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Abstract
Inborn errors of immunity (IEI) are a heterogeneous group of monogenic disorders that include primary immunodeficiency’s and other disorders affecting different aspects of the immune system. Next-Generation Sequencing (NGS) is an essential tool to diagnose IEI. We report our 3-year experience in setting up facilities for NGS for diagnosis of IEI in Chandigarh, North India. We used a targeted, customized gene panel of 44 genes known to result in IEI. Variant analysis was done using Ion Reporter software. The in-house NGS has enabled us to offer genetic diagnoses to patients with IEI at minimal costs. Of 121 patients who were included pathogenic variants were identified in 77 patients. These included patients with Chronic Granulomatous Disease, Severe Combined Immune Deficiency, leukocyte adhesion defect, X-linked agammaglobulinemia, Ataxia Telangiectasia, Hyper-IgE syndrome, Wiskott Aldrich syndrome, Mendelian susceptibility to mycobacterial diseases, Hyper-IgM syndrome, autoimmune lymphoproliferative syndrome, and GATA-2 deficiency. This manuscript discusses the challenges encountered while setting up and running targeted NGS for IEI in our unit. Genetic diagnosis has helped our patients with IEI in genetic counselling, prenatal diagnosis, and accessing appropriate therapeutic options.
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Details
1 Post Graduate Institute of Medical Education and Research, Allergy Immunology Unit, Department of Pediatrics, Advanced Pediatrics Centre, Chandigarh, India (GRID:grid.415131.3) (ISNI:0000 0004 1767 2903)
2 The University of Hong Kong, Department of Paediatrics and Adolescent Medicine, LKS Faculty of Medicine, Hong Kong, China (GRID:grid.194645.b) (ISNI:0000000121742757)
3 Tokyo Medical and Dental University, National Defence Medical College, Department of Pediatric, Perinatal and Maternal Medicine, Tokyo, Japan (GRID:grid.265073.5) (ISNI:0000 0001 1014 9130)
4 National Institute of Allergy and Infectious Diseases, National Institutes of Health, Laboratory of Immune System Biology, Bethesda, USA (GRID:grid.419681.3) (ISNI:0000 0001 2164 9667)