X-linked Mendelian susceptibility to mycobacterial diseases due to CYBB deficiency: genes and variants

X-linked Mendelian susceptibility to mycobacterial diseases due to CYBB deficiency is linked to 1 analyzed protein (CYBB). 3 DNA variants are known to cause it; 5 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 X-linked Mendelian susceptibility to mycobacterial diseases due to CYBB deficiency

Known disease-causing variants in X-linked Mendelian susceptibility to mycobacterial diseases due to CYBB deficiency

VariantPositionProtein partClinical label
CYBB G223L223Ferric oxidoreductaseDisease-causing (★)
CYBB T178P178Ferric oxidoreductaseDisease-causing
CYBB Q231P231Ferric oxidoreductaseDisease-causing

Same protein, different disease

Diseases related to X-linked Mendelian susceptibility to mycobacterial diseases due to CYBB deficiency

Frequently asked questions

Which genes are linked to X-linked Mendelian susceptibility to mycobacterial diseases due to CYBB deficiency?

In CATVariant, X-linked Mendelian susceptibility to mycobacterial diseases due to CYBB deficiency is linked to 1 analyzed protein: CYBB (NADPH oxidase 2).

How many genetic variants are linked to X-linked Mendelian susceptibility to mycobacterial diseases due to CYBB deficiency?

9 variants: 3 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 5 are of uncertain significance or have conflicting reports.

Which uncertain variants in X-linked Mendelian susceptibility to mycobacterial diseases due to CYBB deficiency look disease-causing?

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

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.

Download every variant as CSV · Browse all diseases · Methods · About the Center