Juvenile myelomonocytic leukemia: genes and variants

Juvenile myelomonocytic leukemia is linked to 5 analyzed proteins (PTPN11, NF1, CBL, NRAS and KRAS). 9 DNA variants are known to cause it; 130 more are uncertain, and 0 of those already look disease-causing on computable evidence.

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

Genes linked to Juvenile myelomonocytic leukemia

Weakly linked (only a few uncertain records): ASXL1.

Where Juvenile myelomonocytic leukemia variants cluster

Known disease-causing variants in Juvenile myelomonocytic leukemia

VariantPositionProtein partClinical label
CBL Y371S371LinkerDisease-causing (★★)
CBL Y371H371LinkerDisease-causing (★★)
PTPN11 D61G61SH2 1Disease-causing (★★)
PTPN11 G268S268Tyrosine-protein phosphataseDisease-causing (★★)
PTPN11 G503E503Tyrosine-protein phosphataseDisease-causing (★★)
PTPN11 S502T502Tyrosine-protein phosphataseDisease-causing (★★)
NF1 M1I1Disease-causing (★★)
NF1 V917D917Disease-causing (★★)
PTPN11 P491A491Tyrosine-protein phosphataseDisease-causing (★★)

Which prediction tools work for Juvenile myelomonocytic leukemia

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

Same protein, different disease

Diseases related to Juvenile myelomonocytic leukemia

Frequently asked questions

Which genes are linked to Juvenile myelomonocytic leukemia?

In CATVariant, Juvenile myelomonocytic leukemia is linked to 5 analyzed proteins: PTPN11 (Tyrosine-protein phosphatase non-receptor type 11), NF1 (Neurofibromin), CBL (E3 ubiquitin-protein ligase CBL), NRAS (GTPase NRas) and KRAS (GTPase KRas).

How many genetic variants are linked to Juvenile myelomonocytic leukemia?

159 variants: 9 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 130 are of uncertain significance or have conflicting reports.

Which uncertain variants in Juvenile myelomonocytic leukemia look disease-causing?

None of the uncertain variants currently reaches the likely-pathogenic range on computable evidence alone.

Which variant effect predictor works best for Juvenile myelomonocytic leukemia?

Among tools not trained on clinical labels, SIFT separates this disease's known disease-causing variants from harmless ones best (AUROC 0.79, based on 8 disease-causing and 251 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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