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The Foundational Data Initiative for Parkinson Disease: Enabling efficient translation from genetic maps to mechanism
The 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 dopamin...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10025424/ https://www.ncbi.nlm.nih.gov/pubmed/36950378 http://dx.doi.org/10.1016/j.xgen.2023.100261 |
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author | Bressan, Elisangela Reed, Xylena Bansal, Vikas Hutchins, Elizabeth Cobb, Melanie M. Webb, Michelle G. Alsop, Eric Grenn, Francis P. Illarionova, Anastasia Savytska, Natalia Violich, Ivo Broeer, Stefanie Fernandes, Noémia Sivakumar, Ramiyapriya Beilina, Alexandra Billingsley, Kimberley J. Berghausen, Joos Pantazis, Caroline B. Pitz, Vanessa Patel, Dhairya Daida, Kensuke Meechoovet, Bessie Reiman, Rebecca Courtright-Lim, Amanda Logemann, Amber Antone, Jerry Barch, Mariya Kitchen, Robert Li, Yan Dalgard, Clifton L. Rizzu, Patrizia Hernandez, Dena G. Hjelm, Brooke E. Nalls, Mike Gibbs, J. Raphael Finkbeiner, Steven Cookson, Mark R. Van Keuren-Jensen, Kendall Craig, David W. Singleton, Andrew B. Heutink, Peter Blauwendraat, Cornelis |
author_facet | Bressan, Elisangela Reed, Xylena Bansal, Vikas Hutchins, Elizabeth Cobb, Melanie M. Webb, Michelle G. Alsop, Eric Grenn, Francis P. Illarionova, Anastasia Savytska, Natalia Violich, Ivo Broeer, Stefanie Fernandes, Noémia Sivakumar, Ramiyapriya Beilina, Alexandra Billingsley, Kimberley J. Berghausen, Joos Pantazis, Caroline B. Pitz, Vanessa Patel, Dhairya Daida, Kensuke Meechoovet, Bessie Reiman, Rebecca Courtright-Lim, Amanda Logemann, Amber Antone, Jerry Barch, Mariya Kitchen, Robert Li, Yan Dalgard, Clifton L. Rizzu, Patrizia Hernandez, Dena G. Hjelm, Brooke E. Nalls, Mike Gibbs, J. Raphael Finkbeiner, Steven Cookson, Mark R. Van Keuren-Jensen, Kendall Craig, David W. Singleton, Andrew B. Heutink, Peter Blauwendraat, Cornelis |
author_sort | Bressan, Elisangela |
collection | PubMed |
description | The 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. |
format | Online Article Text |
id | pubmed-10025424 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-100254242023-03-21 The Foundational Data Initiative for Parkinson Disease: Enabling efficient translation from genetic maps to mechanism Bressan, Elisangela Reed, Xylena Bansal, Vikas Hutchins, Elizabeth Cobb, Melanie M. Webb, Michelle G. Alsop, Eric Grenn, Francis P. Illarionova, Anastasia Savytska, Natalia Violich, Ivo Broeer, Stefanie Fernandes, Noémia Sivakumar, Ramiyapriya Beilina, Alexandra Billingsley, Kimberley J. Berghausen, Joos Pantazis, Caroline B. Pitz, Vanessa Patel, Dhairya Daida, Kensuke Meechoovet, Bessie Reiman, Rebecca Courtright-Lim, Amanda Logemann, Amber Antone, Jerry Barch, Mariya Kitchen, Robert Li, Yan Dalgard, Clifton L. Rizzu, Patrizia Hernandez, Dena G. Hjelm, Brooke E. Nalls, Mike Gibbs, J. Raphael Finkbeiner, Steven Cookson, Mark R. Van Keuren-Jensen, Kendall Craig, David W. Singleton, Andrew B. Heutink, Peter Blauwendraat, Cornelis Cell Genom Resource The 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. Elsevier 2023-02-06 /pmc/articles/PMC10025424/ /pubmed/36950378 http://dx.doi.org/10.1016/j.xgen.2023.100261 Text en https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Resource Bressan, Elisangela Reed, Xylena Bansal, Vikas Hutchins, Elizabeth Cobb, Melanie M. Webb, Michelle G. Alsop, Eric Grenn, Francis P. Illarionova, Anastasia Savytska, Natalia Violich, Ivo Broeer, Stefanie Fernandes, Noémia Sivakumar, Ramiyapriya Beilina, Alexandra Billingsley, Kimberley J. Berghausen, Joos Pantazis, Caroline B. Pitz, Vanessa Patel, Dhairya Daida, Kensuke Meechoovet, Bessie Reiman, Rebecca Courtright-Lim, Amanda Logemann, Amber Antone, Jerry Barch, Mariya Kitchen, Robert Li, Yan Dalgard, Clifton L. Rizzu, Patrizia Hernandez, Dena G. Hjelm, Brooke E. Nalls, Mike Gibbs, J. Raphael Finkbeiner, Steven Cookson, Mark R. Van Keuren-Jensen, Kendall Craig, David W. Singleton, Andrew B. Heutink, Peter Blauwendraat, Cornelis The Foundational Data Initiative for Parkinson Disease: Enabling efficient translation from genetic maps to mechanism |
title | The Foundational Data Initiative for Parkinson Disease: Enabling efficient translation from genetic maps to mechanism |
title_full | The Foundational Data Initiative for Parkinson Disease: Enabling efficient translation from genetic maps to mechanism |
title_fullStr | The Foundational Data Initiative for Parkinson Disease: Enabling efficient translation from genetic maps to mechanism |
title_full_unstemmed | The Foundational Data Initiative for Parkinson Disease: Enabling efficient translation from genetic maps to mechanism |
title_short | The Foundational Data Initiative for Parkinson Disease: Enabling efficient translation from genetic maps to mechanism |
title_sort | foundational data initiative for parkinson disease: enabling efficient translation from genetic maps to mechanism |
topic | Resource |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10025424/ https://www.ncbi.nlm.nih.gov/pubmed/36950378 http://dx.doi.org/10.1016/j.xgen.2023.100261 |
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