Charcot-Marie-Tooth disease type 2A2: genes and variants
Charcot-Marie-Tooth disease type 2A2 is linked to 1 analyzed protein (MFN2). 32 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 Charcot-Marie-Tooth disease type 2A2
MFN2: Mitofusin-2
It promotes outer-mitochondrial-membrane fusion and coordinates mitochondrial transport, distribution, and contacts with other organelles. Pathogenic variants are a major cause of Charcot-Marie-Tooth disease type 2A and related axonal neuropathies.
32 disease-causing and 37 uncertain variants in MFN2 are linked to Charcot-Marie-Tooth disease type 2A2.
Weakly linked (only a few uncertain records): ATP1A1.
Where Charcot-Marie-Tooth disease type 2A2 variants cluster
- MFN2 Dynamin-type G (positions 93–342): 20 of 32 disease-causing changes, 1.9× more than its size predicts.
- MFN2 Part of a helix bundle domain, formed by helices (positions 359–385): 4 of 32 disease-causing changes, 3.5× more than its size predicts.
- MFN2 Part of a helix bundle domain, formed by helices (positions 722–753): 3 of 32 disease-causing changes, 2.2× more than its size predicts.
- MFN2 Coiled coil (positions 695–738): 3 of 32 disease-causing changes, 1.6× more than its size predicts.
Known disease-causing variants in Charcot-Marie-Tooth disease type 2A2
| Variant | Position | Protein part | Clinical label |
|---|---|---|---|
| MFN2 A738V | 738 | Coiled coil | Disease-causing (★★★★) |
| MFN2 V244M | 244 | Dynamin-type G | Disease-causing (★★) |
| MFN2 R280H | 280 | Dynamin-type G | Disease-causing (★★) |
| MFN2 R364W | 364 | Part of a helix bundle domain, formed by helices | Disease-causing (★★) |
| MFN2 R364P | 364 | Part of a helix bundle domain, formed by helices | Disease-causing (★★) |
| MFN2 H361Q | 361 | Part of a helix bundle domain, formed by helices | Disease-causing (★★) |
| MFN2 A166V | 166 | Dynamin-type G | Disease-causing (★★) |
| MFN2 R104W | 104 | Dynamin-type G | Disease-causing (★★) |
| MFN2 K109R | 109 | Dynamin-type G | Disease-causing (★★) |
| MFN2 H165R | 165 | Dynamin-type G | Disease-causing (★★) |
| MFN2 I213N | 213 | Dynamin-type G | Disease-causing (★★) |
| MFN2 A220T | 220 | Dynamin-type G | Disease-causing (★★) |
| MFN2 S249F | 249 | Dynamin-type G | Disease-causing (★★) |
| MFN2 L710P | 710 | Coiled coil | Disease-causing (★★) |
| MFN2 L724P | 724 | Coiled coil | Disease-causing (★★) |
| MFN2 W740S | 740 | Part of a helix bundle domain, formed by helices | Disease-causing (★★) |
| MFN2 L146F | 146 | Dynamin-type G | Disease-causing (★★) |
| MFN2 T206A | 206 | Dynamin-type G | Disease-causing (★★) |
| MFN2 R476G | 476 | Cytoplasmic | Disease-causing (★★) |
| MFN2 L248V | 248 | Dynamin-type G | Disease-causing (★★) |
| MFN2 M376V | 376 | Part of a helix bundle domain, formed by helices | Disease-causing (★★) |
| MFN2 M234K | 234 | Dynamin-type G | Disease-causing (★) |
| MFN2 V244L | 244 | Dynamin-type G | Disease-causing (★) |
| MFN2 M234I | 234 | Dynamin-type G | Disease-causing (★) |
| MFN2 R280P | 280 | Dynamin-type G | Disease-causing (★) |
| MFN2 H242Y | 242 | Dynamin-type G | Disease-causing (★) |
| MFN2 R94L | 94 | Dynamin-type G | Disease-causing (★) |
| MFN2 V160G | 160 | Dynamin-type G | Disease-causing (★) |
| MFN2 R649P | 649 | Cytoplasmic | Disease-causing (★) |
| MFN2 Q45R | 45 | Part of a helix bundle domain, formed by helices | Disease-causing (★) |
| MFN2 Q235H | 235 | Dynamin-type G | Disease-causing |
| MFN2 V69F | 69 | Part of a helix bundle domain, formed by helices | Disease-causing |
Which prediction tools work for Charcot-Marie-Tooth disease type 2A2
How often each tool ranks a disease-causing variant above a harmless one (AUROC × 100).
- MetaLR: 98 out of 100 (learned from overlapping clinical labels, so this is optimistic)
- CATVariant: 93 out of 100 (learned from overlapping clinical labels, so this is optimistic)
- PolyPhen-2: 90 out of 100 (learned from overlapping clinical labels, so this is optimistic)
- SIFT: 87 out of 100
Same protein, different disease
- Charcot-Marie-Tooth disease is also caused by MFN2 variants; they fall partly in the same places as the Charcot-Marie-Tooth disease type 2A2 variants (86 disease-causing).
- Charcot-Marie-Tooth disease, axonal, autosomal recessive, type 2a2b; is also caused by MFN2 variants; they fall in the same places as the Charcot-Marie-Tooth disease type 2A2 variants (9 disease-causing).
- Neuropathy, hereditary motor and sensory, type 6A is also caused by MFN2 variants; they fall in the same places as the Charcot-Marie-Tooth disease type 2A2 variants (6 disease-causing).
Diseases related to Charcot-Marie-Tooth disease type 2A2
- Charcot-Marie-Tooth disease, also linked to MFN2
- Auditory neuropathy, also linked to MFN2
- Charcot-Marie-Tooth disease, axonal, autosomal recessive, type 2a2b;, also linked to MFN2
- Neuropathy, hereditary motor and sensory, type 6A, also linked to MFN2
- Peripheral neuropathy, also linked to MFN2
- Cerebellar ataxia, also linked to MFN2
- Hereditary motor and sensory neuropathy with optic atrophy, also linked to MFN2
Frequently asked questions
Which genes are linked to Charcot-Marie-Tooth disease type 2A2?
In CATVariant, Charcot-Marie-Tooth disease type 2A2 is linked to 1 analyzed protein: MFN2 (Mitofusin-2).
How many genetic variants are linked to Charcot-Marie-Tooth disease type 2A2?
96 variants: 32 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 Charcot-Marie-Tooth disease type 2A2 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 Charcot-Marie-Tooth disease type 2A2?
Among tools not trained on clinical labels, SIFT separates this disease's known disease-causing variants from harmless ones best (AUROC 0.87, based on 29 disease-causing and 18 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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