Sign in
Genetic & Genomic MedicineGenetics in Medicine
Peer-reviewed journal article

Heterogeneity of comprehensive clinical phenotype and longitudinal adaptive function and correlation with computational predictions of severity of missense genotypes in KIF1A-associated neurological disorder

Khemika Khemakanok SudnawaiD, Wenxing LiiD, Sean Calamia, Cara H. KanneriD, Jennifer BainiD, Aliaa H. AbdelhakimiD, Alexa GeltzeileriD, Caroline M. MebaneiD, Frank A. ProvenzanoiD, Tristan T. SandsiD, Robert J. FeeiD, Jacqueline MontesiD, Yufeng SheniD, Wendy K. ChungiD

Abstract

PurposePathogenic variants in Kinesin Family Member 1A (KIF1A) are associated with KIF1A-associated neurological disorder (KAND). We report the clinical phenotypes and correlate genotypes of individuals with KAND. MethodsMedical history and adaptive function were assessed longitudinally. In-person evaluations included neurological, motor, ophthalmologic and cognitive assessments. ResultsWe collected online data on 177 individuals. Fifty-seven individuals were also assessed in-person. Most individuals had de novo heterozygous missense likely pathogenic/pathogenic KIF1A variants. The most common characteristics were hypotonia, spasticity, ataxia, seizures, optic nerve atrophy, cerebellar atrophy, and cognitive impairment. Mean Vineland Adaptive Behavior Composite score (VABS-ABC) was low (M=62.9, SD=19.1). The mean change in VABS-ABC over time was -3.1 (SD=7.3). The decline in VABS-ABC was associated with the age at first assessment and abnormal electroencephalogram/seizure. There was a positive correlation between Evolutionary Scale Model (ESM) score for the variants and final VABS-ABC (p=0.003). Abnormal electroencephalogram/seizure, neuroimaging result, and ESM explain 34% of the variance in final VABS-ABC (p<0.001). ConclusionIn-person assessment confirmed caregiver report and identified additional visual deficits. Adaptive function declined over time consistent with both the neurodevelopmental and neurodegenerative nature of the condition. Using ESM score assists in predicting phenotype across a wide range of unique variants.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers
Citations
15
FWCI
3.97
Field percentile
top 5%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISBoyle '21Anazawa '21Rao '25Aiken '26Happ '22Sarino '24
75% semantic matchGenetic & Genomic Medicine
Lia Boyle, Lu Rao, Simranpreet Kaur+10 more·Human Genetics and Genomics Advances·Jan 30, 2021· 84 citations