STAT3 gain of function: genes and variants

STAT3 gain of function is linked to 1 analyzed protein (STAT3). 49 DNA variants are known to cause it; 167 more are uncertain, and 2 of those already look disease-causing on computable evidence.

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

Genes linked to STAT3 gain of function

Where STAT3 gain of function variants cluster

Known disease-causing variants in STAT3 gain of function

VariantPositionProtein partClinical label
STAT3 R382W382Disease-causing (★★)
STAT3 R382Q382Disease-causing (★★)
STAT3 F621L621SH2Disease-causing (★★)
STAT3 V637M637SH2Disease-causing (★★)
STAT3 L706P706Disease-causing (★★)
STAT3 R278C278Disease-causing (★★)
STAT3 G421R421Disease-causing (★★)
STAT3 R423Q423Disease-causing (★★)
STAT3 Y657C657SH2Disease-causing (★★)
STAT3 I659N659SH2Disease-causing (★★)
STAT3 M660T660SH2Disease-causing (★★)
STAT3 K709E709Disease-causing (★★)
STAT3 P715L715Disease-causing (★★)
STAT3 R152W152Essential for nuclear importDisease-causing (★★)
STAT3 H332Y332Disease-causing (★★)
STAT3 R335W335Disease-causing (★★)
STAT3 T389A389Disease-causing (★★)
STAT3 N466T466Disease-causing (★★)
STAT3 E594K594SH2Disease-causing (★★)
STAT3 T716M716Disease-causing (★★)
STAT3 L673P673Disease-causing (★★)
STAT3 P695L695Disease-causing (★★)
STAT3 R382P382Disease-causing (★)
STAT3 F621V621SH2Disease-causing (★)
STAT3 S636F636SH2Disease-causing (★)
STAT3 S636Y636SH2Disease-causing (★)
STAT3 V637L637SH2Disease-causing (★)
STAT3 P639A639SH2Disease-causing (★)
STAT3 P639T639SH2Disease-causing (★)
STAT3 Y705H705Disease-causing (★)
STAT3 T714I714Disease-causing (★)
STAT3 T714K714Disease-causing (★)
STAT3 Y705C705Disease-causing (★)
STAT3 L706M706Disease-causing (★)
STAT3 R278H278Disease-causing (★)
STAT3 M394T394Disease-causing (★)
STAT3 M394I394Disease-causing (★)
STAT3 T622I622SH2Disease-causing (★)
STAT3 K642E642SH2Disease-causing (★)
STAT3 Y672C672Disease-causing (★)
STAT3 T620S620SH2Disease-causing (★)
STAT3 V713L713Disease-causing (★)
STAT3 R103W103Disease-causing (★)
STAT3 L287F287Disease-causing (★)
STAT3 M329K329Disease-causing (★)
STAT3 H410Y410Disease-causing (★)
STAT3 H437Q437Disease-causing (★)
STAT3 T600S600SH2Disease-causing (★)
STAT3 L645Q645SH2Disease-causing (★)

Uncertain variants in STAT3 gain of function that look disease-causing

VariantPositionProtein partClinical labelEvidence
STAT3 R335Q335Conflicting reports (★)+7: 2 other pathogenic changes within 3 positions; R335W at the same position is pathogenic; seen in 4.1e-06 of gnomAD DNA copies; REVEL 0.818
STAT3 G421E421Uncertain (★)+6: 2 other pathogenic changes within 3 positions; G421R at the same position is pathogenic; seen in 6.8e-07 of gnomAD DNA copies; REVEL 0.700

Which prediction tools work for STAT3 gain of function

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

Same protein, different disease

Diseases related to STAT3 gain of function

Frequently asked questions

Which genes are linked to STAT3 gain of function?

In CATVariant, STAT3 gain of function is linked to 1 analyzed protein: STAT3 (Signal transducer and activator of transcription 3).

How many genetic variants are linked to STAT3 gain of function?

246 variants: 49 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 167 are of uncertain significance or have conflicting reports.

Which uncertain variants in STAT3 gain of function look disease-causing?

2 uncertain variants reach the likely-pathogenic range of the ACMG/AMP points scale on computable evidence, for example STAT3 R335Q and STAT3 G421E. These are leads for expert review, not diagnoses.

Which variant effect predictor works best for STAT3 gain of function?

Among tools not trained on clinical labels, CADD separates this disease's known disease-causing variants from harmless ones best (AUROC 0.88, based on 8 disease-causing and 25 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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