Genotype–phenotype correlations in 18 European patients with heterozygous KIF1A variants: key considerations for assessing KIF1A variant causality

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Authors: Anna Uhrova Meszarosova, Elea Galiart, Petra Lassuthova, Konstantinos Kolokotronis, Benjamin Seidl, Alena Musilová, Anna Pecková, Alena Takacsova, Emilie Vyhnalkova, Dagmar Grečmalová, Eva Vlckova, Vladana Skutilová
+4 more Katharina Steindl, Anita Rauch, Georg M. Stettner, Dana Safka Brozkova
Cited by: 3
References: 38

Abstract

Background Variants in the KIF1A have been associated with a wide range of phenotypes. Most variants are found in the protein’s motor domain. The clinical phenotype of KIF1A -associated disorders (KAND) correlates with the position and the type of variant. Missense variants in the motor domain are predominantly associated with severe phenotypes and often occur de novo . Methods Patients from the Czech Republic and Switzerland were identified during DNA diagnostics for neuromuscular or neurodevelopmental disorders. Clinical and genetic data were analyzed retrospectively. Results A total of 18 patients with heterozygous KIF1A variants were reported. The clinical spectrum ranges from a very severe congenital phenotype to mild spastic paraplegia or early-onset slowly progressive neuropathy. Among patients with early clinical manifestation (n = 13; congenital symptoms, gross motor delay, complicated/pure spastic paraplegia, neuropathy), all detected variants were missense and localized in the motor domain, eight times confirmed to be de novo . In individuals with adult onset ( n = 5; all spastic paraplegia), a frameshift variant outside the motor domain was also detected in one case. Conclusion KAND phenotypes are not only limited to severe and early-onset phenotypes but also include adult-onset less severe ones. The localization of a missense KIF1A variant in the motor domain corresponds with a more severe disease, but not exclusively. Given the broad phenotypic spectrum associated with KIF1A variants, each variant should be individually evaluated for pathogenicity. Based on our findings, we propose a supporting algorithm outlining key considerations to support variant causality and the prediction of the associated phenotype.

Fields of Study & Subjects

Hereditary Neurological Disorders Neurogenetic and Muscular Disorders Research Genomics and Rare Diseases

Publication details

Journal / source
Frontiers in Medicine
Publisher
Frontiers Media SA
Volume
12
Pages
1704209–1704209
Publication date
8 January 2026
Language
EN