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Identification of sixteen novel candidate genes for late onset Parkinson’s disease

BACKGROUND: Parkinson’s disease (PD) is a neurodegenerative movement disorder affecting 1–5% of the general population for which neither effective cure nor early diagnostic tools are available that could tackle the pathology in the early phase. Here we report a multi-stage procedure to identify cand...

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Autores principales: Gialluisi, Alessandro, Reccia, Mafalda Giovanna, Modugno, Nicola, Nutile, Teresa, Lombardi, Alessia, Di Giovannantonio, Luca Giovanni, Pietracupa, Sara, Ruggiero, Daniela, Scala, Simona, Gambardella, Stefano, Iacoviello, Licia, Gianfrancesco, Fernando, Acampora, Dario, D’Esposito, Maurizio, Simeone, Antonio, Ciullo, Marina, Esposito, Teresa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8215754/
https://www.ncbi.nlm.nih.gov/pubmed/34148545
http://dx.doi.org/10.1186/s13024-021-00455-2
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author Gialluisi, Alessandro
Reccia, Mafalda Giovanna
Modugno, Nicola
Nutile, Teresa
Lombardi, Alessia
Di Giovannantonio, Luca Giovanni
Pietracupa, Sara
Ruggiero, Daniela
Scala, Simona
Gambardella, Stefano
Iacoviello, Licia
Gianfrancesco, Fernando
Acampora, Dario
D’Esposito, Maurizio
Simeone, Antonio
Ciullo, Marina
Esposito, Teresa
author_facet Gialluisi, Alessandro
Reccia, Mafalda Giovanna
Modugno, Nicola
Nutile, Teresa
Lombardi, Alessia
Di Giovannantonio, Luca Giovanni
Pietracupa, Sara
Ruggiero, Daniela
Scala, Simona
Gambardella, Stefano
Iacoviello, Licia
Gianfrancesco, Fernando
Acampora, Dario
D’Esposito, Maurizio
Simeone, Antonio
Ciullo, Marina
Esposito, Teresa
author_sort Gialluisi, Alessandro
collection PubMed
description BACKGROUND: Parkinson’s disease (PD) is a neurodegenerative movement disorder affecting 1–5% of the general population for which neither effective cure nor early diagnostic tools are available that could tackle the pathology in the early phase. Here we report a multi-stage procedure to identify candidate genes likely involved in the etiopathogenesis of PD. METHODS: The study includes a discovery stage based on the analysis of whole exome data from 26 dominant late onset PD families, a validation analysis performed on 1542 independent PD patients and 706 controls from different cohorts and the assessment of polygenic variants load in the Italian cohort (394 unrelated patients and 203 controls). RESULTS: Family-based approach identified 28 disrupting variants in 26 candidate genes for PD including PARK2, PINK1, DJ-1(PARK7), LRRK2, HTRA2, FBXO7, EIF4G1, DNAJC6, DNAJC13, SNCAIP, AIMP2, CHMP1A, GIPC1, HMOX2, HSPA8, IMMT, KIF21B, KIF24, MAN2C1, RHOT2, SLC25A39, SPTBN1, TMEM175, TOMM22, TVP23A and ZSCAN21. Sixteen of them have not been associated to PD before, were expressed in mesencephalon and were involved in pathways potentially deregulated in PD. Mutation analysis in independent cohorts disclosed a significant excess of highly deleterious variants in cases (p = 0.0001), supporting their role in PD. Moreover, we demonstrated that the co-inheritance of multiple rare variants (≥ 2) in the 26 genes may predict PD occurrence in about 20% of patients, both familial and sporadic cases, with high specificity (> 93%; p = 4.4 × 10(− 5)). Moreover, our data highlight the fact that the genetic landmarks of late onset PD does not systematically differ between sporadic and familial forms, especially in the case of small nuclear families and underline the importance of rare variants in the genetics of sporadic PD. Furthermore, patients carrying multiple rare variants showed higher risk of manifesting dyskinesia induced by levodopa treatment. CONCLUSIONS: Besides confirming the extreme genetic heterogeneity of PD, these data provide novel insights into the genetic of the disease and may be relevant for its prediction, diagnosis and treatment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13024-021-00455-2.
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spelling pubmed-82157542021-06-23 Identification of sixteen novel candidate genes for late onset Parkinson’s disease Gialluisi, Alessandro Reccia, Mafalda Giovanna Modugno, Nicola Nutile, Teresa Lombardi, Alessia Di Giovannantonio, Luca Giovanni Pietracupa, Sara Ruggiero, Daniela Scala, Simona Gambardella, Stefano Iacoviello, Licia Gianfrancesco, Fernando Acampora, Dario D’Esposito, Maurizio Simeone, Antonio Ciullo, Marina Esposito, Teresa Mol Neurodegener Research Article BACKGROUND: Parkinson’s disease (PD) is a neurodegenerative movement disorder affecting 1–5% of the general population for which neither effective cure nor early diagnostic tools are available that could tackle the pathology in the early phase. Here we report a multi-stage procedure to identify candidate genes likely involved in the etiopathogenesis of PD. METHODS: The study includes a discovery stage based on the analysis of whole exome data from 26 dominant late onset PD families, a validation analysis performed on 1542 independent PD patients and 706 controls from different cohorts and the assessment of polygenic variants load in the Italian cohort (394 unrelated patients and 203 controls). RESULTS: Family-based approach identified 28 disrupting variants in 26 candidate genes for PD including PARK2, PINK1, DJ-1(PARK7), LRRK2, HTRA2, FBXO7, EIF4G1, DNAJC6, DNAJC13, SNCAIP, AIMP2, CHMP1A, GIPC1, HMOX2, HSPA8, IMMT, KIF21B, KIF24, MAN2C1, RHOT2, SLC25A39, SPTBN1, TMEM175, TOMM22, TVP23A and ZSCAN21. Sixteen of them have not been associated to PD before, were expressed in mesencephalon and were involved in pathways potentially deregulated in PD. Mutation analysis in independent cohorts disclosed a significant excess of highly deleterious variants in cases (p = 0.0001), supporting their role in PD. Moreover, we demonstrated that the co-inheritance of multiple rare variants (≥ 2) in the 26 genes may predict PD occurrence in about 20% of patients, both familial and sporadic cases, with high specificity (> 93%; p = 4.4 × 10(− 5)). Moreover, our data highlight the fact that the genetic landmarks of late onset PD does not systematically differ between sporadic and familial forms, especially in the case of small nuclear families and underline the importance of rare variants in the genetics of sporadic PD. Furthermore, patients carrying multiple rare variants showed higher risk of manifesting dyskinesia induced by levodopa treatment. CONCLUSIONS: Besides confirming the extreme genetic heterogeneity of PD, these data provide novel insights into the genetic of the disease and may be relevant for its prediction, diagnosis and treatment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13024-021-00455-2. BioMed Central 2021-06-21 /pmc/articles/PMC8215754/ /pubmed/34148545 http://dx.doi.org/10.1186/s13024-021-00455-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Gialluisi, Alessandro
Reccia, Mafalda Giovanna
Modugno, Nicola
Nutile, Teresa
Lombardi, Alessia
Di Giovannantonio, Luca Giovanni
Pietracupa, Sara
Ruggiero, Daniela
Scala, Simona
Gambardella, Stefano
Iacoviello, Licia
Gianfrancesco, Fernando
Acampora, Dario
D’Esposito, Maurizio
Simeone, Antonio
Ciullo, Marina
Esposito, Teresa
Identification of sixteen novel candidate genes for late onset Parkinson’s disease
title Identification of sixteen novel candidate genes for late onset Parkinson’s disease
title_full Identification of sixteen novel candidate genes for late onset Parkinson’s disease
title_fullStr Identification of sixteen novel candidate genes for late onset Parkinson’s disease
title_full_unstemmed Identification of sixteen novel candidate genes for late onset Parkinson’s disease
title_short Identification of sixteen novel candidate genes for late onset Parkinson’s disease
title_sort identification of sixteen novel candidate genes for late onset parkinson’s disease
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8215754/
https://www.ncbi.nlm.nih.gov/pubmed/34148545
http://dx.doi.org/10.1186/s13024-021-00455-2
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