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Immune signatures and disorder-specific patterns in a cross-disorder gene expression analysis

Background Recent studies point to overlap between neuropsychiatric disorders in symptomatology and genetic aetiology. Aims To systematically investigate genomics overlap between childhood and adult attention-deficit hyperactivity disorder (ADHD), autism spectrum disorder (ASD) and major depressive...

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Detalles Bibliográficos
Autores principales: de Jong, Simone, Newhouse, Stephen J., Patel, Hamel, Lee, Sanghyuck, Dempster, David, Curtis, Charles, Paya-Cano, Jose, Murphy, Declan, Wilson, C. Ellie, Horder, Jamie, Mendez, M. Andreina, Asherson, Philip, Rivera, Margarita, Costello, Helen, Maltezos, Stefanos, Whitwell, Susannah, Pitts, Mark, Tye, Charlotte, Ashwood, Karen L., Bolton, Patrick, Curran, Sarah, McGuffin, Peter, Dobson, Richard, Breen, Gerome
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Royal College of Psychiatrists 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5007452/
https://www.ncbi.nlm.nih.gov/pubmed/27151072
http://dx.doi.org/10.1192/bjp.bp.115.175471
Descripción
Sumario:Background Recent studies point to overlap between neuropsychiatric disorders in symptomatology and genetic aetiology. Aims To systematically investigate genomics overlap between childhood and adult attention-deficit hyperactivity disorder (ADHD), autism spectrum disorder (ASD) and major depressive disorder (MDD). Method Analysis of whole-genome blood gene expression and genetic risk scores of 318 individuals. Participants included individuals affected with adult ADHD (n = 93), childhood ADHD (n = 17), MDD (n = 63), ASD (n = 51), childhood dual diagnosis of ADHD–ASD (n = 16) and healthy controls (n = 78). Results Weighted gene co-expression analysis results reveal disorder-specific signatures for childhood ADHD and MDD, and also highlight two immune-related gene co-expression modules correlating inversely with MDD and adult ADHD disease status. We find no significant relationship between polygenic risk scores and gene expression signatures. Conclusions Our results reveal disorder overlap and specificity at the genetic and gene expression level. They suggest new pathways contributing to distinct pathophysiology in psychiatric disorders and shed light on potential shared genomic risk factors.