Cargando…
Neurogenetic mechanisms of risk for ADHD: Examining associations of polygenic scores and brain volumes in a population cohort
BACKGROUND: ADHD polygenic scores (PGSs) have been previously shown to predict ADHD outcomes in several studies. However, ADHD PGSs are typically correlated with ADHD but not necessarily reflective of causal mechanisms. More research is needed to elucidate the neurobiological mechanisms underlying A...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10469494/ https://www.ncbi.nlm.nih.gov/pubmed/37653373 http://dx.doi.org/10.1186/s11689-023-09498-6 |
_version_ | 1785099453985718272 |
---|---|
author | He, Quanfa Keding, Taylor J. Zhang, Qi Miao, Jiacheng Russell, Justin D. Herringa, Ryan J. Lu, Qiongshi Travers, Brittany G. Li, James J. |
author_facet | He, Quanfa Keding, Taylor J. Zhang, Qi Miao, Jiacheng Russell, Justin D. Herringa, Ryan J. Lu, Qiongshi Travers, Brittany G. Li, James J. |
author_sort | He, Quanfa |
collection | PubMed |
description | BACKGROUND: ADHD polygenic scores (PGSs) have been previously shown to predict ADHD outcomes in several studies. However, ADHD PGSs are typically correlated with ADHD but not necessarily reflective of causal mechanisms. More research is needed to elucidate the neurobiological mechanisms underlying ADHD. We leveraged functional annotation information into an ADHD PGS to (1) improve the prediction performance over a non-annotated ADHD PGS and (2) test whether volumetric variation in brain regions putatively associated with ADHD mediate the association between PGSs and ADHD outcomes. METHODS: Data were from the Philadelphia Neurodevelopmental Cohort (N = 555). Multiple mediation models were tested to examine the indirect effects of two ADHD PGSs—one using a traditional computation involving clumping and thresholding and another using a functionally annotated approach (i.e., AnnoPred)—on ADHD inattention (IA) and hyperactivity-impulsivity (HI) symptoms, via gray matter volumes in the cingulate gyrus, angular gyrus, caudate, dorsolateral prefrontal cortex (DLPFC), and inferior temporal lobe. RESULTS: A direct effect was detected between the AnnoPred ADHD PGS and IA symptoms in adolescents. No indirect effects via brain volumes were detected for either IA or HI symptoms. However, both ADHD PGSs were negatively associated with the DLPFC. CONCLUSIONS: The AnnoPred ADHD PGS was a more developmentally specific predictor of adolescent IA symptoms compared to the traditional ADHD PGS. However, brain volumes did not mediate the effects of either a traditional or AnnoPred ADHD PGS on ADHD symptoms, suggesting that we may still be underpowered in clarifying brain-based biomarkers for ADHD using genetic measures. |
format | Online Article Text |
id | pubmed-10469494 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-104694942023-09-01 Neurogenetic mechanisms of risk for ADHD: Examining associations of polygenic scores and brain volumes in a population cohort He, Quanfa Keding, Taylor J. Zhang, Qi Miao, Jiacheng Russell, Justin D. Herringa, Ryan J. Lu, Qiongshi Travers, Brittany G. Li, James J. J Neurodev Disord Research BACKGROUND: ADHD polygenic scores (PGSs) have been previously shown to predict ADHD outcomes in several studies. However, ADHD PGSs are typically correlated with ADHD but not necessarily reflective of causal mechanisms. More research is needed to elucidate the neurobiological mechanisms underlying ADHD. We leveraged functional annotation information into an ADHD PGS to (1) improve the prediction performance over a non-annotated ADHD PGS and (2) test whether volumetric variation in brain regions putatively associated with ADHD mediate the association between PGSs and ADHD outcomes. METHODS: Data were from the Philadelphia Neurodevelopmental Cohort (N = 555). Multiple mediation models were tested to examine the indirect effects of two ADHD PGSs—one using a traditional computation involving clumping and thresholding and another using a functionally annotated approach (i.e., AnnoPred)—on ADHD inattention (IA) and hyperactivity-impulsivity (HI) symptoms, via gray matter volumes in the cingulate gyrus, angular gyrus, caudate, dorsolateral prefrontal cortex (DLPFC), and inferior temporal lobe. RESULTS: A direct effect was detected between the AnnoPred ADHD PGS and IA symptoms in adolescents. No indirect effects via brain volumes were detected for either IA or HI symptoms. However, both ADHD PGSs were negatively associated with the DLPFC. CONCLUSIONS: The AnnoPred ADHD PGS was a more developmentally specific predictor of adolescent IA symptoms compared to the traditional ADHD PGS. However, brain volumes did not mediate the effects of either a traditional or AnnoPred ADHD PGS on ADHD symptoms, suggesting that we may still be underpowered in clarifying brain-based biomarkers for ADHD using genetic measures. BioMed Central 2023-08-31 /pmc/articles/PMC10469494/ /pubmed/37653373 http://dx.doi.org/10.1186/s11689-023-09498-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research He, Quanfa Keding, Taylor J. Zhang, Qi Miao, Jiacheng Russell, Justin D. Herringa, Ryan J. Lu, Qiongshi Travers, Brittany G. Li, James J. Neurogenetic mechanisms of risk for ADHD: Examining associations of polygenic scores and brain volumes in a population cohort |
title | Neurogenetic mechanisms of risk for ADHD: Examining associations of polygenic scores and brain volumes in a population cohort |
title_full | Neurogenetic mechanisms of risk for ADHD: Examining associations of polygenic scores and brain volumes in a population cohort |
title_fullStr | Neurogenetic mechanisms of risk for ADHD: Examining associations of polygenic scores and brain volumes in a population cohort |
title_full_unstemmed | Neurogenetic mechanisms of risk for ADHD: Examining associations of polygenic scores and brain volumes in a population cohort |
title_short | Neurogenetic mechanisms of risk for ADHD: Examining associations of polygenic scores and brain volumes in a population cohort |
title_sort | neurogenetic mechanisms of risk for adhd: examining associations of polygenic scores and brain volumes in a population cohort |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10469494/ https://www.ncbi.nlm.nih.gov/pubmed/37653373 http://dx.doi.org/10.1186/s11689-023-09498-6 |
work_keys_str_mv | AT hequanfa neurogeneticmechanismsofriskforadhdexaminingassociationsofpolygenicscoresandbrainvolumesinapopulationcohort AT kedingtaylorj neurogeneticmechanismsofriskforadhdexaminingassociationsofpolygenicscoresandbrainvolumesinapopulationcohort AT zhangqi neurogeneticmechanismsofriskforadhdexaminingassociationsofpolygenicscoresandbrainvolumesinapopulationcohort AT miaojiacheng neurogeneticmechanismsofriskforadhdexaminingassociationsofpolygenicscoresandbrainvolumesinapopulationcohort AT russelljustind neurogeneticmechanismsofriskforadhdexaminingassociationsofpolygenicscoresandbrainvolumesinapopulationcohort AT herringaryanj neurogeneticmechanismsofriskforadhdexaminingassociationsofpolygenicscoresandbrainvolumesinapopulationcohort AT luqiongshi neurogeneticmechanismsofriskforadhdexaminingassociationsofpolygenicscoresandbrainvolumesinapopulationcohort AT traversbrittanyg neurogeneticmechanismsofriskforadhdexaminingassociationsofpolygenicscoresandbrainvolumesinapopulationcohort AT lijamesj neurogeneticmechanismsofriskforadhdexaminingassociationsofpolygenicscoresandbrainvolumesinapopulationcohort |