a multidisciplinary team. The automated analytic pipeline maximized the clinical utility of rapid targeted sequencing for medically actionable genes, providing a strategy for appropriate and timely treatment of rare genetic diseases.

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