The Foundational Data Initiative for Parkinson Disease: Enabling efficient translation from genetic maps to mechanism Article Swipe
Elisângela Bressan
,
Xylena Reed
,
V. Bansal
,
Elizabeth Hutchins
,
Melanie M. Cobb
,
Michelle G. Webb
,
Eric Alsop
,
Francis P. Grenn
,
Anastasia Illarionova
,
Natalia Savytska
,
Ivo Violich
,
Stefanie Broeer
,
Noémia Fernandes
,
Ramiyapriya Sivakumar
,
Alexandra Beilina
,
Kimberley J. Billingsley
,
Joos Berghausen
,
Caroline B. Pantazis
,
Vanessa Pitz
,
Dhairya Patel
,
Kensuke Daida
,
Bessie Meechoovet
,
Rebecca Reiman
,
Amanda Courtright-Lim
,
Amber Logemann
,
Jerry Antone
,
Mariya Barch
,
Robert R. Kitchen
,
Yan Li
,
Clifton L. Dalgard
,
Patrizia Rizzu
,
Dena Hernández
,
Brooke E. Hjelm
,
Mike A. Nalls
,
J. Raphael Gibbs
,
Steven Finkbeiner
,
Mark Cookson
,
Kendall Van Keuren‐Jensen
,
David W. Craig
,
Andrew Singleton
,
Peter Heutink
,
Cornelis Blauwendraat
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.xgen.2023.100261
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.xgen.2023.100261
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.
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- Type
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- Language
- en
- Landing Page
- https://doi.org/10.1016/j.xgen.2023.100261
- https://ars.els-cdn.com/content/image/1-s2.0-S2666979X23000174-fx1_lrg.jpg
- OA Status
- gold
- Cited By
- 44
- References
- 72
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4319312577
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Raw OpenAlex JSON
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https://openalex.org/W4319312577Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.xgen.2023.100261Digital Object Identifier
- Title
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The Foundational Data Initiative for Parkinson Disease: Enabling efficient translation from genetic maps to mechanismWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-02-06Full publication date if available
- Authors
-
Elisângela Bressan, Xylena Reed, V. Bansal, Elizabeth Hutchins, Melanie M. Cobb, Michelle G. Webb, Eric Alsop, Francis P. Grenn, Anastasia Illarionova, Natalia Savytska, Ivo Violich, Stefanie Broeer, Noémia Fernandes, Ramiyapriya Sivakumar, Alexandra Beilina, Kimberley J. Billingsley, Joos Berghausen, Caroline B. Pantazis, Vanessa Pitz, Dhairya Patel, Kensuke Daida, Bessie Meechoovet, Rebecca Reiman, Amanda Courtright-Lim, Amber Logemann, Jerry Antone, Mariya Barch, Robert R. Kitchen, Yan Li, Clifton L. Dalgard, Patrizia Rizzu, Dena Hernández, Brooke E. Hjelm, Mike A. Nalls, J. Raphael Gibbs, Steven Finkbeiner, Mark Cookson, Kendall Van Keuren‐Jensen, David W. Craig, Andrew Singleton, Peter Heutink, Cornelis BlauwendraatList of authors in order
- Landing page
-
https://doi.org/10.1016/j.xgen.2023.100261Publisher landing page
- PDF URL
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https://ars.els-cdn.com/content/image/1-s2.0-S2666979X23000174-fx1_lrg.jpgDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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-
https://ars.els-cdn.com/content/image/1-s2.0-S2666979X23000174-fx1_lrg.jpgDirect OA link when available
- Concepts
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Parkinson's disease, Induced pluripotent stem cell, Biology, Disease, Neuroscience, Context (archaeology), Epigenetics, Computational biology, Genetics, Evolutionary biology, Gene, Medicine, Pathology, Paleontology, Embryonic stem cellTop concepts (fields/topics) attached by OpenAlex
- Cited by
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44Total citation count in OpenAlex
- Citations by year (recent)
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2025: 12, 2024: 20, 2023: 8, 2022: 1, 2021: 3Per-year citation counts (last 5 years)
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72Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.Parkinson | 5, 16 |
| abstract_inverted_index.generated | 20, 82 |
| abstract_inverted_index.molecular | 23, 98, 106, 144 |
| abstract_inverted_index.monogenic | 64 |
| abstract_inverted_index.producing | 12 |
| abstract_inverted_index.proximate | 105 |
| abstract_inverted_index.resources | 14 |
| abstract_inverted_index.variants, | 66 |
| abstract_inverted_index.variation | 103 |
| abstract_inverted_index.FOUNDIN-PD | 19, 135 |
| abstract_inverted_index.Initiative | 3, 56 |
| abstract_inverted_index.identified | 73 |
| abstract_inverted_index.integrated | 130 |
| abstract_inverted_index.unaffected | 79 |
| abstract_inverted_index.understand | 97 |
| abstract_inverted_index.Parkinson's | 53 |
| abstract_inverted_index.Progression | 54 |
| abstract_inverted_index.association | 76 |
| abstract_inverted_index.epigenetic, | 84 |
| abstract_inverted_index.fundamental | 13 |
| abstract_inverted_index.genome-wide | 75 |
| abstract_inverted_index.pluripotent | 30 |
| abstract_inverted_index.regulatory, | 85 |
| abstract_inverted_index.(FOUNDIN-PD) | 7 |
| abstract_inverted_index.Foundational | 1 |
| abstract_inverted_index.dopaminergic | 37 |
| abstract_inverted_index.foundational | 121 |
| abstract_inverted_index.iPSC-derived | 93, 112 |
| abstract_inverted_index.individuals. | 80 |
| abstract_inverted_index.intermediate | 69 |
| abstract_inverted_index.longitudinal | 88 |
| abstract_inverted_index.participants | 60 |
| abstract_inverted_index.pathogenesis | 145 |
| abstract_inverted_index.collaboration | 11 |
| abstract_inverted_index.international | 10 |
| abstract_inverted_index.multi-layered | 22 |
| abstract_inverted_index.relationships | 99 |
| abstract_inverted_index.understanding | 142 |
| abstract_inverted_index.differentiated | 35 |
| abstract_inverted_index.transcriptomic, | 86 |
| abstract_inverted_index.disease-associated | 101 |
| cited_by_percentile_year.max | 100 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5078093706 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 42 |
| corresponding_institution_ids | https://openalex.org/I2801533059 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/17 |
| sustainable_development_goals[0].score | 0.5600000023841858 |
| sustainable_development_goals[0].display_name | Partnerships for the goals |
| citation_normalized_percentile.value | 0.99024947 |
| citation_normalized_percentile.is_in_top_1_percent | True |
| citation_normalized_percentile.is_in_top_10_percent | True |