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000257318 0247_ $$2doi$$a10.1016/j.xgen.2023.100261
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000257318 1001_ $$0P:(DE-2719)2812124$$aBressan, Elisangela$$b0$$eFirst author$$udzne
000257318 245__ $$aThe Foundational Data Initiative for Parkinson Disease: Enabling efficient translation from genetic maps to mechanism.
000257318 260__ $$aAmsterdam$$bElsevier$$c2023
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000257318 520__ $$aThe Foundational Data Initiative for Parkinson Disease (FOUNDIN-PD) is an international collaboration producing fundamental resources for Parkinson disease (PD). FOUNDIN-PD generated a multi-layered molecular dataset in a cohort of induced pluripotent stem cell (iPSC) lines differentiated to dopaminergic (DA) neurons, a major affected cell type in PD. The lines were derived from the Parkinson's Progression Markers Initiative study, which included participants with PD carrying monogenic PD variants, variants with intermediate effects, and variants identified by genome-wide association studies and unaffected individuals. We generated genetic, epigenetic, regulatory, transcriptomic, and longitudinal cellular imaging data from iPSC-derived DA neurons to understand molecular relationships between disease-associated genetic variation and proximate molecular events. These data reveal that iPSC-derived DA neurons provide a valuable cellular context and foundational atlas for modeling PD genetic risk. We have integrated these data into a FOUNDIN-PD data browser as a resource for understanding the molecular pathogenesis of PD.
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000257318 650_7 $$2Other$$aParkinson disease
000257318 650_7 $$2Other$$adopaminergic neurons
000257318 650_7 $$2Other$$agenetic risk
000257318 650_7 $$2Other$$ainduced pluripotent stem cell
000257318 650_7 $$2Other$$aomics single-cell RNA sequencing single-cell ATAC sequencing SNCA LRRK2 GBA1
000257318 7001_ $$aReed, Xylena$$b1
000257318 7001_ $$0P:(DE-2719)2812055$$aBansal, Vikas$$b2$$udzne
000257318 7001_ $$aHutchins, Elizabeth$$b3
000257318 7001_ $$aCobb, Melanie M$$b4
000257318 7001_ $$aWebb, Michelle G$$b5
000257318 7001_ $$aAlsop, Eric$$b6
000257318 7001_ $$aGrenn, Francis P$$b7
000257318 7001_ $$0P:(DE-2719)2812762$$aIllarionova, Anastasia$$b8$$udzne
000257318 7001_ $$0P:(DE-2719)2812754$$aSavytska, Natalia$$b9$$udzne
000257318 7001_ $$aViolich, Ivo$$b10
000257318 7001_ $$0P:(DE-2719)2812710$$aBröer, Stefanie$$b11$$udzne
000257318 7001_ $$0P:(DE-2719)2811866$$aAlves Fernandes, Noemia Rita$$b12$$udzne
000257318 7001_ $$aSivakumar, Ramiyapriya$$b13
000257318 7001_ $$aBeilina, Alexandra$$b14
000257318 7001_ $$aBillingsley, Kimberley J$$b15
000257318 7001_ $$aBerghausen, Joos$$b16
000257318 7001_ $$aPantazis, Caroline B$$b17
000257318 7001_ $$aPitz, Vanessa$$b18
000257318 7001_ $$aPatel, Dhairya$$b19
000257318 7001_ $$aDaida, Kensuke$$b20
000257318 7001_ $$aMeechoovet, Bessie$$b21
000257318 7001_ $$aReiman, Rebecca$$b22
000257318 7001_ $$aCourtright-Lim, Amanda$$b23
000257318 7001_ $$aLogemann, Amber$$b24
000257318 7001_ $$aAntone, Jerry$$b25
000257318 7001_ $$aBarch, Mariya$$b26
000257318 7001_ $$aKitchen, Robert$$b27
000257318 7001_ $$aLi, Yan$$b28
000257318 7001_ $$aDalgard, Clifton L$$b29
000257318 7001_ $$aCenter, American Genome$$b30$$eCollaboration Author
000257318 7001_ $$0P:(DE-2719)2810718$$aRizzu, Patrizia$$b31$$udzne
000257318 7001_ $$0P:(DE-2719)2812102$$aHernandez, Dena Michelle Godwin$$b32$$udzne
000257318 7001_ $$aHjelm, Brooke E$$b33
000257318 7001_ $$aNalls, Mike$$b34
000257318 7001_ $$aGibbs, J Raphael$$b35
000257318 7001_ $$aFinkbeiner, Steven$$b36
000257318 7001_ $$aCookson, Mark R$$b37
000257318 7001_ $$aVan Keuren-Jensen, Kendall$$b38
000257318 7001_ $$aCraig, David W$$b39
000257318 7001_ $$aSingleton, Andrew B$$b40
000257318 7001_ $$0P:(DE-2719)2810728$$aHeutink, Peter$$b41$$udzne
000257318 7001_ $$0P:(DE-2719)2810837$$aBlauwendraat, Cornelis$$b42$$udzne
000257318 773__ $$0PERI:(DE-600)3110160-4$$a10.1016/j.xgen.2023.100261$$gVol. 3, no. 3, p. 100261 -$$n3$$p100261$$tCell genomics$$v3$$x2666-979X$$y2023
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