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. 2023 Apr;22(2):e12838.
doi: 10.1111/gbb.12838. Epub 2023 Feb 21.

Polygenic risk score for attention-deficit/hyperactivity disorder and brain functional networks segregation in a community-based sample

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Polygenic risk score for attention-deficit/hyperactivity disorder and brain functional networks segregation in a community-based sample

João Ricardo Sato et al. Genes Brain Behav. 2023 Apr.

Abstract

Neuroimaging studies suggest that brain development mechanisms might explain at least some behavioural and cognitive attention-deficit/hyperactivity disorder (ADHD) symptoms. However, the putative mechanisms by which genetic susceptibility factors influence clinical features via alterations of brain development remain largely unknown. Here, we set out to integrate genomics and connectomics tools by investigating the associations between an ADHD polygenic risk score (ADHD-PRS) and functional segregation of large-scale brain networks. With this aim, ADHD symptoms score, genetic and rs-fMRI (resting-state functional magnetic resonance image) data obtained in a longitudinal community-based cohort of 227 children and adolescents were analysed. A follow-up was conducted approximately 3 years after the baseline, with rs-fMRI scanning and ADHD likelihood assessment in both stages. We hypothesised a negative correlation between probable ADHD and the segregation of networks involved in executive functions, and a positive correlation with the default-mode network (DMN). Our findings suggest that ADHD-PRS is correlated with ADHD at baseline, but not at follow-up. Despite not surviving for multiple comparison correction, we found significant correlations between ADHD-PRS and segregation of cingulo-opercular networks and DMN at baseline. ADHD-PRS was negatively correlated with the segregation level of cingulo-opercular networks but positively correlated with the DMN segregation. These directions of associations corroborate the proposed counter-balanced role of attentional networks and DMN in attentional processes. However, the association between ADHD-PRS and brain networks functional segregation was not found at follow-up. Our results provide evidence for specific influences of genetic factors on development of attentional networks and DMN. We found significant correlations between polygenic risk score for ADHD (ADHD-PRS) and segregation of cingulo-opercular networks and default-mode network (DMN) at baseline. ADHD-PRS was negatively correlated with the segregation level of cingulo-opercular networks but positively correlated with the DMN segregation.

Keywords: ADHD; DMN; GWAS; network segregation; networks; polygenic risk score; rs-fMRI.

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Conflict of interest statement

Pedro Mario Pan received payment or honaria for lectures and presentations in educational eventos for Sandoz, Daiichi Sankyo, Eurofama, Abbot, Libbs, Instituto Israelita de Pesquisa e Ensino Albert Einstein, Instituto de D'Or de Pesquisa e Ensino. Luis Augusto Rohde has received grant or research support from, served as a consultant to, and served on the speakers' bureau of Abbott, Aché, Bial, Medice, Novartis/Sandoz, Pfizer/Upjohn, and Shire/Takeda in the last 3 years. The ADHD and Juvenile Bipolar Disorder Outpatient Programs chaired by Dr Rohde have received unrestricted educational and research support from the following pharmaceutical companies in the last 3 years: Novartis/Sandoz and Shire/Takeda. Dr Rohde has received authorship royalties from Oxford Press and ArtMed. Dr. Rodrigo Affonseca Bressan has been on the speakers' bureau/advisory board of AstraZeneca, Bristol, Janssen, and Lundbeck. Dr. Bressan has also received research grants from Janssen, Eli‐Lilly, Lundbeck, Novartis, Roche, FAPESP, CNPq, CAPES, Fundação E.J. Safra, and Fundação ABAHDS. He is also a shareholder in Biomolecular Technology Ltd. Dr. Edson Amaro Jr. has received research grants from FAPESP, CNPq, CAPES, Fundação E.J. Safra, and Fundação ABAHDS. All other authors reported no biomedical financial interests or potential conflicts of interest.

Figures

FIGURE 1
FIGURE 1
Panels A and B: Histogram for participant age (in years) at baseline and follow‐up assessment. Panel C: Histogram for the time interval (in months) between the MRI scanning. Panel D: Histogram for estimated IQ (standard scale) at baseline. Panels E and F: Histogram for the ADHD scores (DAWBA) at baseline and follow‐up assessments.

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