short QT syndrome type 3

disease
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Also known as KCNJ2 short QT syndromeshort QT syndrome 3short QT syndrome caused by mutation in KCNJ2SQT3

Summary

short QT syndrome type 3 (MONDO:0012314) is a disease caused by KCNJ2 (GenCC Strong), with 1 cohort gene.

At a glance

  • Causal gene: KCNJ2 (GenCC Strong)
  • Cohort genes: 1
  • ClinVar variants: 520

Clinical features

No curated clinical features (Orphanet) for this disease.

Identifiers

Disease identifiers

FieldValue
Canonical nameshort QT syndrome type 3
Mondo IDMONDO:0012314
MeSHC566504
OMIM609622
UMLSC1865018
MedGen400662
GARD0018635
Is cancer (heuristic)no

Also known as: KCNJ2 short QT syndrome · short QT syndrome 3 · short QT syndrome caused by mutation in KCNJ2 · short QT syndrome type 3 · SQT3

Data availability: 520 ClinVar variants · 3 GenCC gene-disease records.

Disease family

Classification path: disease › human disease › disease by body system or component › cardiovascular disorderheart disorderheart conduction diseaseshort QT syndromeshort QT syndrome type 3

Related subtypes (3): short QT syndrome type 1, short QT syndrome type 2, short QT syndrome 7

Genetics & variants

GWAS landscape

No GWAS associations recorded — common-variant (GWAS) studies don’t cover this disease (typical for Mendelian / rare diseases). See the curated gene cohort and Mendelian overlap below.

Variant details and genetic-evidence tiers

ClinVar germline variants

520 retrieved; paginated sample, class counts are floors:

249 uncertain significance, 123 likely benign, 63 conflicting classifications of pathogenicity, 30 pathogenic, 23 benign/likely benign, 14 benign, 11 likely pathogenic, 7 pathogenic/likely pathogenic

ClinVarVariant (HGVS)GeneClassificationReview
1480008NM_000891.3(KCNJ2):c.636G>A (p.Trp212Ter)KCNJ2Pathogeniccriteria provided, single submitter
190820NM_000891.3(KCNJ2):c.935G>A (p.Arg312His)KCNJ2Pathogenic/Likely pathogeniccriteria provided, multiple submitters, no conflicts
2020840NM_000891.3(KCNJ2):c.224C>A (p.Thr75Lys)KCNJ2Pathogeniccriteria provided, single submitter
2036326NM_000891.3(KCNJ2):c.232G>A (p.Asp78Asn)KCNJ2Pathogeniccriteria provided, single submitter
234729NM_000891.3(KCNJ2):c.902T>G (p.Met301Arg)KCNJ2Pathogeniccriteria provided, multiple submitters, no conflicts
2682647NM_000891.3(KCNJ2):c.902T>A (p.Met301Lys)KCNJ2Pathogenicno assertion criteria provided
3243061NC_000017.10:g.(?68166871)(68171602_?)delKCNJ2Pathogeniccriteria provided, single submitter
3755832NM_000891.3(KCNJ2):c.1044C>G (p.Tyr348Ter)KCNJ2Pathogeniccriteria provided, single submitter
403974NM_000891.3(KCNJ2):c.682C>T (p.Arg228Ter)KCNJ2Pathogeniccriteria provided, single submitter
463523NM_000891.3(KCNJ2):c.715G>T (p.Glu239Ter)KCNJ2Pathogeniccriteria provided, single submitter
4784294NM_000891.3(KCNJ2):c.351del (p.Glu118fs)KCNJ2Pathogeniccriteria provided, single submitter
519476NM_000891.3(KCNJ2):c.919A>G (p.Met307Val)KCNJ2Pathogenic/Likely pathogeniccriteria provided, multiple submitters, no conflicts
569363NM_000891.3(KCNJ2):c.1102del (p.Leu368fs)KCNJ2Pathogeniccriteria provided, single submitter
67560NM_000891.3(KCNJ2):c.200G>A (p.Arg67Gln)KCNJ2Pathogenic/Likely pathogeniccriteria provided, multiple submitters, no conflicts
67565NM_000891.3(KCNJ2):c.224C>T (p.Thr75Met)KCNJ2Pathogenic/Likely pathogeniccriteria provided, multiple submitters, no conflicts
67566NM_000891.3(KCNJ2):c.232G>T (p.Asp78Tyr)KCNJ2Pathogeniccriteria provided, single submitter
67568NM_000891.3(KCNJ2):c.244C>T (p.Arg82Trp)KCNJ2Pathogeniccriteria provided, multiple submitters, no conflicts
67569NM_000891.3(KCNJ2):c.245G>A (p.Arg82Gln)KCNJ2Pathogeniccriteria provided, multiple submitters, no conflicts
67573NM_000891.3(KCNJ2):c.430G>A (p.Gly144Ser)KCNJ2Pathogeniccriteria provided, multiple submitters, no conflicts
67574NM_000891.3(KCNJ2):c.431G>A (p.Gly144Asp)KCNJ2Pathogeniccriteria provided, multiple submitters, no conflicts
67575NM_000891.3(KCNJ2):c.431G>C (p.Gly144Ala)KCNJ2Pathogeniccriteria provided, multiple submitters, no conflicts
67576NM_000891.3(KCNJ2):c.436G>A (p.Gly146Ser)KCNJ2Pathogenic/Likely pathogeniccriteria provided, multiple submitters, no conflicts
67583NM_000891.3(KCNJ2):c.644G>A (p.Gly215Asp)KCNJ2Pathogeniccriteria provided, single submitter
67585NM_000891.3(KCNJ2):c.653G>A (p.Arg218Gln)KCNJ2Pathogeniccriteria provided, multiple submitters, no conflicts
67588NM_000891.3(KCNJ2):c.899G>A (p.Gly300Asp)KCNJ2Pathogeniccriteria provided, multiple submitters, no conflicts
67591NM_000891.3(KCNJ2):c.913A>G (p.Thr305Ala)KCNJ2Pathogeniccriteria provided, single submitter
67593NM_000891.3(KCNJ2):c.926C>T (p.Thr309Ile)KCNJ2Pathogeniccriteria provided, single submitter
67594NM_000891.3(KCNJ2):c.934C>T (p.Arg312Cys)KCNJ2Pathogenic/Likely pathogeniccriteria provided, multiple submitters, no conflicts
858285NM_000891.3(KCNJ2):c.434A>G (p.Tyr145Cys)KCNJ2Pathogeniccriteria provided, single submitter
8918NM_000891.3(KCNJ2):c.212A>T (p.Asp71Val)KCNJ2Pathogeniccriteria provided, single submitter

Genes & proteins

Mendelian disease overlap and somatic drivers

GenCC: 15 · Orphanet: 3 · OMIM-shared: 0 · Dual-evidence (GWAS+Mendelian): 0

GenCC gene–disease validity (cohort genes)

the Disease column is the GenCC-asserted condition — a cohort gene’s strongest validity may be for a related predisposition syndrome.

GeneClassificationInheritanceDiseaseRecords
KCNJ2StrongAutosomal dominantshort QT syndrome type 315

Orphanet rare-disease linkage (cohort genes)

GeneOrphanet IDRare disease
KCNJ2Orphanet:334Hereditary atrial fibrillation
KCNJ2Orphanet:37553Andersen-Tawil syndrome
KCNJ2Orphanet:51083Congenital short QT syndrome

Cohort genes → proteins

1 cohort genes, 1 distinct canonical proteins.

Evidence partition

SubsetGenes
multi_evidence1

Cohort genes (full)

SymbolHGNCEnsemblUniProtNameEvidence
KCNJ2HGNC:6263ENSG00000123700P63252Inward rectifier potassium channel 2gencc,clinvar

Cohort function summary

Lead sentence per gene, UniProt-curated.

SymbolProtein nameFunction (lead sentence)
KCNJ2Inward rectifier potassium channel 2Inward rectifier potassium channels are characterized by a greater tendency to allow potassium to flow into the cell rather than out of it.

Protein-family classification

Druggable: 1 · Difficult: 0 · Unknown: 0 · Druggable fraction: 1.0

Family distribution

Cohort families vs a genome-wide background (hypergeometric, BH-FDR; fold = observed/expected). Counts kept; sorted by enrichment, so the catch-all Other/Unknown bucket no longer leads.

FamilyGenesFoldFDR
Ion channel1111.5×0.009

Per-gene assignment

SymbolFamilyDruggable?ECInterPro (top 3)
KCNJ2Ion channelyesK_chnl_inward-rec_Kir2.1, K_chnl_inward-rec_Kir_cyto, K_chnl_inward-rec_Kir_N

Expression context

Cohort genes with no expression data: 0.

1 cohort gene are a single-cell marker in ≥1 SCXA experiment.

Breadth distribution (Bgee present_calls)

BucketGenes
narrow (1-5 tissues)0
moderate (6-20)0
broad (>20)1
unknown0

Top tissues across cohort

TissueCohort genes
dorsal motor nucleus of vagus nerve1
inferior vagus X ganglion1
skeletal muscle tissue of rectus abdominis1

Per-gene tissue summary (top 30)

SymbolBgee breadthFANTOM5 breadthSCXATop tissues
KCNJ2256ubiquitousmarkerinferior vagus X ganglion, skeletal muscle tissue of rectus abdominis, dorsal motor nucleus of vagus nerve

Protein interactions among cohort

Intra-cohort edges: 0.

Hub genes (top 10 by interactor count)

SymbolInteractor count
KCNJ265

Structural data

PDB: 1 · AlphaFold-only: 0 · No structure: 0

Cohort genes with PDB structures (top 30)

SymbolUniProtPDB entries
KCNJ2P632523

Function

Pathway analysis

Distinct Reactome pathways touched by cohort: 18. Enrichment computed across 1 evidence-associated genes (1 with Reactome annotation).

Pathways by enrichment

Over-representation of cohort genes vs the genome-wide background (hypergeometric test, Benjamini-Hochberg FDR; fold = observed/expected over 1 annotated cohort genes). Counts and members are kept as ground-truth; sorted by enrichment.

PathwayCohort genesFoldFDRSample cohort genes
Sensory perception of sour taste15710.0×0.003KCNJ2
Classical Kir channels12855.0×0.003KCNJ2
G protein gated Potassium channels11142.0×0.005KCNJ2
Inwardly rectifying K+ channels1713.8×0.005KCNJ2
Phase 4 - resting membrane potential1601.0×0.005KCNJ2
Activation of GABAB receptors1601.0×0.005KCNJ2
GABA B receptor activation1543.8×0.005KCNJ2
Activation of G protein gated Potassium channels1393.8×0.005KCNJ2
Inhibition of voltage gated Ca2+ channels via Gbeta/gamma subunits1393.8×0.005KCNJ2
Sensory perception of taste1335.9×0.005KCNJ2
GABA receptor activation1317.2×0.005KCNJ2
Potassium Channels1134.3×0.011KCNJ2
Cardiac conduction1108.8×0.013KCNJ2
Neurotransmitter receptors and postsynaptic signal transmission1100.2×0.013KCNJ2
Sensory Perception195.2×0.013KCNJ2
Muscle contraction177.2×0.014KCNJ2
Transmission across Chemical Synapses176.1×0.014KCNJ2
Neuronal System144.3×0.023KCNJ2

GO biological processes by enrichment

Over-representation of cohort genes vs the genome-wide background (hypergeometric test, Benjamini-Hochberg FDR; fold = observed/expected over 1 annotated cohort genes). Counts and members are kept as ground-truth; sorted by enrichment.

GO termCohort genesFoldFDRSample cohort genes
regulation of skeletal muscle contraction via regulation of action potential116852.0×0.001KCNJ2
relaxation of skeletal muscle15617.3×0.002KCNJ2
membrane repolarization during action potential11685.2×0.002KCNJ2
membrane repolarization during cardiac muscle cell action potential11685.2×0.002KCNJ2
membrane depolarization during cardiac muscle cell action potential11404.3×0.002KCNJ2
relaxation of cardiac muscle11296.3×0.002KCNJ2
regulation of resting membrane potential11296.3×0.002KCNJ2
regulation of membrane repolarization11296.3×0.002KCNJ2
magnesium ion transport11203.7×0.002KCNJ2
regulation of cardiac muscle cell contraction11123.5×0.002KCNJ2
intracellular potassium ion homeostasis1991.3×0.002KCNJ2
positive regulation of potassium ion transmembrane transport1991.3×0.002KCNJ2
regulation of monoatomic ion transmembrane transport1732.7×0.002KCNJ2
cardiac muscle cell action potential involved in contraction1702.2×0.002KCNJ2
regulation of heart rate by cardiac conduction1374.5×0.003KCNJ2
potassium ion import across plasma membrane1366.4×0.003KCNJ2
protein homotetramerization1237.3×0.005KCNJ2
cellular response to mechanical stimulus1216.1×0.005KCNJ2
potassium ion transport1191.5×0.005KCNJ2
potassium ion transmembrane transport1135.9×0.007KCNJ2

Therapeutics

Drug target analysis

Approved (phase 4): 0 · Phase ≥3: 0 · Phased (≥1): 0 · Undrugged: 1

Druggability breadth: 1 of 1 evidence-associated genes (100%) have a ChEMBL target (buckets above are over the deeply-mined display cohort).

Top cohort targets by molecule count

SymbolMoleculesMax phase
KCNJ200

Bioactivity and enzyme data

Enzyme cohort genes (≥1 EC): 0.

Cohort genes with ChEMBL bioactivity (full, sorted by assay count)

SymbolAssaysType breakdown
KCNJ231Binding:23, ADMET:8

Pharmacogenomics

Cohort genes with a PharmGKB record: 1; with CPIC/DPWG dosing guidelines: 0.

No cohort gene has a CPIC/DPWG genotype-guided dosing guideline (PharmGKB).

Chemical tractability of cohort targets

0 approved/phased compounds have measured bioactivity against a cohort gene (and aren’t yet in disease-level trials). This is a research / tractability signal, NOT a therapeutic recommendation — a bioactivity row often reflects off-target or screening binding (e.g. promiscuous kinase inhibitors against a cohort kinase), implying no disease mechanism.

Druggability pyramid

Cohort genes binned by druggability tier (high → low):

TierDefinitionGenesSymbols
AApproved (phase 4 drug)0
BPhased (≥1) drug, not yet approved0
CDruggable family + PDB, no drug1KCNJ2
DDruggable family + AlphaFold only, no drug0
EDifficult family or no structure, no drug0

Undrugged target profiles

1 cohort genes are undrugged. Ranked by ‘starting-point quality’ (assay depth + drugged-partner adjacency).

SymbolChEMBL assaysDrugged partners (top 3)
KCNJ231

Clinical trials & evidence

Clinical trials

Clinical trials: 0.