Litcius/Paper detail

Recognition of maturity‐onset diabetes of the young in China

Hua Liang, Yanan Zhang, Maixinyue Li, Jinhua Yan, Daizhi Yang, Sihui Luo, Xueying Zheng, Guoqing Yang, Zhuo Li, Wen Xu, Leif Groop, Jianping Weng

2020Journal of Diabetes Investigation32 citationsDOIOpen Access PDF

Abstract

AIMS/INTRODUCTION: Given that mutations related to maturity-onset diabetes of the young (MODY) are rarely found in Chinese populations, we aim to characterize the mutation spectrum of MODY pedigrees. MATERIALS AND METHODS: Maturity-onset diabetes of the young candidate gene- or exome-targeted capture sequencing was carried out in 76 probands from unrelated families fulfilling the clinical diagnostic criteria for MODY. MAF <0.01 in the GnomAD or ExAC database was used to filter significant variants. Sanger sequencing was then carried out to validate findings. Function prediction by SIFT, PolyPhen-2 and PROVEAN or CADD was carried out in missense mutations. RESULTS: A total of 32 mutations in six genes were identified in 31 families, accounting for 40.79% of the potential MODY families. The MODY subtype detection rate was 18.42% for GCK, 15.79% for HNF1A, 2.63% for HNF4A, and 1.32% for KLF11, PAX4 and NEUROG3. Seven nonsense/frameshift mutations and four missense mutations with damaging prediction were newly identified novel mutations. The clinical features of MODY2, MODY3/1 and MODYX are similar to previous reports. Clinical phenotype of NEUROG3 p.Arg55Glufs*23 is characterized by hyperglycemia and mild intermittent abdominal pain. CONCLUSIONS: This study adds to the emerging pattern of MODY epidemiology that the proportion of MODY explained by known pathogenic genes is higher than that previously reported, and found NEUROG3 as a new causative gene for MODY.

Topics & Concepts

Maturity onset diabetes of the youngMissense mutationHNF1ASanger sequencingMedicineExome sequencingGeneticsProbandNonsense mutationFrameshift mutationDiabetes mellitusMutationGeneBiologyEndocrinologyPancreatic function and diabetesGenomics and Rare DiseasesGenetic Associations and Epidemiology