Aortic aneurysm, familial thoracic 7: genes and variants

Aortic aneurysm, familial thoracic 7 is linked to 5 analyzed proteins (ACTA2, MYH11, LOX, MYLK and PRKG1). 30 DNA variants are known to cause it; 2,072 more are uncertain, and 2 of those already look disease-causing on computable evidence.

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

Also known as: Aortic aneurysm, familial thoracic 10; Aortic aneurysm, familial thoracic 2; aortic aneurysm, familial thoracic 4; aortic aneurysm, familial thoracic 6; Aortic aneurysm, familial thoracic 8

Genes linked to Aortic aneurysm, familial thoracic 7

Weakly linked (only a few uncertain records): COL3A1, SLC2A10, SMAD3 and TGFBR1.

Known disease-causing variants in Aortic aneurysm, familial thoracic 7

VariantPositionProtein partClinical label
ACTA2 R39C39Disease-causing (★★)
ACTA2 R39G39Disease-causing (★★)
ACTA2 M46I46Disease-causing (★★)
ACTA2 M49T49Disease-causing (★★)
ACTA2 R179C179Disease-causing (★★)
ACTA2 R179S179Disease-causing (★★)
ACTA2 R179H179Disease-causing (★★)
ACTA2 R179L179Disease-causing (★★)
ACTA2 R118Q118Disease-causing (★★)
ACTA2 R258C258Disease-causing (★★)
ACTA2 R149L149Disease-causing (★★)
LOX M298R298Lysyl-oxidase likeDisease-causing (★★)
PRKG1 R177Q177cGMP-binding, high affinityDisease-causing (★★)
ACTA2 M46V46Disease-causing (★)
ACTA2 R39S39Disease-causing (★)
ACTA2 R314Q314Disease-causing (★)
ACTA2 S16P16Disease-causing (★)
ACTA2 C19R19Disease-causing (★)
ACTA2 C219R219Disease-causing (★)
MYH11 I256V256Myosin motorDisease-causing (★)
ACTA2 M49V49Disease-causing
ACTA2 R198C198Disease-causing
ACTA2 R198H198Disease-causing
MYH11 L1264P1264Coiled coilDisease-causing
MYH11 R1758Q1758Coiled coilDisease-causing
MYLK S1759P1759Calmodulin-bindingDisease-causing
LOX Q267P267Lysyl-oxidase likeDisease-causing
LOX S280I280Lysyl-oxidase likeDisease-causing
MYH11 R1275L1275Coiled coilDisease-causing
MYLK A1491S1491Protein kinaseDisease-causing

Uncertain variants in Aortic aneurysm, familial thoracic 7 that look disease-causing

VariantPositionProtein partClinical labelEvidence
ACTA2 R118W118Conflicting reports (★)+7: in a 3D region that tolerates change poorly (2R); R118Q at the same position is pathogenic; seen in 6.8e-07 of gnomAD DNA copies; REVEL 0.848
ACTA2 R149H149Uncertain (★★)+7: in a 3D region that tolerates change poorly (2R); R149L at the same position is pathogenic; seen in 6.6e-06 of gnomAD DNA copies; REVEL 0.862

Which prediction tools work for Aortic aneurysm, familial thoracic 7

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

Same protein, different disease

Diseases related to Aortic aneurysm, familial thoracic 7

Frequently asked questions

Which genes are linked to Aortic aneurysm, familial thoracic 7?

In CATVariant, Aortic aneurysm, familial thoracic 7 is linked to 5 analyzed proteins: ACTA2 (Actin, aortic smooth muscle), MYH11 (Myosin-11), LOX (Protein-lysine 6-oxidase), MYLK (Myosin light chain kinase, smooth muscle) and PRKG1 (cGMP-dependent protein kinase 1).

How many genetic variants are linked to Aortic aneurysm, familial thoracic 7?

2,188 variants: 30 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 2,072 are of uncertain significance or have conflicting reports.

Which uncertain variants in Aortic aneurysm, familial thoracic 7 look disease-causing?

2 uncertain variants reach the likely-pathogenic range of the ACMG/AMP points scale on computable evidence, for example ACTA2 R118W and ACTA2 R149H. These are leads for expert review, not diagnoses.

Which variant effect predictor works best for Aortic aneurysm, familial thoracic 7?

Among tools not trained on clinical labels, AlphaMissense separates this disease's known disease-causing variants from harmless ones best (AUROC 0.99, based on 18 disease-causing and 15 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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