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Dimitri Krainc

Publications and source records attributed to Dimitri Krainc.

2 recordsLinked to original sources

In Vivo Screen of Parkinson's Disease GWAS Risk Genes Identifies ARIH2 as a Novel Regulator of α-Synuclein Toxicity in Dopaminergic Neurons.

Parkinson's disease (PD) is a late-onset neurodegenerative disease characterized by preferential degeneration of midbrain dopaminergic neurons and α-synuclein-containing Lewy bodies that are found in both familial and sporadic forms. Genome-wide association studies (GWAS) have identified many loci associated with risk of sporadic PD, but their role in PD pathogenesis remains largely unknown. We screened a subset of GWAS genes in Caenorhabditis elegans (C. elegans) as potential modulators of α-synuclein-mediated degeneration of dopaminergic neurons. Loss of ari-2 (human ARIH2), an E3 ubiquitin ligase, was identified as the strongest suppressor of dopaminergic neurodegeneration in C. elegans. Unbiased proteomics analysis in human-induced pluripotent stem cell-derived dopaminergic neurons revealed novel substrates of ARIH2 including TPPP3, a regulator of microtubule dynamics. Importantly, TPPP3 was required for ARIH2's effects on α-synuclein-induced dopaminergic neurodegeneration. Our studies reveal an unexpected genetic interaction between two PD-linked genes, α-synuclein and ARIH2, and suggest that inhibition of ARIH2's enzymatic activity may serve as a potential therapeutic approach in PD.

Animals

Genome-wide association study of copy number variations in Parkinson's disease.

OBJECTIVE: To investigate the impact of copy number variations (CNVs) on Parkinson's disease (PD) pathogenesis using genome-wide data and explore their role in sporadic PD. METHODS: We analyzed CNV data from 11,035 PD patients (including 2,731 early-onset PD (EOPD)) and 8,901 controls from the COURAGE-PD consortium using a sliding window CNV-GWAS and genome-wide burden analysis. The independent dataset from the Global Parkinson Genetics Program (GP2) consisted of 23,089 cases and 18,824 controls were used to validate our initial findings. RESULTS: The exploratory dataset identifies multiple CNV regions associated with PD risk. The nominated CNV loci were not confirmed in an independent dataset, except that only a deletion in the PRKN gene, a well-established EOPD locus, remained genome-wide significant and robustly supported. CNV burden analysis showed a higher prevalence of CNVs in PD-related genes in patients compared to controls (OR=1.56 [1.18-2.09], p=0.0013), with PRKN showing the highest burden (OR=1.47 [1.10-1.98], p=0.026). Patients with CNVs in PRKN had an earlier disease onset. Burden analysis with controls and EOPD patients showed similar results. INTERPRETATION: The largest CNV-based GWAS on PD highlights both the promise and pitfalls of array-based CNV detection in PD and underscores the relevance of whole-genome sequencing approaches in resolving the role of CNV in PD. The array-based findings are prone towards false positive findings that might arise either from platform limitations and/or cohort biases. Future studies require improved genotyping resolution and rigorous cross-cohort validation to reliably assess CNV contributions to PD risk.

Journal Article