Insulin receptor variants: Extending the traditional Mendelian spectrum.

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, and Donohue syndromes. However, to our knowledge, 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 6 countries. Variants were classified using new bioinformatic tools relying on different prediction mechanisms and the American College of Medical Genetics and Genomics guidelines.

Results

Besides expanding the INSR mutational spectrum, this study suggested a semidominant inheritance in several Donohue/Rabson-Mendenhall syndrome 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 (odds ratio 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.

Copyright © 2025. Published by Elsevier Inc.

Overview publication

TitleInsulin receptor variants: Extending the traditional Mendelian spectrum.
Date2025-03-13
Issue nameGenetics in medicine : official journal of the American College of Medical Genetics
Issue numberv27.6:101404
DOI10.1016/j.gim.2025.101404
PubMed40094207
AuthorsCollin-Chavagnac D, Saint-Martin C, Bedidi L, Lebreton L, Aslanzadeh V, Vigouroux C, Bellanné-Chantelot C, Semple RK, Lascols O & Jéru I
KeywordsBioinformatics, Classification, INSR, Insulin resistance, Variant
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