Epilepsy with myoclonic atonic seizures: genes and variants

Epilepsy with myoclonic atonic seizures is linked to 1 analyzed protein (SLC6A1). 55 DNA variants are known to cause it; 213 more are uncertain, and 6 of those already look disease-causing on computable evidence.

Last updated 2026-09-30. Research information, not medical advice.

Genes linked to Epilepsy with myoclonic atonic seizures

Where Epilepsy with myoclonic atonic seizures variants cluster

Known disease-causing variants in Epilepsy with myoclonic atonic seizures

VariantPositionProtein partClinical label
SLC6A1 A288V288ExtracellularDisease-causing (★★)
SLC6A1 A334T334TransmembraneDisease-causing (★★)
SLC6A1 G75E75ExtracellularDisease-causing (★★)
SLC6A1 G75R75ExtracellularDisease-causing (★★)
SLC6A1 A334P334TransmembraneDisease-causing (★★)
SLC6A1 R44W44CytoplasmicDisease-causing (★★)
SLC6A1 A357E357ExtracellularDisease-causing (★★)
SLC6A1 G443D443ExtracellularDisease-causing (★★)
SLC6A1 R44Q44CytoplasmicDisease-causing (★★)
SLC6A1 A357V357ExtracellularDisease-causing (★★)
SLC6A1 G111R111CytoplasmicDisease-causing (★★)
SLC6A1 G307R307TransmembraneDisease-causing (★★)
SLC6A1 V511M511TransmembraneDisease-causing (★★)
SLC6A1 G79R79ExtracellularDisease-causing (★★)
SLC6A1 G94E94TransmembraneDisease-causing (★★)
SLC6A1 Q106R106CytoplasmicDisease-causing (★★)
SLC6A1 V125M125TransmembraneDisease-causing (★★)
SLC6A1 F270S270ExtracellularDisease-causing (★★)
SLC6A1 G297R297TransmembraneDisease-causing (★★)
SLC6A1 G362R362ExtracellularDisease-causing (★★)
SLC6A1 S459R459TransmembraneDisease-causing (★★)
SLC6A1 G550R550TransmembraneDisease-causing (★★)
SLC6A1 V342M342TransmembraneDisease-causing (★★)
SLC6A1 G75W75ExtracellularDisease-causing (★)
SLC6A1 A288T288ExtracellularDisease-causing (★)
SLC6A1 S331G331TransmembraneDisease-causing (★)
SLC6A1 M487T487CytoplasmicDisease-causing (★)
SLC6A1 V511L511TransmembraneDisease-causing (★)
SLC6A1 G533R533ExtracellularDisease-causing (★)
SLC6A1 G533D533ExtracellularDisease-causing (★)
SLC6A1 G124S124TransmembraneDisease-causing (★)
SLC6A1 M487V487CytoplasmicDisease-causing (★)
SLC6A1 Y86H86TransmembraneDisease-causing (★)
SLC6A1 L269P269ExtracellularDisease-causing (★)
SLC6A1 I338F338TransmembraneDisease-causing (★)
SLC6A1 A367T367ExtracellularDisease-causing (★)
SLC6A1 L408R408CytoplasmicDisease-causing (★)
SLC6A1 L436H436TransmembraneDisease-causing (★)
SLC6A1 S456R456ExtracellularDisease-causing (★)
SLC6A1 C499R499TransmembraneDisease-causing (★)
SLC6A1 P505T505TransmembraneDisease-causing (★)
SLC6A1 E101A101CytoplasmicDisease-causing (★)
SLC6A1 S145F145ExtracellularDisease-causing (★)
SLC6A1 C173Y173ExtracellularDisease-causing (★)
SLC6A1 P247S247TransmembraneDisease-causing (★)
SLC6A1 G299V299TransmembraneDisease-causing (★)
SLC6A1 A305V305TransmembraneDisease-causing (★)
SLC6A1 L366P366ExtracellularDisease-causing (★)
SLC6A1 F386S386TransmembraneDisease-causing (★)
SLC6A1 T400I400CytoplasmicDisease-causing (★)
SLC6A1 R50L50CytoplasmicDisease-causing (★)
SLC6A1 V67I67TransmembraneDisease-causing (★)
SLC6A1 G78C78ExtracellularDisease-causing
SLC6A1 Y60S60TransmembraneDisease-causing
SLC6A1 L279P279ExtracellularDisease-causing

Uncertain variants in Epilepsy with myoclonic atonic seizures that look disease-causing

VariantPositionProtein partClinical labelEvidence
SLC6A1 A334S334TransmembraneConflicting reports (★)+6: 3 other pathogenic changes within 3 positions; A334P at the same position is pathogenic; not seen in the gnomAD population database; AlphaMissense 1.00
SLC6A1 S456C456ExtracellularConflicting reports (★)+6: 2 other pathogenic changes within 3 positions; S456R at the same position is pathogenic; not seen in the gnomAD population database; AlphaMissense 0.95
SLC6A1 A305T305TransmembraneConflicting reports (★)+6: 2 other pathogenic changes within 3 positions; A305V at the same position is pathogenic; seen in 2e-06 of gnomAD DNA copies; REVEL 0.725
SLC6A1 R44P44CytoplasmicUncertain (★)+6: 2 other pathogenic changes within 3 positions; R44Q at the same position is pathogenic; not seen in the gnomAD population database; AlphaMissense 0.99
SLC6A1 G297V297TransmembraneUncertain (★)+6: 2 other pathogenic changes within 3 positions; G297R at the same position is pathogenic; not seen in the gnomAD population database; AlphaMissense 1.00
SLC6A1 M487I487CytoplasmicUncertain (★)+6: 2 other pathogenic changes within 3 positions; M487T at the same position is pathogenic; not seen in the gnomAD population database; AlphaMissense 1.00

Which prediction tools work for Epilepsy with myoclonic atonic seizures

How often each tool ranks a disease-causing variant above a harmless one (AUROC × 100).

Diseases related to Epilepsy with myoclonic atonic seizures

Frequently asked questions

Which genes are linked to Epilepsy with myoclonic atonic seizures?

In CATVariant, Epilepsy with myoclonic atonic seizures is linked to 1 analyzed protein: SLC6A1 (Sodium- and chloride-dependent GABA transporter 1).

How many genetic variants are linked to Epilepsy with myoclonic atonic seizures?

351 variants: 55 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 213 are of uncertain significance or have conflicting reports.

Which uncertain variants in Epilepsy with myoclonic atonic seizures look disease-causing?

6 uncertain variants reach the likely-pathogenic range of the ACMG/AMP points scale on computable evidence, for example SLC6A1 A334S, SLC6A1 S456C, SLC6A1 A305T, SLC6A1 R44P and SLC6A1 G297V. These are leads for expert review, not diagnoses.

Which variant effect predictor works best for Epilepsy with myoclonic atonic seizures?

Among tools not trained on clinical labels, CADD separates this disease's known disease-causing variants from harmless ones best (AUROC 0.93, based on 13 disease-causing and 44 harmless variants).

About this data

Variant–disease links come from ClinVar, Open Targets and UniProt, pooled from the latest public CATVariant analysis of each human protein. Evidence scores use the ACMG/AMP Bayesian points scale with computable criteria only (position among known disease variants, rarity in gnomAD, calibrated predictors, deep mutational scanning); there is no family or patient data, so they prioritise variants for expert review and never classify them.

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