Fanconi anemia complementation group A: genes and variants
Fanconi anemia complementation group A is linked to 3 analyzed proteins (FANCA, BRCA1 and FANCC). 38 DNA variants are known to cause it; 272 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 Fanconi anemia complementation group A
FANCA: Fanconi anemia group A protein
It helps assemble the Fanconi-anemia core complex that monoubiquitinates FANCD2 and FANCI after DNA interstrand crosslinks stall replication. Biallelic loss-of-function variants are the most common cause of Fanconi anemia, with bone-marrow failure and cancer predisposition.
38 disease-causing and 265 uncertain variants in FANCA are linked to Fanconi anemia complementation group A.
BRCA1: Breast cancer type 1 susceptibility protein
It coordinates DNA-damage signaling and homologous-recombination repair while helping protect stalled replication forks and chromosome integrity. Germline loss-of-function variants strongly predispose to breast and ovarian cancer and increase risk for several other malignancies.
0 disease-causing and 0 uncertain variants in BRCA1 are linked to Fanconi anemia complementation group A.
FANCC: Fanconi anemia group C protein
It contributes to activation of the FANCD2-FANCI DNA-repair pathway after replication-blocking lesions. Biallelic loss-of-function variants cause Fanconi anemia group C, with chromosome instability, marrow failure, congenital abnormalities, and elevated cancer risk.
0 disease-causing and 4 uncertain variants in FANCC are linked to Fanconi anemia complementation group A.
Weakly linked (only a few uncertain records): FANCD2.
Known disease-causing variants in Fanconi anemia complementation group A
| Variant | Position | Protein part | Clinical label |
|---|---|---|---|
| FANCA Q436R | 436 | Disease-causing (★★) | |
| FANCA P1164S | 1164 | Disease-causing (★★) | |
| FANCA R764W | 764 | Disease-causing (★★) | |
| FANCA R1055Q | 1055 | Disease-causing (★★) | |
| FANCA E878Q | 878 | Disease-causing (★★) | |
| FANCA H1110P | 1110 | Disease-causing (★★) | |
| FANCA L324P | 324 | Disease-causing (★) | |
| FANCA R951L | 951 | Disease-causing (★) | |
| FANCA F456S | 456 | Disease-causing (★) | |
| FANCA V389L | 389 | Disease-causing (★) | |
| FANCA E420K | 420 | Disease-causing (★) | |
| FANCA L358R | 358 | Disease-causing | |
| FANCA Y448C | 448 | Disease-causing | |
| FANCA T724P | 724 | Disease-causing | |
| FANCA Y843D | 843 | Disease-causing | |
| FANCA W932R | 932 | Disease-causing | |
| FANCA E936K | 936 | Disease-causing | |
| FANCA L210R | 210 | Disease-causing | |
| FANCA L362P | 362 | Disease-causing | |
| FANCA L407R | 407 | Disease-causing | |
| FANCA Q742K | 742 | Disease-causing | |
| FANCA V761E | 761 | Disease-causing | |
| FANCA R1204P | 1204 | Disease-causing | |
| FANCA F1262L | 1262 | Disease-causing | |
| FANCA A1357P | 1357 | Disease-causing | |
| FANCA M1360I | 1360 | Disease-causing | |
| FANCA A1399P | 1399 | Disease-causing | |
| FANCA D598N | 598 | Disease-causing | |
| FANCA A788P | 788 | Disease-causing | |
| FANCA L817P | 817 | Disease-causing | |
| FANCA T838R | 838 | Disease-causing | |
| FANCA L908P | 908 | Disease-causing | |
| FANCA D1129V | 1129 | Disease-causing | |
| FANCA R685T | 685 | Disease-causing | |
| FANCA R1080L | 1080 | Disease-causing | |
| FANCA D1325H | 1325 | Disease-causing | |
| FANCA S1337G | 1337 | Disease-causing | |
| FANCA A228G | 228 | Disease-causing |
Which prediction tools work for Fanconi anemia complementation group A
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)
- AlphaMissense: 97 out of 100
- CATVariant: 96 out of 100 (learned from overlapping clinical labels, so this is optimistic)
- EVE: 95 out of 100
- CADD: 94 out of 100
- REVEL: 93 out of 100 (learned from overlapping clinical labels, so this is optimistic)
- PolyPhen-2: 92 out of 100 (learned from overlapping clinical labels, so this is optimistic)
- SIFT: 91 out of 100
- phyloP: 90 out of 100
- MutPred2: 76 out of 100 (learned from overlapping clinical labels, so this is optimistic)
Same protein, different disease
- Fanconi anemia is also caused by FANCA variants; they fall partly in the same places as the Fanconi anemia complementation group A variants (15 disease-causing).
Diseases related to Fanconi anemia complementation group A
- Ovarian cancer, also linked to BRCA1, FANCA and FANCC
- Acute myeloid leukemia, also linked to FANCA and FANCC
- Fanconi anemia, also linked to FANCA and FANCC
- Hereditary breast ovarian cancer syndrome, also linked to BRCA1 and FANCC
- Breast-ovarian cancer, familial, susceptibility to, 1, also linked to BRCA1
- Ovarian neoplasm, also linked to BRCA1
- Myelodysplastic syndrome, also linked to FANCC
- Familial pancreatic carcinoma, also linked to BRCA1
- Fanconi anemia complementation group C, also linked to FANCC
Frequently asked questions
Which genes are linked to Fanconi anemia complementation group A?
In CATVariant, Fanconi anemia complementation group A is linked to 3 analyzed proteins: FANCA (Fanconi anemia group A protein), BRCA1 (Breast cancer type 1 susceptibility protein) and FANCC (Fanconi anemia group C protein).
How many genetic variants are linked to Fanconi anemia complementation group A?
389 variants: 38 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 272 are of uncertain significance or have conflicting reports.
Which uncertain variants in Fanconi anemia complementation group A 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 Fanconi anemia complementation group A?
Among tools not trained on clinical labels, AlphaMissense separates this disease's known disease-causing variants from harmless ones best (AUROC 0.97, based on 17 disease-causing and 14 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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