Browsing by Author "Goldwurm, Stefano"

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    Genomewide Association Studies of LRRK2 Modifiers of Parkinson's Disease
    (Wiley, 2021-07) Lai, Dongbing; Alipanahi, Babak; Fontanillas, Pierre; Schwantes, Tae-Hwi; Aasly, Jan; Alcalay, Roy N.; Beecham, Gary W.; Berg, Daniela; Bressman, Susan; Brice, Alexis; Brockman, Kathrin; Clark, Lorraine; Cookson, Mark; Das, Sayantan; Van Deerlin, Vivianna; Follett, Jordan; Farrer, Matthew J.; Trinh, Joanne; Gasser, Thomas; Goldwurm, Stefano; Gustavsson, Emil; Klein, Christine; Lang, Anthony E.; Langston, J. William; Latourelle, Jeanne; Lynch, Timothy; Marder, Karen; Marras, Connie; Martin, Eden R.; McLean, Cory Y.; Mejia-Santana, Helen; Molho, Eric; Myers, Richard H.; Nuytemans, Karen; Ozelius, Laurie; Payami, Haydeh; Raymond, Deborah; Rogaeva, Ekaterina; Rogers, Michael P.; Ross, Owen A.; Samii, Ali; Saunders-Pullman, Rachel; Schüle, Birgitt; Schulte, Claudia; Scott, William K.; Tanner, Caroline; Tolosa, Eduardo; Tomkins, James E.; Vilas, Dolores; Trojanowski, John Q.; Uitti, Ryan; Vance, Jeffery M.; Visanji, Naomi P.; Wszolek, Zbigniew K.; Zabetian, Cyrus P.; Mirelman, Anat; Giladi, Nir; Urtreger, Avi Orr; Cannon, Paul; Fiske, Brian; Foroud, Tatiana; Medical and Molecular Genetics, School of Medicine
    Objective: The aim of this study was to search for genes/variants that modify the effect of LRRK2 mutations in terms of penetrance and age-at-onset of Parkinson's disease. Methods: We performed the first genomewide association study of penetrance and age-at-onset of Parkinson's disease in LRRK2 mutation carriers (776 cases and 1,103 non-cases at their last evaluation). Cox proportional hazard models and linear mixed models were used to identify modifiers of penetrance and age-at-onset of LRRK2 mutations, respectively. We also investigated whether a polygenic risk score derived from a published genomewide association study of Parkinson's disease was able to explain variability in penetrance and age-at-onset in LRRK2 mutation carriers. Results: A variant located in the intronic region of CORO1C on chromosome 12 (rs77395454; p value = 2.5E-08, beta = 1.27, SE = 0.23, risk allele: C) met genomewide significance for the penetrance model. Co-immunoprecipitation analyses of LRRK2 and CORO1C supported an interaction between these 2 proteins. A region on chromosome 3, within a previously reported linkage peak for Parkinson's disease susceptibility, showed suggestive associations in both models (penetrance top variant: p value = 1.1E-07; age-at-onset top variant: p value = 9.3E-07). A polygenic risk score derived from publicly available Parkinson's disease summary statistics was a significant predictor of penetrance, but not of age-at-onset. Interpretation: This study suggests that variants within or near CORO1C may modify the penetrance of LRRK2 mutations. In addition, common Parkinson's disease associated variants collectively increase the penetrance of LRRK2 mutations. ANN NEUROL 2021;90:82-94.
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    Genomewide association study for onset age in Parkinson disease
    (BioMed Central, 2009-09-22) Latourelle, Jeanne C.; Pankratz, Nathan; Dumitriu, Alexandra; Wilk, Jemma B.; Goldwurm, Stefano; Pezzoli, Gianni; Mariani, Claudio B.; DeStefano, Anita L.; Halter, Cheryl; Gusella, James F.; Nichols, William C.; Myers, Richard H.; Foroud, Tatiana; Medical and Molecular Genetics, School of Medicine
    Background Age at onset in Parkinson disease (PD) is a highly heritable quantitative trait for which a significant genetic influence is supported by multiple segregation analyses. Because genes associated with onset age may represent invaluable therapeutic targets to delay the disease, we sought to identify such genetic modifiers using a genomewide association study in familial PD. There have been previous genomewide association studies (GWAS) to identify genes influencing PD susceptibility, but this is the first to identify genes contributing to the variation in onset age. Methods Initial analyses were performed using genotypes generated with the Illumina HumanCNV370Duo array in a sample of 857 unrelated, familial PD cases. Subsequently, a meta-analysis of imputed SNPs was performed combining the familial PD data with that from a previous GWAS of 440 idiopathic PD cases. The SNPs from the meta-analysis with the lowest p-values and consistency in the direction of effect for onset age were then genotyped in a replication sample of 747 idiopathic PD cases from the Parkinson Institute Biobank of Milan, Italy. Results Meta-analysis across the three studies detected consistent association (p < 1 × 10-5) with five SNPs, none of which reached genomewide significance. On chromosome 11, the SNP with the lowest p-value (rs10767971; p = 5.4 × 10-7) lies between the genes QSER1 and PRRG4. Near the PARK3 linkage region on chromosome 2p13, association was observed with a SNP (rs7577851; p = 8.7 × 10-6) which lies in an intron of the AAK1 gene. This gene is closely related to GAK, identified as a possible PD susceptibility gene in the GWAS of the familial PD cases. Conclusion Taken together, these results suggest an influence of genes involved in endocytosis and lysosomal sorting in PD pathogenesis.