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Accelerating Medicines Partnership: Parkinson's Disease. Genetic Resource

BACKGROUND: Whole‐genome sequencing data are available from several large studies across a variety of diseases and traits. However, massive storage and computation resources are required to use these data, and to achieve sufficient power for discoveries, harmonization of multiple cohorts is critical...

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Autores principales: Iwaki, Hirotaka, Leonard, Hampton L., Makarious, Mary B., Bookman, Matt, Landin, Barry, Vismer, David, Casey, Bradford, Gibbs, J. Raphael, Hernandez, Dena G., Blauwendraat, Cornelis, Vitale, Daniel, Song, Yeajin, Kumar, Dinesh, Dalgard, Clifton L., Sadeghi, Mahdiar, Dong, Xianjun, Misquitta, Leonie, Scholz, Sonja W., Scherzer, Clemens R., Nalls, Mike A., Biswas, Shameek, Singleton, Andrew B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8453903/
https://www.ncbi.nlm.nih.gov/pubmed/33960523
http://dx.doi.org/10.1002/mds.28549
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author Iwaki, Hirotaka
Leonard, Hampton L.
Makarious, Mary B.
Bookman, Matt
Landin, Barry
Vismer, David
Casey, Bradford
Gibbs, J. Raphael
Hernandez, Dena G.
Blauwendraat, Cornelis
Vitale, Daniel
Song, Yeajin
Kumar, Dinesh
Dalgard, Clifton L.
Sadeghi, Mahdiar
Dong, Xianjun
Misquitta, Leonie
Scholz, Sonja W.
Scherzer, Clemens R.
Nalls, Mike A.
Biswas, Shameek
Singleton, Andrew B.
author_facet Iwaki, Hirotaka
Leonard, Hampton L.
Makarious, Mary B.
Bookman, Matt
Landin, Barry
Vismer, David
Casey, Bradford
Gibbs, J. Raphael
Hernandez, Dena G.
Blauwendraat, Cornelis
Vitale, Daniel
Song, Yeajin
Kumar, Dinesh
Dalgard, Clifton L.
Sadeghi, Mahdiar
Dong, Xianjun
Misquitta, Leonie
Scholz, Sonja W.
Scherzer, Clemens R.
Nalls, Mike A.
Biswas, Shameek
Singleton, Andrew B.
author_sort Iwaki, Hirotaka
collection PubMed
description BACKGROUND: Whole‐genome sequencing data are available from several large studies across a variety of diseases and traits. However, massive storage and computation resources are required to use these data, and to achieve sufficient power for discoveries, harmonization of multiple cohorts is critical. OBJECTIVES: The Accelerating Medicines Partnership Parkinson's Disease program has developed a research platform for Parkinson's disease (PD) that integrates the storage and analysis of whole‐genome sequencing data, RNA expression data, and clinical data, harmonized across multiple cohort studies. METHODS: The version 1 release contains whole‐genome sequencing data derived from 3941 participants from 4 cohorts. Samples underwent joint genotyping by the TOPMed Freeze 9 Variant Calling Pipeline. We performed descriptive analyses of these whole‐genome sequencing data using the Accelerating Medicines Partnership Parkinson's Disease platform. RESULTS: The clinical diagnosis of participants in version 1 release includes 2005 idiopathic PD patients, 963 healthy controls, 64 prodromal subjects, 62 clinically diagnosed PD subjects without evidence of dopamine deficit, and 705 participants of genetically enriched cohorts carrying PD risk‐associated GBA variants or LRRK2 variants, of whom 304 were affected. We did not observe significant enrichment of pathogenic variants in the idiopathic PD group, but the polygenic risk score was higher in PD both in nongenetically enriched cohorts and genetically enriched cohorts. The population analysis showed a correlation between genetically enriched cohorts and Ashkenazi Jewish ancestry. CONCLUSIONS: We describe the genetic component of the Accelerating Medicines Partnership Parkinson's Disease platform, a solution to democratize data access and analysis for the PD research community. © 2021 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society. This article is a U.S. Government work and is in the public domain in the USA.
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spelling pubmed-84539032021-09-27 Accelerating Medicines Partnership: Parkinson's Disease. Genetic Resource Iwaki, Hirotaka Leonard, Hampton L. Makarious, Mary B. Bookman, Matt Landin, Barry Vismer, David Casey, Bradford Gibbs, J. Raphael Hernandez, Dena G. Blauwendraat, Cornelis Vitale, Daniel Song, Yeajin Kumar, Dinesh Dalgard, Clifton L. Sadeghi, Mahdiar Dong, Xianjun Misquitta, Leonie Scholz, Sonja W. Scherzer, Clemens R. Nalls, Mike A. Biswas, Shameek Singleton, Andrew B. Mov Disord Regular Issue Articles BACKGROUND: Whole‐genome sequencing data are available from several large studies across a variety of diseases and traits. However, massive storage and computation resources are required to use these data, and to achieve sufficient power for discoveries, harmonization of multiple cohorts is critical. OBJECTIVES: The Accelerating Medicines Partnership Parkinson's Disease program has developed a research platform for Parkinson's disease (PD) that integrates the storage and analysis of whole‐genome sequencing data, RNA expression data, and clinical data, harmonized across multiple cohort studies. METHODS: The version 1 release contains whole‐genome sequencing data derived from 3941 participants from 4 cohorts. Samples underwent joint genotyping by the TOPMed Freeze 9 Variant Calling Pipeline. We performed descriptive analyses of these whole‐genome sequencing data using the Accelerating Medicines Partnership Parkinson's Disease platform. RESULTS: The clinical diagnosis of participants in version 1 release includes 2005 idiopathic PD patients, 963 healthy controls, 64 prodromal subjects, 62 clinically diagnosed PD subjects without evidence of dopamine deficit, and 705 participants of genetically enriched cohorts carrying PD risk‐associated GBA variants or LRRK2 variants, of whom 304 were affected. We did not observe significant enrichment of pathogenic variants in the idiopathic PD group, but the polygenic risk score was higher in PD both in nongenetically enriched cohorts and genetically enriched cohorts. The population analysis showed a correlation between genetically enriched cohorts and Ashkenazi Jewish ancestry. CONCLUSIONS: We describe the genetic component of the Accelerating Medicines Partnership Parkinson's Disease platform, a solution to democratize data access and analysis for the PD research community. © 2021 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society. This article is a U.S. Government work and is in the public domain in the USA. John Wiley & Sons, Inc. 2021-05-07 2021-08 /pmc/articles/PMC8453903/ /pubmed/33960523 http://dx.doi.org/10.1002/mds.28549 Text en © 2021 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society. This article is a U.S. Government work and is in the public domain in the USA. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Regular Issue Articles
Iwaki, Hirotaka
Leonard, Hampton L.
Makarious, Mary B.
Bookman, Matt
Landin, Barry
Vismer, David
Casey, Bradford
Gibbs, J. Raphael
Hernandez, Dena G.
Blauwendraat, Cornelis
Vitale, Daniel
Song, Yeajin
Kumar, Dinesh
Dalgard, Clifton L.
Sadeghi, Mahdiar
Dong, Xianjun
Misquitta, Leonie
Scholz, Sonja W.
Scherzer, Clemens R.
Nalls, Mike A.
Biswas, Shameek
Singleton, Andrew B.
Accelerating Medicines Partnership: Parkinson's Disease. Genetic Resource
title Accelerating Medicines Partnership: Parkinson's Disease. Genetic Resource
title_full Accelerating Medicines Partnership: Parkinson's Disease. Genetic Resource
title_fullStr Accelerating Medicines Partnership: Parkinson's Disease. Genetic Resource
title_full_unstemmed Accelerating Medicines Partnership: Parkinson's Disease. Genetic Resource
title_short Accelerating Medicines Partnership: Parkinson's Disease. Genetic Resource
title_sort accelerating medicines partnership: parkinson's disease. genetic resource
topic Regular Issue Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8453903/
https://www.ncbi.nlm.nih.gov/pubmed/33960523
http://dx.doi.org/10.1002/mds.28549
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