Early-infantile DEE: genes and variants

Early-infantile DEE is linked to 6 analyzed proteins (SCN1A, KCNQ2, SCN8A, STXBP1, HCN1 and CACNA2D2). 770 DNA variants are known to cause it; 2,333 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 Early-infantile DEE

Where Early-infantile DEE variants cluster

Known disease-causing variants in Early-infantile DEE

VariantPositionProtein partClinical label
HCN1 G391S391Segment S6Disease-causing (★★)
KCNQ2 A185T185ExtracellularDisease-causing (★★)
KCNQ2 A185S185ExtracellularDisease-causing (★★)
KCNQ2 R201C201Segment S4Disease-causing (★★)
KCNQ2 R207Q207Segment S4Disease-causing (★★)
KCNQ2 R207W207Segment S4Disease-causing (★★)
KCNQ2 R210C210Segment S4Disease-causing (★★)
KCNQ2 R210H210Segment S4Disease-causing (★★)
KCNQ2 R213W213Segment S4Disease-causing (★★)
KCNQ2 R213L213Segment S4Disease-causing (★★)
KCNQ2 R213Q213Segment S4Disease-causing (★★)
KCNQ2 R214W214Segment S4Disease-causing (★★)
KCNQ2 S223F223Mediates interaction with SLC5A3/SMIT1Disease-causing (★★)
KCNQ2 S229I229Segment S5Disease-causing (★★)
KCNQ2 A265T265Segment H5Disease-causing (★★)
KCNQ2 I278T278Selectivity filterDisease-causing (★★)
KCNQ2 A306V306Segment S6Disease-causing (★★)
KCNQ2 R333Q333Mediates interaction with calmodulinDisease-causing (★★)
KCNQ2 R333W333Mediates interaction with calmodulinDisease-causing (★★)
KCNQ2 R547W547CytoplasmicDisease-causing (★★)
KCNQ2 R560Q560CytoplasmicDisease-causing (★★)
KCNQ2 R560W560CytoplasmicDisease-causing (★★)
KCNQ2 G574S574CytoplasmicDisease-causing (★★)
KCNQ2 M578V578CytoplasmicDisease-causing (★★)
STXBP1 G544D544Disease-causing (★★)
STXBP1 G544V544Disease-causing (★★)
STXBP1 R551H551Disease-causing (★★)
STXBP1 R551L551Disease-causing (★★)
STXBP1 R551C551Disease-causing (★★)
KCNQ2 A193D193ExtracellularDisease-causing (★★)
KCNQ2 A193V193ExtracellularDisease-causing (★★)
KCNQ2 S195F195ExtracellularDisease-causing (★★)
KCNQ2 S195P195ExtracellularDisease-causing (★★)
KCNQ2 R198P198Segment S4Disease-causing (★★)
KCNQ2 R198Q198Segment S4Disease-causing (★★)
KCNQ2 R198W198Segment S4Disease-causing (★★)
KCNQ2 R201H201Segment S4Disease-causing (★★)
KCNQ2 I209S209Segment S4Disease-causing (★★)
KCNQ2 R210P210Segment S4Disease-causing (★★)
KCNQ2 R214Q214Segment S4Disease-causing (★★)
KCNQ2 T217I217CytoplasmicDisease-causing (★★)
KCNQ2 L243V243Segment S5Disease-causing (★★)
KCNQ2 S247L247Segment S5Disease-causing (★★)
KCNQ2 S247W247Segment S5Disease-causing (★★)
KCNQ2 V250L250Segment S5Disease-causing (★★)
KCNQ2 A265V265Segment H5Disease-causing (★★)
KCNQ2 A265P265Segment H5Disease-causing (★★)
KCNQ2 A265G265Segment H5Disease-causing (★★)
KCNQ2 D266G266Segment H5Disease-causing (★★)
KCNQ2 G271R271Segment H5Disease-causing (★★)
KCNQ2 G271S271Segment H5Disease-causing (★★)
KCNQ2 D282H282Selectivity filterDisease-causing (★★)
KCNQ2 D282N282Selectivity filterDisease-causing (★★)
KCNQ2 L292P292Segment S6Disease-causing (★★)
KCNQ2 A294E294Segment S6Disease-causing (★★)
KCNQ2 A294G294Segment S6Disease-causing (★★)
KCNQ2 A294V294Segment S6Disease-causing (★★)
KCNQ2 G301V301Segment S6Disease-causing (★★)
KCNQ2 G301S301Segment S6Disease-causing (★★)
KCNQ2 F305L305Segment S6Disease-causing (★★)

Showing 60 of 770.

Uncertain variants in Early-infantile DEE that look disease-causing

VariantPositionProtein partClinical labelEvidence
SCN8A R1626H1626IVConflicting reports (★)+6: 2 other pathogenic changes within 3 positions; R1626C at the same position is pathogenic; REVEL 0.951
HCN1 A387S387Segment S6Conflicting reports (★)+6: 3 other pathogenic changes within 3 positions; A387P at the same position is pathogenic; not seen in the gnomAD population database; AlphaMissense 1.00
STXBP1 R190Q190Conflicting reports (★)+6: 4 other pathogenic changes within 3 positions; R190W at the same position is pathogenic; not seen in the gnomAD population database; AlphaMissense 0.96
SCN8A R1872Q1872CytoplasmicUncertain (★)+6: 4 other pathogenic changes within 3 positions; R1872L at the same position is pathogenic; REVEL 0.929
KCNQ2 L307R307Segment S6Uncertain (★)+6: 10 other pathogenic changes within 3 positions; L307P at the same position is pathogenic; REVEL 0.930
KCNQ2 K552R552CytoplasmicUncertain (★)+6: 5 other pathogenic changes within 3 positions; K552N at the same position is pathogenic; REVEL 0.832

Which prediction tools work for Early-infantile DEE

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

Same protein, different disease

Diseases related to Early-infantile DEE

Frequently asked questions

Which genes are linked to Early-infantile DEE?

In CATVariant, Early-infantile DEE is linked to 6 analyzed proteins: SCN1A (Sodium channel protein type 1 subunit alpha), KCNQ2 (Potassium voltage-gated channel subfamily KQT member 2), SCN8A (Sodium channel protein type 8 subunit alpha), STXBP1 (Syntaxin-binding protein 1), HCN1 (Potassium/sodium hyperpolarization-activated cyclic nucleotide-gated channel 1) and CACNA2D2 (Voltage-dependent calcium channel subunit alpha-2/delta-2).

How many genetic variants are linked to Early-infantile DEE?

3,336 variants: 770 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 2,333 are of uncertain significance or have conflicting reports.

Which uncertain variants in Early-infantile DEE look disease-causing?

6 uncertain variants reach the likely-pathogenic range of the ACMG/AMP points scale on computable evidence, for example SCN8A R1626H, HCN1 A387S, STXBP1 R190Q, SCN8A R1872Q and KCNQ2 L307R. These are leads for expert review, not diagnoses.

Which variant effect predictor works best for Early-infantile DEE?

Among tools not trained on clinical labels, AlphaMissense separates this disease's known disease-causing variants from harmless ones best (AUROC 0.88, based on 627 disease-causing and 84 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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