Amelogenesis imperfecta: genes and variants

Amelogenesis imperfecta is linked to 3 analyzed proteins (COL17A1, LAMB3 and PRKAR1A). 5 DNA variants are known to cause it; 17 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: Amelogenesis imperfecta type 1; amelogenesis imperfecta type 1A; amelogenesis imperfecta type 1G

Genes linked to Amelogenesis imperfecta

Weakly linked (only a few uncertain records): COL7A1 and LAMC2.

Known disease-causing variants in Amelogenesis imperfecta

VariantPositionProtein partClinical label
LAMB3 E210K210Laminin N-terminalDisease-causing (★★)
COL17A1 G677D677Triple-helical regionDisease-causing
COL17A1 G567E567Triple-helical regionDisease-causing
COL17A1 E1199Q1199Triple-helical regionDisease-causing
COL17A1 D1200Y1200Triple-helical regionDisease-causing

Same protein, different disease

Diseases related to Amelogenesis imperfecta

Frequently asked questions

Which genes are linked to Amelogenesis imperfecta?

In CATVariant, Amelogenesis imperfecta is linked to 3 analyzed proteins: COL17A1 (Collagen alpha-1(XVII) chain), LAMB3 (Laminin subunit beta-3) and PRKAR1A (cAMP-dependent protein kinase type I-alpha regulatory subunit).

How many genetic variants are linked to Amelogenesis imperfecta?

46 variants: 5 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 17 are of uncertain significance or have conflicting reports.

Which uncertain variants in Amelogenesis imperfecta 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.

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