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Identification of novel driver risk genes in CNV loci associated with neurodevelopmental disorders.
Azidane, Sara; Gallego, Xavier; Durham, Lynn; Cáceres, Mario; Guney, Emre; Pérez-Cano, Laura.
Afiliação
  • Azidane S; STALICLA Discovery and Data Science Unit, World Trade Center, Moll de Barcelona, Edif Este, 08039 Barcelona, Spain; Institut de Biotecnologia i de Biomedicina, Universitat Autònoma de Barcelona, Bellaterra, 08193 Barcelona, Spain.
  • Gallego X; STALICLA Discovery and Data Science Unit, World Trade Center, Moll de Barcelona, Edif Este, 08039 Barcelona, Spain.
  • Durham L; STALICLA Discovery and Data Science Unit, World Trade Center, Moll de Barcelona, Edif Este, 08039 Barcelona, Spain.
  • Cáceres M; Institut de Biotecnologia i de Biomedicina, Universitat Autònoma de Barcelona, Bellaterra, 08193 Barcelona, Spain; ICREA, 08010 Barcelona, Spain; Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Research Institute, Barcelona, Spain.
  • Guney E; STALICLA Discovery and Data Science Unit, World Trade Center, Moll de Barcelona, Edif Este, 08039 Barcelona, Spain.
  • Pérez-Cano L; STALICLA Discovery and Data Science Unit, World Trade Center, Moll de Barcelona, Edif Este, 08039 Barcelona, Spain. Electronic address: laura.perez-cano@stalicla.com.
HGG Adv ; 5(3): 100316, 2024 Jul 18.
Article em En | MEDLINE | ID: mdl-38850022
ABSTRACT
Copy-number variants (CNVs) are genome-wide structural variations involving the duplication or deletion of large nucleotide sequences. While these types of variations can be commonly found in humans, large and rare CNVs are known to contribute to the development of various neurodevelopmental disorders (NDDs), including autism spectrum disorder (ASD). Nevertheless, given that these NDD-risk CNVs cover broad regions of the genome, it is particularly challenging to pinpoint the critical gene(s) responsible for the manifestation of the phenotype. In this study, we performed a meta-analysis of CNV data from 11,614 affected individuals with NDDs and 4,031 control individuals from SFARI database to identify 41 NDD-risk CNV loci, including 24 novel regions. We also found evidence for dosage-sensitive genes within these regions being significantly enriched for known NDD-risk genes and pathways. In addition, a significant proportion of these genes was found to (1) converge in protein-protein interaction networks, (2) be among most expressed genes in the brain across all developmental stages, and (3) be hit by deletions that are significantly over-transmitted to individuals with ASD within multiplex ASD families from the iHART cohort. Finally, we conducted a burden analysis using 4,281 NDD cases from Decipher and iHART cohorts, and 2,504 neurotypical control individuals from 1000 Genomes and iHART, which resulted in the validation of the association of 162 dosage-sensitive genes driving risk for NDDs, including 22 novel NDD-risk genes. Importantly, most NDD-risk CNV loci entail multiple NDD-risk genes in agreement with a polygenic model associated with the majority of NDD cases.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Predisposição Genética para Doença / Variações do Número de Cópias de DNA / Transtornos do Neurodesenvolvimento / Transtorno do Espectro Autista Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Predisposição Genética para Doença / Variações do Número de Cópias de DNA / Transtornos do Neurodesenvolvimento / Transtorno do Espectro Autista Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article