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Updated: Jul 17, 2025

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
Published on: January 16, 2019
SLC6A1 variant pathogenicity, molecular function and phenotype: a genetic and clinical analysis.
Arthur Stefanski1, Eduardo Pérez-Palma2, Tobias Brünger3
1Genomic Medicine Institute and Epilepsy Center, Cleveland Clinic, Cleveland, OH 44195, USA.
Genetic variants in SLC6A1 impact protein function, leading to diverse disease phenotypes. This study links variant locations on the GAT1 structure to pathogenicity, function, and disease severity in SLC6A1 disorders.
Area of Science:
- Genetics
- Neuroscience
- Structural Biology
Background:
- Genetic variants in the SLC6A1 gene are associated with a wide range of phenotypes due to altered protein function.
- Understanding genotype-phenotype correlations is crucial for elucidating disease mechanisms and guiding therapeutic strategies for SLC6A1-related disorders.
Purpose of the Study:
- To systematically curate and analyze genotype-phenotype and functional data for SLC6A1 variants.
- To explore the relationship between variant positions on the GAT1 3D structure, variant pathogenicity, molecular function, and clinical phenotype severity.
Main Methods:
- Aggregated genetic and clinical data from 172 individuals with likely pathogenic/pathogenic (lp/p) SLC6A1 variants.
- Utilized bioinformatic approaches to analyze variant associations with the GAT1 3D structure, including transmembrane domains and extracellular loops.
- Assessed in vitro GAT1 transporter activity for functional variant characterization.
Main Results:
- Specific GAT1 structural regions (transmembrane domains 1, 6, and extracellular loop 4) were enriched for patient variants.
- Spatial proximity of missense variants to the ligand binding site correlated with loss-of-function in GAT1 transporter activity.
- Variants causing complete loss of in vitro GABA uptake showed a significant enrichment in patients with severe disease phenotypes.
Conclusions:
- Established associations between 3D GAT1 structure, variant pathogenicity, functional impact, and phenotype severity in SLC6A1-related disorders.
- The findings support biology-informed variant interpretation and advance research into GAT1 transporter function.
- An interactive SLC6A1 portal is available for data exploration.
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