Optimising diagnosis in children with short stature: an integrated clinical and NGS approach

优化矮小症儿童的诊断:一种整合临床和NGS的方法

阅读:1

Abstract

Short stature (SS) is one of the most frequent reasons for referral to paediatric endocrinologists. Linear growth is a multifactorial process, with genetic variation representing the principal determinant of height differences. Between 2018 and 2022, 102 children referred to our clinic for growth failure were identified as having SS of unknown aetiology. The cohort comprised 57 children with idiopathic GH deficiency (GHD-SS) and 45 with idiopathic short stature (ISS). Children born small for gestational age and those with known genetic conditions were excluded. All patients underwent a single next-generation sequencing (NGS) analysis using a custom-designed targeted gene panel for SS. When variants were detected, segregation analysis was performed through parental testing. The overall diagnostic yield of NGS was 14.9%, with variants considered causative of the SS phenotype detected in 14.3% of GHD-SS patients and 15.6% of ISS patients. Detection rates were comparable between isolated GHD and combined pituitary hormone deficiency. Among ISS patients, a genetic diagnosis was achieved in 23.8% of familial cases and in 8.7% of sporadic cases. Variants of uncertain significance were identified in approximately half of the cohort. In conclusion, a first-line targeted NGS approach, applied in routine clinical practice to a carefully selected cohort of children with SS of unknown aetiology, demonstrated a competitive diagnostic yield. Accurate phenotypic assessment remains critical to improving the diagnostic performance of molecular testing and refining the aetiological evaluation of SS. Moreover, identification of the underlying genetic cause provides valuable insights for predicting clinical evolution and guiding therapeutic strategies.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。