Parkinson disease, late-onset: genes and variants

Parkinson disease, late-onset is linked to 2 analyzed proteins (GBA1 and MAPT). 8 DNA variants are known to cause it; 21 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 Parkinson disease, late-onset

Weakly linked (only a few uncertain records): PINK1, PARK7 and VPS35.

Known disease-causing variants in Parkinson disease, late-onset

VariantPositionProtein partClinical label
GBA1 I299T299Disease-causing (★★)
GBA1 L483P483Disease-causing (★★)
GBA1 W351S351Disease-causing (★★)
GBA1 R434C434Disease-causing (★★)
GBA1 A495P495Disease-causing (★★)
GBA1 R535C535Disease-causing (★★)
GBA1 I299N299Disease-causing (★)
GBA1 D438H438Disease-causing

Which prediction tools work for Parkinson disease, late-onset

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

Same protein, different disease

Diseases related to Parkinson disease, late-onset

Frequently asked questions

Which genes are linked to Parkinson disease, late-onset?

In CATVariant, Parkinson disease, late-onset is linked to 2 analyzed proteins: GBA1 (Lysosomal acid glucosylceramidase) and MAPT (Microtubule-associated protein tau).

How many genetic variants are linked to Parkinson disease, late-onset?

31 variants: 8 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 21 are of uncertain significance or have conflicting reports.

Which uncertain variants in Parkinson disease, late-onset 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 Parkinson disease, late-onset?

Among tools not trained on clinical labels, SIFT separates this disease's known disease-causing variants from harmless ones best (AUROC 0.79, based on 8 disease-causing and 48 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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