Autosomal dominant neurodevelopmental disorders associated with KIF1A gene variants in 6 pediatric patients

Jingqi Lin1, Niu Li2, Ru'en Yao3

  • 1Central Laboratory, International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China. lin_j7@sjtu.edu.cn.

Insights

KIF1A gene variations cause diverse neurodevelopmental disorders in children, primarily affecting motor development and gait. Severity varies by specific KIF1A mutation, with some new variants identified.

Area of Science:

  • Genetics
  • Neuroscience
  • Molecular Biology

Background:

  • Kinesin family member 1A (KIF1A) plays a crucial role in neuronal development and function.
  • Variations in KIF1A are associated with autosomal dominant neurodevelopmental disorders.
  • Understanding KIF1A mutations is key to diagnosing and managing these complex conditions.

Purpose of the Study:

  • To investigate the clinical manifestations and genetic underpinnings of KIF1A-related neurodevelopmental disorders in pediatric patients.
  • To identify and characterize novel KIF1A gene variations.
  • To analyze the impact of identified variants on KIF1A protein structure and function.

Main Methods:

  • Retrospective analysis of clinical and genetic data from 6 children diagnosed with KIF1A gene variations.
  • Whole exome sequencing for variant identification, confirmed by Sanger sequencing.
  • Bioinformatic analysis to predict the structural and functional consequences of KIF1A variants.

Main Results:

  • Six children (4 male, 2 female) aged 7 months to 18 years presented with motor developmental delay and gait abnormalities.
  • Two children exhibited delayed mental development, epilepsy, and abnormal eye development.
  • Four novel heterozygous de novo KIF1A variations (3 missense, 1 splicing) were identified, with bioinformatics predicting likely pathogenic effects on protein stability and function.

Conclusions:

  • KIF1A-associated neurological diseases present with significant clinical heterogeneity, predominantly featuring motor delay and gait issues.
  • Specific KIF1A mutations, such as T99M, are linked to more severe clinical phenotypes compared to others like R254Q.
  • This study highlights the importance of genetic analysis for diagnosing KIF1A-related disorders and identifies novel pathogenic variants.
Abstract

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