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Leveraging sex-genetic interactions to understand brain disorders: recent advances and current gaps.
Neale, Nikita; Lona-Durazo, Frida; Ryten, Mina; Gagliano Taliun, Sarah A.
Affiliation
  • Neale N; Faculty of Medicine, Université de Montréal, Québec, H3C 3J7  Canada.
  • Lona-Durazo F; Faculty of Medicine, Université de Montréal, Québec, H3C 3J7  Canada.
  • Ryten M; Research Centre, Montreal Heart Institute, Québec, H1T 1C8  Canada.
  • Gagliano Taliun SA; Department of Genetics and Genomic Medicine, Great Ormond Street Institute of Child Health, WC1N 1EH London, UK.
Brain Commun ; 6(3): fcae192, 2024.
Article in En | MEDLINE | ID: mdl-38894947
ABSTRACT
It is established that there are sex differences in terms of prevalence, age of onset, clinical manifestations, and response to treatment for a variety of brain disorders, including neurodevelopmental, psychiatric, and neurodegenerative disorders. Cohorts of increasing sample sizes with diverse data types collected, including genetic, transcriptomic and/or phenotypic data, are providing the building blocks to permit analytical designs to test for sex-biased genetic variant-trait associations, and for sex-biased transcriptional regulation. Such molecular assessments can contribute to our understanding of the manifested phenotypic differences between the sexes for brain disorders, offering the future possibility of delivering personalized therapy for females and males. With the intention of raising the profile of this field as a research priority, this review aims to shed light on the importance of investigating sex-genetic interactions for brain disorders, focusing on two areas (i) variant-trait associations and (ii) transcriptomics (i.e. gene expression, transcript usage and regulation). We specifically discuss recent advances in the field, current gaps and provide considerations for future studies.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Brain Commun Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Brain Commun Year: 2024 Document type: Article