Molecular diagnosis of Kallmann syndrome with diabetes by whole exome sequencing and bioinformatic approaches

Abstract

Background: Kallmann syndrome (KS) is a hypogonadotropic hypogonadism accompanied by anosmia or hyposmia. It is associated with the low secretion of gonadotropins which can lead to other abnormal endocrine metabolism disorders such as diabetes. Through genetic and molecular biological methods, more than 10 KS pathogenic genes have been found.

Aim: To identify the existing mutation sites of KS with diabetes and reveal the relationship between genotype and phenotype.

Methods: We studied KS pathogenesis through high-throughput exome sequencing on four diabetes' patients with KS for screening the potential pathogenic sites and exploring the genotype-phenotype correlation. Clinical data and peripheral blood samples were collected from the patients. White blood cells were separated and genomic DNA was extracted. High-throughput sequencing of all exons in the candidate pathogenic genes of probands was performed, and the results obtained were analyzed.

Results: Sequencing revealed mutations in the KLB p.T313M, ANOS1 p.C172F, and IGSF10 gene (p.Lys1819Arg and p.Arg1035Thr) at different sites, which may have been associated with disease onset.

Conclusion: The diagnosis of KS is challenging, especially in early puberty, and the clinical manifestations reflect physical delays in development and puberty. Timely diagnosis and treatment can induce puberty, thereby improving sexual, bone, metabolic and mental health.

Keywords: ANOS1; Bioinformatics analysis; Diabetes; IGSF10; KLB; Kallmann syndrome; Whole-exome sequencing.