Alpha Thalassemia: genes and variants

Alpha Thalassemia is linked to 2 analyzed proteins (HBA1 and HBB). 10 DNA variants are known to cause it; 16 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: Alpha-thalassemia

Genes linked to Alpha Thalassemia

Known disease-causing variants in Alpha Thalassemia

VariantPositionProtein partClinical label
HBA1 M1V1Disease-causing (★★)
HBA1 M1R1Disease-causing (★★)
HBA1 M1T1Disease-causing (★★)
HBA1 M1K1Disease-causing (★★)
HBA1 G60R60GlobinDisease-causing (★★)
HBA1 W15R15GlobinDisease-causing (★★)
HBA1 M33I33GlobinDisease-causing (★★)
HBA1 F44L44GlobinDisease-causing (★)
HBA1 R32K32GlobinDisease-causing (★)
HBA1 F129S129GlobinDisease-causing

Which prediction tools work for Alpha Thalassemia

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

Same protein, different disease

Diseases related to Alpha Thalassemia

Frequently asked questions

Which genes are linked to Alpha Thalassemia?

In CATVariant, Alpha Thalassemia is linked to 2 analyzed proteins: HBA1 (Hemoglobin subunit alpha) and HBB (Hemoglobin subunit beta).

How many genetic variants are linked to Alpha Thalassemia?

38 variants: 10 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 16 are of uncertain significance or have conflicting reports.

Which uncertain variants in Alpha Thalassemia 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 Alpha Thalassemia?

Among tools not trained on clinical labels, SIFT separates this disease's known disease-causing variants from harmless ones best (AUROC 0.91, based on 9 disease-causing and 32 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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