Phenylketonuria: genes and variants

Phenylketonuria is linked to 2 analyzed proteins (PAH and COL1A1). 32 DNA variants are known to cause it; 8 more are uncertain, and 5 of those already look disease-causing on computable evidence.

Last updated 2026-09-30. Research information, not medical advice.

Genes linked to Phenylketonuria

Known disease-causing variants in Phenylketonuria

VariantPositionProtein partClinical label
PAH A202T202Disease-causing (★★★)
PAH A300V300Disease-causing (★★★)
PAH A345T345Disease-causing (★★★)
PAH A373D373Disease-causing (★★★)
PAH A156P156Disease-causing (★★★)
PAH A165D165Disease-causing (★★★)
PAH A165T165Disease-causing (★★★)
PAH A300G300Disease-causing (★★★)
PAH A300S300Disease-causing (★★★)
PAH A309V309Disease-causing (★★★)
PAH A313V313Disease-causing (★★★)
PAH A345S345Disease-causing (★★★)
PAH A132V132Disease-causing (★★★)
PAH A246V246Disease-causing (★★★)
PAH A104V104ACTDisease-causing (★★★)
PAH A202V202Disease-causing (★★★)
PAH A309T309Disease-causing (★★★)
PAH A322G322Disease-causing (★★★)
PAH A322T322Disease-causing (★★★)
PAH A373T373Disease-causing (★★★)
PAH A104D104ACTDisease-causing (★★★)
PAH A259T259Disease-causing (★★)
PAH A309D309Disease-causing (★★)
PAH A259V259Disease-causing (★★)
PAH A342P342Disease-causing (★★)
PAH A342T342Disease-causing (★★)
PAH A309S309Disease-causing (★)
PAH A313E313Disease-causing (★)
PAH A156V156Disease-causing (★)
PAH A156G156Disease-causing (★)
COL1A1 G626D626Triple-helical regionDisease-causing (★)
PAH A342E342Disease-causing

Uncertain variants in Phenylketonuria that look disease-causing

VariantPositionProtein partClinical labelEvidence
PAH A313T313Conflicting reports+7: 2 other pathogenic changes within 3 positions; A313E at the same position is pathogenic; seen in 6.6e-06 of gnomAD DNA copies; REVEL 0.934
PAH A165P165Uncertain (★★★)+7: 2 other pathogenic changes within 3 positions; A165D at the same position is pathogenic; seen in 1.4e-06 of gnomAD DNA copies; REVEL 0.956
PAH A246D246Uncertain (★★★)+7: in a 3D region that tolerates change poorly (1R); A246V at the same position is pathogenic; seen in 2.7e-06 of gnomAD DNA copies; REVEL 0.926
PAH A132T132Uncertain (★)+7: in a 3D region that tolerates change poorly (1R); A132V at the same position is pathogenic; seen in 6.8e-07 of gnomAD DNA copies; REVEL 0.854
PAH A259G259Uncertain (★)+6: 2 other pathogenic changes within 3 positions; A259V at the same position is pathogenic; not seen in the gnomAD population database; AlphaMissense 0.98

Which prediction tools work for Phenylketonuria

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

Same protein, different disease

Diseases related to Phenylketonuria

Frequently asked questions

Which genes are linked to Phenylketonuria?

In CATVariant, Phenylketonuria is linked to 2 analyzed proteins: PAH (Phenylalanine-4-hydroxylase) and COL1A1 (Collagen alpha-1(I) chain).

How many genetic variants are linked to Phenylketonuria?

261 variants: 32 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 8 are of uncertain significance or have conflicting reports.

Which uncertain variants in Phenylketonuria look disease-causing?

5 uncertain variants reach the likely-pathogenic range of the ACMG/AMP points scale on computable evidence, for example PAH A313T, PAH A165P, PAH A246D, PAH A132T and PAH A259G. These are leads for expert review, not diagnoses.

Which variant effect predictor works best for Phenylketonuria?

Among tools not trained on clinical labels, AlphaMissense separates this disease's known disease-causing variants from harmless ones best (AUROC 0.90, based on 19 disease-causing and 85 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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