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Updated: Jun 19, 2026

Rab10 Phosphorylation Detection by LRRK2 Activity Using SDS-PAGE with a Phosphate-binding Tag
Published on: December 14, 2017
LRRK2 in Parkinson's disease: genetic and clinical studies from patients
1Department of Neurology, Singapore General Hospital, Singapore, Singapore.
Abstract:
Mutations in leucine-rich repeat kinase 2 (LRRK2) (PARK8) are associated with both familial and sporadic forms of Parkinson's disease. Most studies have shown that LRRK2 mutations may explain between 5% and 13% of familial and 1-5% of sporadic Parkinson's disease. Importantly, a common recurrent mutation (G2019S) located in the kinase domain has been reported across most ethnic populations, with the highest prevalence among Ashkenazi Jews and North African Arabs. A recent worldwide meta-analysis pooling data from 24 populations reported a higher occurrence of G2019S in southern than in northern European countries and the penetrance is estimated to be approximately 75% at the age of 79 years. The R1441 'hotspot' amino acid codon residue (G/H/C) in the Ras of complex proteins domain is the second most common site of pathogenic LRRK2 substitutions after G2019S, with most carriers developing symptoms by the age of 75 years. Two polymorphic variants found almost exclusively among Asians (G2385R and R1628P) have been shown to increase the Parkinson's disease risk by approximately two-fold. The mutational event associated with R1628P is more recent, occurring approximately 2500 years ago, compared to estimates of 4000 years for G2385R carriers. LRRK2 mutation carriers generally simulate late onset Parkinson's disease and present with the usual typical clinical features. Genetic testing for G2019S in sporadic late-onset Parkinson's disease can be considered in some situations and may be useful in populations with high carrier status. The identification of asymptomatic mutation and risk variant carriers provides a unique opportunity for recruiting these subjects in potential neuroprotective trials and longitudinal studies to identify biomarkers of neurodegeneration.
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