Phenotypic features, prevalence of KCNJ11-MODY in Chinese patients with early-onset diabetes and a literature review


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Phenotypic features, prevalence of KCNJ11-MODY in Chinese patients with early-onset diabetes and a literature review

Objective: Gain-of-function (GOF) variants of KCNJ11 cause neonate diabetes and maturity-onset diabetes of the young (KCNJ11-MODY), while loss-of-function (LOF) variants lead to hyperinsulinemia hypoglycemia and subsequent diabetes. Given the limited research of KCNJ11-MODY, we aimed to analyse its phenotypic features and prevalence in Chinese patients with early-onset type 2 diabetes (EOD). Design, Patients and Measurements: We performed next-generation sequencing on 679 Chinese EOD patients to screen for KCNJ11 exons variants. Bioinformatics prediction and the American College of Medical Genetics and Genomics guidelines was used to determine the pathogenicity and diagnosed KCNJ11-MODY. A literature review was conducted to investigate the phenotypic features of KCNJ11-MODY.

Results: We identified six predicted deleterious rare variants in six EOD patients (0.88%). They were classified as uncertain significance (variant of uncertain significance [VUS]) , but more common in this EOD cohort than a general Chinese population database, however, without significant difference (53/10,588, 0.50%) (p =.268). Among 80 previously reported patients with KCNJ11-MODY, 23.8% (19/80) carried 9 (32.1%) LOF variants, who had significantly older age at diagnosis, higher birthweight and higher fasting C-peptide compared to patients with GOF variants. Many patients carrying VUS were not correctly diagnosed. Conclusions: Some rare variants of KCNJ11 might contribute to the development of Chinese EOD, although available evidence has not enough power to support them as cause of KCNJ11-MODY. The clinical features of LOF variants were different from GOF variants in KCNJ11-MODY patients. It is necessary to evaluate the pathogenicity of VUS through function experiments. © 2024 John Wiley & Sons Ltd.

Authors : Ba T.; Ren Q.; Gong S.; Li M.; Cai X.; Liu W.; Luo Y.; Zhang S.; Zhang R.; Zhou L.; Zhu Y.; Zhang X.; Chen J.; Wu J.; Zhou X.; Li Y.; Wang X.; Wang F.; Zhong L.; Han X.; Ji L.

Source : John Wiley and Sons Inc

Article Information

Year 2024
Type Article
DOI 10.1111/cen.15126
ISSN 03000664
Volume 101

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