Somatic mutations detected in Parkinson disease could affect genes with a role in synaptic and neuronal processes

The role of somatic mutations in complex diseases, including neurodevelopmental and neurodegenerative disorders, is becoming increasingly clear. However, to date, no study has shown their relation to Parkinson disease's phenotype. To explore the relevance of embryonic somatic mutations in s...

ver descrição completa

Detalhes bibliográficos
Autores: Lobon Garcia, Irene, Solís Moruno, Manuel, 1993-, Juan, David, Muhaisen, Ashraf, Abascal, Federico, Esteller Cucala, Paula, García Pérez, Raquel, 1989-, Martí, Maria José, Tolosa, Eduard, Ávila, Jesús, Rahbari, Raheleh, Marquès i Bonet, Tomàs, 1975-, Casals López, Ferran, Soriano, Eduardo
Tipo de documento: artigo
Estado:Versão publicada
Data de publicação:2022
País:España
Recursos:Universitat Pompeu Fabra
Repositório:Repositorio Digital de la UPF
OAI Identifier:oai:repositori.upf.edu:10230/57494
Acesso em linha:http://hdl.handle.net/10230/57494
http://dx.doi.org/10.3389/fragi.2022.851039
Access Level:Acceso aberto
Palavra-chave:Parkinson disease
Brain mosaicism
Neurodegenaration
Somatic genome alteration
Somatic mutations
Descrição
Resumo:The role of somatic mutations in complex diseases, including neurodevelopmental and neurodegenerative disorders, is becoming increasingly clear. However, to date, no study has shown their relation to Parkinson disease's phenotype. To explore the relevance of embryonic somatic mutations in sporadic Parkinson disease, we performed whole-exome sequencing in blood and four brain regions of ten patients. We identified 59 candidate somatic single nucleotide variants (sSNVs) through sensitive calling and a careful filtering strategy (COSMOS). We validated 27 of them with amplicon-based ultra-deep sequencing, with a 70% validation rate for the highest-confidence variants. The identified sSNVs are in genes with synaptic functions that are co-expressed with genes previously associated with Parkinson disease. Most of the sSNVs were only called in blood but were also found in the brain tissues with ultra-deep amplicon sequencing, demonstrating the strength of multi-tissue sampling designs.