Feingold syndrome: genes and variants
Feingold syndrome is linked to 1 analyzed protein (MYCN). 7 DNA variants are known to cause it; 51 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: Feingold syndrome type 1
Genes linked to Feingold syndrome
MYCN: N-myc proto-oncogene protein
It drives transcriptional programs for growth, metabolism, and proliferation during neural and other embryonic development. Amplification is a major adverse prognostic feature in neuroblastoma, while germline dysregulation can cause developmental syndromes with abnormal growth.
7 disease-causing and 51 uncertain variants in MYCN are linked to Feingold syndrome.
Where Feingold syndrome variants cluster
- MYCN bHLH (positions 381–433): 6 of 7 disease-causing changes, 7.5× more than its size predicts.
Known disease-causing variants in Feingold syndrome
| Variant | Position | Protein part | Clinical label |
|---|---|---|---|
| MYCN R393H | 393 | bHLH | Disease-causing (★★) |
| MYCN R394H | 394 | bHLH | Disease-causing (★★) |
| MYCN R391C | 391 | bHLH | Disease-causing (★) |
| MYCN P26L | 26 | Interaction with AURKA | Disease-causing (★) |
| MYCN L404R | 404 | bHLH | Disease-causing (★) |
| MYCN R391S | 391 | bHLH | Disease-causing |
| MYCN R393S | 393 | bHLH | Disease-causing |
Diseases related to Feingold syndrome
- Basal cell carcinoma, also linked to MYCN
Frequently asked questions
Which genes are linked to Feingold syndrome?
In CATVariant, Feingold syndrome is linked to 1 analyzed protein: MYCN (N-myc proto-oncogene protein).
How many genetic variants are linked to Feingold syndrome?
79 variants: 7 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 51 are of uncertain significance or have conflicting reports.
Which uncertain variants in Feingold syndrome 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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