Delphine Collin-Chavagnac, Cécile Saint-Martin, Lotfi Bedidi, Louis Lebreton, Vahid Aslanzadeh, Corinne Vigouroux, Christine Bellanné-Chantelot, Robert K Semple, Olivier Lascols, Isabelle Jéru
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引用次数: 0
Abstract
Purpose: INSR encodes the insulin receptor, the essential entrainer of growth and metabolism to nutritional cues. INSR variants cause a spectrum of monogenic insulin resistance (IR) syndromes, namely type A insulin resistance, Rabson-Mendenhall (RMS), and Donohue (DS) syndromes. However, no large cohort studies focused on variant classification and its diagnostic value have been described.
Methods: This multicentric cohort study included 73 patients carrying INSR variants, referred for IR by 52 centers from six countries. Variants were classified using new bioinformatic tools relying on different prediction mechanisms, and the American College of Medical Genetics and Genomics (ACMG) guidelines.
Results: Besides expanding the INSR mutational spectrum, this study suggested a semi-dominant inheritance in several DS/RMS families. Questioning strictly Mendelian inheritance, heterozygous loss-of-function (LoF) variants were mostly found in overweight patients, with a higher LoF frequency in IR patients than in the general population (OR: 5.77). Diagnostic challenges arose when trying to refine classification criteria for variants of uncertain significance. Among the variant effect predictors assessed, MISTIC and AlphaMissense outperformed REVEL.
Conclusion: The spectrum of INSR-related disorders extends beyond traditional entities. Heterozygous INSR LoF variants may increase IR susceptibility. International collaboration and functional assays are needed to drive precision medicine forward.
期刊介绍:
Genetics in Medicine (GIM) is the official journal of the American College of Medical Genetics and Genomics. The journal''s mission is to enhance the knowledge, understanding, and practice of medical genetics and genomics through publications in clinical and laboratory genetics and genomics, including ethical, legal, and social issues as well as public health.
GIM encourages research that combats racism, includes diverse populations and is written by authors from diverse and underrepresented backgrounds.