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

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 <i>KIF1A</i> variant in the motor domain corresponds with a more severe disease, but not exclusively. Given the broad phenotypic spectrum associated with <i>KIF1A</i> 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.

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Publication Details

Journal
Frontiers in Medicine
Published
2026-01-08
DOI
https://doi.org/10.3389/fmed.2025.1704209
Citations
1
Primary Topic
Hereditary Neurological Disorders
Type
article
Field-Weighted Citation Impact
23.21

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article

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

Alena Musilová, Georg M. Stettner, Anita M. Rauch, Elea Galiart et al.
1 citations
Frontiers in Medicine
Hereditary Neurological Disorders
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article

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

Alena Musilová, Georg M. Stettner, Anita M. Rauch, Elea Galiart, Vladana Skutilová, Dagmar Grečmalová, Anna Pecková, Anna Uhrova Meszarosova, Konstantinos Kolokotronis, Katharina Steindl, Alena Takacsova, Benjamin Seidl, Dana Safka Brozkova, Eva Vlckova, Petra Lassuthova, Emilie Vyhnalkova
article en
1 citations

Abstract

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 <i>KIF1A</i> variant in the motor domain corresponds with a more severe disease, but not exclusively. Given the broad phenotypic spectrum associated with <i>KIF1A</i> 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.

Frontiers in MedicineVol. 12
University of Zurich (CH), Charles University (CZ), Masaryk University (CZ), University Hospital Ostrava (CZ), University Hospital in Motol (CZ), University Hospital Brno (CZ), Institut thématique Génétique, génomique et bioinformatique (FR), Krajská Zdravotní (CZ), University Children's Hospital Zurich (CH), University Hospital Hradec Králové (CZ)
Ministerstvo Zdravotnictví Ceské Republiky
Openalex Percentile: Top 3%
Hereditary Neurological Disorders
23.21
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