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. 2023 Dec 1;146(12):5198-5208.
doi: 10.1093/brain/awad292.

SLC6A1 variant pathogenicity, molecular function and phenotype: a genetic and clinical analysis

Affiliations

SLC6A1 variant pathogenicity, molecular function and phenotype: a genetic and clinical analysis

Arthur Stefanski et al. Brain. .

Abstract

Genetic variants in the SLC6A1 gene can cause a broad phenotypic disease spectrum by altering the protein function. Thus, systematically curated clinically relevant genotype-phenotype associations are needed to understand the disease mechanism and improve therapeutic decision-making. We aggregated genetic and clinical data from 172 individuals with likely pathogenic/pathogenic (lp/p) SLC6A1 variants and functional data for 184 variants (14.1% lp/p). Clinical and functional data were available for a subset of 126 individuals. We explored the potential associations of variant positions on the GAT1 3D structure with variant pathogenicity, altered molecular function and phenotype severity using bioinformatic approaches. The GAT1 transmembrane domains 1, 6 and extracellular loop 4 (EL4) were enriched for patient over population variants. Across functionally tested missense variants (n = 156), the spatial proximity from the ligand was associated with loss-of-function in the GAT1 transporter activity. For variants with complete loss of in vitro GABA uptake, we found a 4.6-fold enrichment in patients having severe disease versus non-severe disease (P = 2.9 × 10-3, 95% confidence interval: 1.5-15.3). In summary, we delineated associations between the 3D structure and variant pathogenicity, variant function and phenotype in SLC6A1-related disorders. This knowledge supports biology-informed variant interpretation and research on GAT1 function. All our data can be interactively explored in the SLC6A1 portal (https://slc6a1-portal.broadinstitute.org/).

Keywords: SLC6A1; autism; epilepsy; genetics; neurodevelopmental disorder.

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Conflict of interest statement

D.L. consults for Encoded Therapeutics Inc., San Francisco, USA. A.W. and S.F. are employees of BioMarin Pharmaceutical and hold common stock. M.T. is a former BioMarin employee. E.B. is an employee of GeneDx, LLC. All other authors report no competing interests.

Figures

Figure 1
Figure 1
SLC6A1 portal: user interface and functionality (https://slc6a1-portal.broadinstitute.org/). Four main menu items hold different functionalities of the SLC6A1 portal. Basic information: key milestones in SLC6A1 research and summary statistics of the clinical information. Educational resources: resources, links to family advocacy groups and our in-house produced an animated whiteboard explainer video. Variant analysis: clinical significance according to ClinVar and comparative information on the selected variant with other similar variants. Research: visualizations of variant annotations, clinical phenotypes and functional data based on multiple filter options. Efforts to add more data to our online resource are motivated by an increased ability to understand the logic of structure to function to phenotype relations. Furthermore, easy access, the ability to explore the data and educational resources are additional features of our web portal. Given that very few clinicians and caregivers can collect data and perform bioinformatics analyses, the portal enables anyone with access to the internet to explore the data, understand and develop hypotheses.
Figure 2
Figure 2
Domain-wide analysis of patient and population variants. (A) The TM1/6, scaffold and EL4 regions harboured mainly variants with low activity, whereas the N-/C-terminal domain contained mostly variants with wild-type (WT) activity. The dotted line represents the cut-off that separates wild-type activity variants (>42.8% of wild-type activity) from low activity variants (<42.8% of wild-type activity). (B) A domain-wide comparison of patient versus population variants shows enrichment of patient variants in TM1/6 and EL4. The N- and C-terminal regions are depleted for patient variants. The dotted line represents a balance between patient and population variants. TM1/6 = transmembrane helix 1/6; TMD-other = transmembrane domain other; EL2/3/4 = extracellular loops 2/3/4; OR = odds ratio.
Figure 3
Figure 3
The spatial relation of SLC6A1 variants is associated with function and position within the GAT1 protein structure 3D structure (PDB id: 7SK2). (A) GAT1 3D structure colour-coded in red regions with nearly complete loss-of-function (LoF) variants (<10% of normalized wild-type activity) and in yellow regions with wild-type activity variants (>42.8% of normalized wild-type activity). (B) Side view of the GAT1 3D structure. SLC6A1 variants were categorized in the same three activity groups [0–10% (left), 10–42.8% (middle), > 42.8% (right)] and mapped onto the GAT1 3D structure. The variants with the lowest and medium average functional activity tend to be closer to the ligand, whereas variants with wild-type activity tend to face outwards. (C) Box plot showing the quantification of each variant’s distance (Å) from the ligand by the three activity groups. **Significant after Bonferroni multiple test correction; *Nominally significant; n.s. = not significant; WT = wild-type.

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