Familial dysfibrinogenemia: genes and variants

Familial dysfibrinogenemia is linked to 3 analyzed proteins (FGG, FGA and FGB). 14 DNA variants are known to cause it; 67 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 Familial dysfibrinogenemia

Where Familial dysfibrinogenemia variants cluster

Known disease-causing variants in Familial dysfibrinogenemia

VariantPositionProtein partClinical label
FGG R301C301Fibrinogen C-terminalDisease-causing (★★)
FGG R301H301Fibrinogen C-terminalDisease-causing (★★)
FGG R301S301Fibrinogen C-terminalDisease-causing (★★)
FGG M336T336Fibrinogen C-terminalDisease-causing (★★)
FGB R44C44Disease-causing (★★)
FGG R401W401Fibrinogen C-terminalDisease-causing (★★)
FGA R35C35Disease-causing (★★)
FGA R573C573Coiled coilDisease-causing (★★)
FGA E545V545Coiled coilDisease-causing (★★)
FGG M336L336Fibrinogen C-terminalDisease-causing (★)
FGG D344H344Fibrinogen C-terminalDisease-causing (★)
FGG D346G346Fibrinogen C-terminalDisease-causing (★)
FGB C227R227Disease-causing
FGG D356G356Fibrinogen C-terminalDisease-causing

Which prediction tools work for Familial dysfibrinogenemia

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

Same protein, different disease

Diseases related to Familial dysfibrinogenemia

Frequently asked questions

Which genes are linked to Familial dysfibrinogenemia?

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

How many genetic variants are linked to Familial dysfibrinogenemia?

104 variants: 14 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 67 are of uncertain significance or have conflicting reports.

Which uncertain variants in Familial dysfibrinogenemia 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 Familial dysfibrinogenemia?

Among tools not trained on clinical labels, SIFT separates this disease's known disease-causing variants from harmless ones best (AUROC 0.96, based on 12 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.

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