The Usefulness of Inborn Errors of Immunity IUIS Categories for Designing Targeted NGS Diagnostic Panels: Experience as an Argentinian Public Referral Center for Molecular Diagnosis

Inborn errors of immunity (IEIs) are a heterogeneous group of disorders, genetically diverse but phenotypically overlapping. Over 500 IEI-related genes have been identified. Next generation sequencing (NGS) enables the simultaneous evaluation of a large number of genes in multiple patients in parallel. Since 2017, in our setting, custom IEI panels have been useful mainly for patients displaying clinical phenotypes of immune dysregulation and autoinflammatory disorders. Our aim is to evaluate the performance of targeted NGS panels based on International Union of Immunological Societies (IUIS) gene categories by examining how many patients achieved a conclusive diagnosis. A retrospective analysis was performed on 361 index cases submitted to four chronologically successive targeted NGS custom panels. The first panel included 124 IUIS genes, most of them related to autoimmune and immune dysregulation disease categories. The second panel contained 143 IUIS genes, including defects of innate immunity. The third and fourth, large panels covering 314 and 325 IUIS genes, respectively, included/comprised the majority of IUIS disease categories, with focus on autoinflammatory, immune dysregulation, and intrinsic immunity disease categories. From a total of 361 samples studied, 264 were referred due to clinical suspicion of immune dysregulation, autoinflammatory disease, or defects in innate immunity. Twenty-three percent of them (61/264) achieved a confirmed or highly probable genetic etiology. According to the main IEI IUIS disease categories included in targeted panels, immune dysregulation represented 26% (32/123) of these diagnoses, autoinflammatory disorders 21% (18/85), and defects in innate immunity 19% (11/56). In the remaining patients studied, 42% (41/97) of them achieved a conclusive diagnosis in others IEI IUIS disease categories. The NGS approach demonstrated the expected IEI diagnostic rate. The strategy of designing panels oriented toward IEI disease categories that present the greatest variability in clinical presentations with overlapping phenotypes proved to be effective regarding achievement of conclusive diagnoses in our cohort.