Dominant beta-thalassemia: genes and variants
Dominant beta-thalassemia is linked to 1 analyzed protein (HBB). 11 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.
Genes linked to Dominant beta-thalassemia
HBB: Hemoglobin subunit beta
Beta-globin, one of the two major protein chains in adult hemoglobin. Hemoglobin uses these chains to transport oxygen from the lungs to tissues, and HBB variants are associated with sickle-cell disease and beta-thalassemia.
11 disease-causing and 4 uncertain variants in HBB are linked to Dominant beta-thalassemia.
Known disease-causing variants in Dominant beta-thalassemia
| Variant | Position | Protein part | Clinical label |
|---|---|---|---|
| HBB M1I | 1 | Disease-causing (★★) | |
| HBB A116D | 116 | Globin | Disease-causing (★★) |
| HBB E7V | 7 | Globin | Disease-causing (★★) |
| HBB E7K | 7 | Globin | Disease-causing (★★) |
| HBB M1V | 1 | Disease-causing (★★) | |
| HBB E27K | 27 | Globin | Disease-causing (★★) |
| HBB L69F | 69 | Globin | Disease-causing (★★) |
| HBB Y146N | 146 | Globin | Disease-causing (★★) |
| HBB E122K | 122 | Globin | Disease-causing (★★) |
| HBB A116P | 116 | Globin | Disease-causing (★) |
| HBB A54T | 54 | Globin | Disease-causing (★) |
Which prediction tools work for Dominant beta-thalassemia
How often each tool ranks a disease-causing variant above a harmless one (AUROC × 100).
- CATVariant: 68 out of 100 (learned from overlapping clinical labels, so this is optimistic)
- AlphaMissense: 64 out of 100
- ESM1b (LLR): 59 out of 100
Same protein, different disease
- Erythrocytosis, familial, 6 is also caused by HBB variants; they fall mostly in different places as the Dominant beta-thalassemia variants (31 disease-causing).
- Beta thalassemia is also caused by HBB variants; they fall mostly in different places as the Dominant beta-thalassemia variants (21 disease-causing).
- Beta-thalassemia HBB/LCRB is also caused by HBB variants; they fall partly in the same places as the Dominant beta-thalassemia variants (18 disease-causing).
- Heinz body anemia is also caused by HBB variants; they fall partly in the same places as the Dominant beta-thalassemia variants (12 disease-causing).
- Hemoglobinopathy is also caused by HBB variants; they fall mostly in different places as the Dominant beta-thalassemia variants (12 disease-causing).
Diseases related to Dominant beta-thalassemia
- Erythrocytosis, familial, 6, also linked to HBB
- Malaria, also linked to HBB
- Beta thalassemia, also linked to HBB
- Heinz body anemia, also linked to HBB
- Atypical hemolytic-uremic syndrome, also linked to HBB
- Beta-thalassemia HBB/LCRB, also linked to HBB
- Hemoglobinopathy, also linked to HBB
- Alpha Thalassemia, also linked to HBB
- METHEMOGLOBINEMIA, BETA TYPE, also linked to HBB
- Hemolytic anemia, also linked to HBB
Frequently asked questions
Which genes are linked to Dominant beta-thalassemia?
In CATVariant, Dominant beta-thalassemia is linked to 1 analyzed protein: HBB (Hemoglobin subunit beta).
How many genetic variants are linked to Dominant beta-thalassemia?
19 variants: 11 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 Dominant beta-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 Dominant beta-thalassemia?
Among tools not trained on clinical labels, AlphaMissense separates this disease's known disease-causing variants from harmless ones best (AUROC 0.64, based on 11 disease-causing and 19 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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