Afibrinogenemia: genes and variants

Afibrinogenemia is linked to 3 analyzed proteins (FGB, FGA and FGG). 9 DNA variants are known to cause it; 108 more are uncertain, and 0 of those already look disease-causing on computable evidence.

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

Also known as: congenital afibrinogenemia

Genes linked to Afibrinogenemia

Known disease-causing variants in Afibrinogenemia

VariantPositionProtein partClinical label
FGG R301H301Fibrinogen C-terminalDisease-causing (★★)
FGG R401W401Fibrinogen C-terminalDisease-causing (★★)
FGA R35C35Disease-causing (★★)
FGA E545V545Coiled coilDisease-causing (★★)
FGB A98T98Disease-causing (★)
FGB L202Q202Coiled coilDisease-causing
FGB G325A325Fibrinogen C-terminalDisease-causing
FGB L383R383Fibrinogen C-terminalDisease-causing
FGB G430D430Fibrinogen C-terminalDisease-causing

Which prediction tools work for Afibrinogenemia

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

Same protein, different disease

Diseases related to Afibrinogenemia

Frequently asked questions

Which genes are linked to Afibrinogenemia?

In CATVariant, Afibrinogenemia is linked to 3 analyzed proteins: FGB (Fibrinogen beta chain), FGA (Fibrinogen alpha chain) and FGG (Fibrinogen gamma chain).

How many genetic variants are linked to Afibrinogenemia?

158 variants: 9 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 108 are of uncertain significance or have conflicting reports.

Which uncertain variants in Afibrinogenemia 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 Afibrinogenemia?

Among tools not trained on clinical labels, SIFT separates this disease's known disease-causing variants from harmless ones best (AUROC 0.93, based on 9 disease-causing and 17 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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