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Item Defining the causes of sporadic Parkinson's disease in the global Parkinson's genetics program (GP2)(Springer Nature, 2023-09-12) Towns, Clodagh; Richer, Madeleine; Jasaityte, Simona; Stafford, Eleanor J.; Joubert, Julie; Antar, Tarek; Martinez-Carrasco, Alejandro; Makarious, Mary B.; Casey, Bradford; Vitale, Dan; Levine, Kristin; Leonard, Hampton; Pantazis, Caroline B.; Screven, Laurel A.; Hernandez, Dena G.; Wegel, Claire E.; Solle, Justin; Nalls, Mike A.; Blauwendraat, Cornelis; Singleton, Andrew B.; Tan, Manuela M. X.; Iwaki, Hirotaka; Morris, Huw R.; Global Parkinson’s Genetics Program (GP2); Medical and Molecular Genetics, School of MedicineThe Global Parkinson’s Genetics Program (GP2) will genotype over 150,000 participants from around the world, and integrate genetic and clinical data for use in large-scale analyses to dramatically expand our understanding of the genetic architecture of PD. This report details the workflow for cohort integration into the complex arm of GP2, and together with our outline of the monogenic hub in a companion paper, provides a generalizable blueprint for establishing large scale collaborative research consortia.Item Genome-wide case-only analysis of gene-gene interactions with known Parkinson's disease risk variants reveals link between LRRK2 and SYT10(Springer Nature, 2023-06-29) Aleknonytė-Resch, Milda; Trinh, Joanne; Leonard, Hampton; Delcambre, Sylvie; Leitão, Elsa; Lai, Dongbing; Smajić, Semra; Orr-Urtreger, Avi; Thaler, Avner; Blauwendraat, Cornelis; Sharma, Arunabh; Makarious, Mary B.; Kim, Jonggeol Jeff; Lake, Julie; Rahmati, Pegah; Freitag-Wolf, Sandra; Seibler, Philip; Foroud, Tatiana; Singleton, Andrew B.; The International Parkinson Disease Genomics Consortium; Grünewald, Anne; Kaiser, Frank; Klein, Christine; Krawczak, Michael; Dempfle, Astrid; Medical and Molecular Genetics, School of MedicineThe effects of one genetic factor upon Parkinson’s disease (PD) risk may be modified by other genetic factors. Such gene-gene interaction (G×G) could explain some of the ‘missing heritability’ of PD and the reduced penetrance of known PD risk variants. Using the largest single nucleotide polymorphism (SNP) genotype data set currently available for PD (18,688 patients), provided by the International Parkinson’s Disease Genomics Consortium, we studied G×G with a case-only (CO) design. To this end, we paired each of 90 SNPs previously reported to be associated with PD with one of 7.8 million quality-controlled SNPs from a genome-wide panel. Support of any putative G×G interactions found was sought by the analysis of independent genotype-phenotype and experimental data. A total of 116 significant pairwise SNP genotype associations were identified in PD cases, pointing towards G×G. The most prominent associations involved a region on chromosome 12q containing SNP rs76904798, which is a non-coding variant of the LRRK2 gene. It yielded the lowest interaction p-value overall with SNP rs1007709 in the promoter region of the SYT10 gene (interaction OR = 1.80, 95% CI: 1.65–1.95, p = 2.7 × 10−43). SNPs around SYT10 were also associated with the age-at-onset of PD in an independent cohort of carriers of LRRK2 mutation p.G2019S. Moreover, SYT10 gene expression during neuronal development was found to differ between cells from affected and non-affected p.G2019S carriers. G×G interaction on PD risk, involving the LRRK2 and SYT10 gene regions, is biologically plausible owing to the known link between PD and LRRK2, its involvement in neural plasticity, and the contribution of SYT10 to the exocytosis of secretory vesicles in neurons.