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A population scale analysis of rare SNCA variation in the UK Biobank

Parkinson’s disease (PD) is a complex neurodegenerative disease with a variety of genetic and environmental factors contributing to disease. The SNCA gene encodes for the alpha-synuclein protein which plays a central role in PD, where aggregates of this protein are one of the pathological hallmarks...

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Autores principales: Blauwendraat, Cornelis, Makarious, Mary B., Leonard, Hampton L., Bandres-Ciga, Sara, Iwaki, Hirotaka, Nalls, Mike A., Noyce, Alastair J., Singleton, Andrew B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7880248/
https://www.ncbi.nlm.nih.gov/pubmed/33307186
http://dx.doi.org/10.1016/j.nbd.2020.105182
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author Blauwendraat, Cornelis
Makarious, Mary B.
Leonard, Hampton L.
Bandres-Ciga, Sara
Iwaki, Hirotaka
Nalls, Mike A.
Noyce, Alastair J.
Singleton, Andrew B.
author_facet Blauwendraat, Cornelis
Makarious, Mary B.
Leonard, Hampton L.
Bandres-Ciga, Sara
Iwaki, Hirotaka
Nalls, Mike A.
Noyce, Alastair J.
Singleton, Andrew B.
author_sort Blauwendraat, Cornelis
collection PubMed
description Parkinson’s disease (PD) is a complex neurodegenerative disease with a variety of genetic and environmental factors contributing to disease. The SNCA gene encodes for the alpha-synuclein protein which plays a central role in PD, where aggregates of this protein are one of the pathological hallmarks of disease. Rare point mutations and copy number gains of the SNCA gene have been shown to cause autosomal dominant PD, and common DNA variants identified using Genome-Wide Association Studies (GWAS) are a moderate risk factor for PD. The UK Biobank is a large-scale population prospective study including ~500,000 individuals that has revolutionized human genetics. Here we assessed the frequency of SNCA variation in this cohort and identified 30 subjects carrying variants of interest including duplications (n =6), deletions (n =6) and large complex likely mosaic events (n =18). No known pathogenic missense variants were identified. None of these subjects were reported to be a PD case, although it is possible that these individuals may develop PD at a later age, and whilst three had known prodromal features, these did not meet defined clinical criteria for being considered ‘prodromal’ cases. Seven of the 18 large complex carriers showed a history of blood based cancer. Overall, we identified copy number variants in the SNCA region in a large population based cohort without reported PD phenotype and symptoms. Putative mosaicism of the SNCA gene was identified, however, it is unclear whether it is associated with PD. These individuals are potential candidates for further investigation by performing SNCA RNA and protein expression studies, as well as promising clinical trial candidates to understand how duplication carriers potentially escape PD.
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spelling pubmed-78802482021-02-12 A population scale analysis of rare SNCA variation in the UK Biobank Blauwendraat, Cornelis Makarious, Mary B. Leonard, Hampton L. Bandres-Ciga, Sara Iwaki, Hirotaka Nalls, Mike A. Noyce, Alastair J. Singleton, Andrew B. Neurobiol Dis Article Parkinson’s disease (PD) is a complex neurodegenerative disease with a variety of genetic and environmental factors contributing to disease. The SNCA gene encodes for the alpha-synuclein protein which plays a central role in PD, where aggregates of this protein are one of the pathological hallmarks of disease. Rare point mutations and copy number gains of the SNCA gene have been shown to cause autosomal dominant PD, and common DNA variants identified using Genome-Wide Association Studies (GWAS) are a moderate risk factor for PD. The UK Biobank is a large-scale population prospective study including ~500,000 individuals that has revolutionized human genetics. Here we assessed the frequency of SNCA variation in this cohort and identified 30 subjects carrying variants of interest including duplications (n =6), deletions (n =6) and large complex likely mosaic events (n =18). No known pathogenic missense variants were identified. None of these subjects were reported to be a PD case, although it is possible that these individuals may develop PD at a later age, and whilst three had known prodromal features, these did not meet defined clinical criteria for being considered ‘prodromal’ cases. Seven of the 18 large complex carriers showed a history of blood based cancer. Overall, we identified copy number variants in the SNCA region in a large population based cohort without reported PD phenotype and symptoms. Putative mosaicism of the SNCA gene was identified, however, it is unclear whether it is associated with PD. These individuals are potential candidates for further investigation by performing SNCA RNA and protein expression studies, as well as promising clinical trial candidates to understand how duplication carriers potentially escape PD. 2020-12-08 2021-01 /pmc/articles/PMC7880248/ /pubmed/33307186 http://dx.doi.org/10.1016/j.nbd.2020.105182 Text en This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) (http://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Article
Blauwendraat, Cornelis
Makarious, Mary B.
Leonard, Hampton L.
Bandres-Ciga, Sara
Iwaki, Hirotaka
Nalls, Mike A.
Noyce, Alastair J.
Singleton, Andrew B.
A population scale analysis of rare SNCA variation in the UK Biobank
title A population scale analysis of rare SNCA variation in the UK Biobank
title_full A population scale analysis of rare SNCA variation in the UK Biobank
title_fullStr A population scale analysis of rare SNCA variation in the UK Biobank
title_full_unstemmed A population scale analysis of rare SNCA variation in the UK Biobank
title_short A population scale analysis of rare SNCA variation in the UK Biobank
title_sort population scale analysis of rare snca variation in the uk biobank
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7880248/
https://www.ncbi.nlm.nih.gov/pubmed/33307186
http://dx.doi.org/10.1016/j.nbd.2020.105182
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