Myocardial infarction: genes and variants

Myocardial infarction is linked to 23 analyzed proteins (F7, ITGB3, ACE, AGTR1, APOA5, APOB, APOE, CACNA1C and 15 more). 5 DNA variants are known to cause it; 4 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: Myocardial infarction, susceptibility to

Genes linked to Myocardial infarction

Weakly linked (only a few uncertain records): F13A1 and CLCN1.

Where Myocardial infarction variants cluster

Known disease-causing variants in Myocardial infarction

VariantPositionProtein partClinical label
F7 R364W364Peptidase S1Disease-causing (★★)
F7 R364Q364Peptidase S1Disease-causing (★★)
F7 A429T429Peptidase S1Disease-causing (★★)
F7 A354V354Peptidase S1Disease-causing (★★)
F7 A304V304Peptidase S1Disease-causing (★★)

Same protein, different disease

Diseases related to Myocardial infarction

Frequently asked questions

Which genes are linked to Myocardial infarction?

In CATVariant, Myocardial infarction is linked to 23 analyzed proteins: F7 (Coagulation factor VII), ITGB3 (Integrin beta-3), ACE (Angiotensin-converting enzyme), AGTR1 (Type-1 angiotensin II receptor), APOA5 (Apolipoprotein A-V), APOB (Apolipoprotein B-100) and 17 more.

How many genetic variants are linked to Myocardial infarction?

10 variants: 5 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 4 are of uncertain significance or have conflicting reports.

Which uncertain variants in Myocardial infarction 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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