Lung cancer: genes and variants

Lung cancer is linked to 10 analyzed proteins (PRKN, BRAF, KRAS, PIK3CA, ALK, ERBB2, CD274, EGFR and 2 more). 9 DNA variants are known to cause it; 40 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 Lung cancer

Known disease-causing variants in Lung cancer

VariantPositionProtein partClinical label
KRAS G12D12Disease-causing (★★)
PRKN G430D430RING-type 2Disease-causing (★★)
PRKN C253Y253RING-type 1Disease-causing (★★)
PRKN K211N211RING-type 0Disease-causing (★★)
PIK3CA N345K345C2 PI3K-typeDisease-causing (★★)
PRKN R33Q33Ubiquitin-likeDisease-causing (★★)
ALK V1180L1180Protein kinaseDisease-causing
NFE2L2 E82D82ETGE motifDisease-causing
BRAF A712D712Protein kinaseDisease-causing

Which prediction tools work for Lung cancer

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

Same protein, different disease

Diseases related to Lung cancer

Frequently asked questions

Which genes are linked to Lung cancer?

In CATVariant, Lung cancer is linked to 10 analyzed proteins: PRKN (E3 ubiquitin-protein ligase parkin), BRAF (Serine/threonine-protein kinase B-raf), KRAS (GTPase KRas), PIK3CA (Phosphatidylinositol 4,5-bisphosphate 3-kinase catalytic subunit alpha isoform), ALK (ALK tyrosine kinase receptor), ERBB2 (Receptor tyrosine-protein kinase erbB-2) and 4 more.

How many genetic variants are linked to Lung cancer?

60 variants: 9 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 40 are of uncertain significance or have conflicting reports.

Which uncertain variants in Lung cancer 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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