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The contribution of attention-deficit/hyperactivity disorder polygenic load to metabolic and cardiovascular health outcomes: a large-scale population and sibling study

The contribution of attention-deficit/hyperactivity disorder polygenic load to metabolic and cardiovascular health outcomes: a large-scale population and sibling study
The contribution of attention-deficit/hyperactivity disorder polygenic load to metabolic and cardiovascular health outcomes: a large-scale population and sibling study

Emerging evidence suggests that ADHD is associated with increased risk for metabolic and cardiovascular (cardiometabolic) diseases. However, an understanding of the mechanisms underlying these associations is still limited. In this study we estimated the associations of polygenic scores (PGS) for ADHD with several cardiometabolic diseases and biomarkers. Furthermore, we investigated to what extent the PGS effect was influenced by direct and indirect genetic effects (i.e., shared familial effects). We derived ADHD-PGS in 50,768 individuals aged 18-90 years from the Dutch Lifelines Cohort study. Using generalised estimating equations, we estimated the association of PGS with cardiometabolic diseases, derived from self-report and several biomarkers measured during a physical examination. We additionally ran within-sibling PGS analyses, using fixed effects models, to disentangle direct effects of individuals' own ADHD genetic risk from confounding due to indirect genetic effects of relatives, as well as population stratification. We found that higher ADHD-PGS were statistically significantly associated with several cardiometabolic diseases (R-squared [R2] range = 0.03-0.50%) and biomarkers (related to inflammation, blood pressure, lipid metabolism, amongst others) (R2 range = 0.01-0.16%) (P < 0.05). Adjustment for shared familial factors attenuated the associations between ADHD-PGS and cardiometabolic outcomes (on average 56% effect size reduction), and significant associations only remained for metabolic disease. Overall our findings suggest that increased genetic liability for ADHD confers a small but significant risk increase for cardiometabolic health outcomes in adulthood. These associations were observable in the general population, even in individuals without ADHD diagnosis, and were partly explained by familial factors shared among siblings.

Humans, Attention Deficit Disorder with Hyperactivity/genetics, Adult, Male, Female, Middle Aged, Cardiovascular Diseases/genetics, Multifactorial Inheritance, Adolescent, Siblings, Aged, Young Adult, Netherlands/epidemiology, Aged, 80 and over, Cohort Studies, Biomarkers, Genetic Predisposition to Disease
470
Du Rietz, Ebba
34c90185-a596-42c2-8e67-f9c6a4669847
Xie, Tian
e1c696c9-dc71-4afc-a517-88c625f620a5
Wang, Rujia
1e768549-ef46-4324-bf19-1e6312c75451
Cheesman, Rosa
15cc6932-50e0-47ad-8a41-21650579d75b
Garcia-Argibay, Miguel
e5a6941e-4dcc-401a-9de4-09557c8856ef
Dong, Zihan
efc283be-b35a-4ca8-b700-b275434d04df
Zhang, Jia
1a1b0af9-6b39-45df-bf70-061e06eecdce
Niebuur, Jacobien
6fbf16ea-c687-4e0a-83b8-90d305eb7394
Vos, Melissa
a09f3089-d0bb-4e01-b263-3f2908ed4d30
Snieder, Harold
3ffb9ec7-cf11-4fff-8b45-02ba4d83a32e
Larsson, Henrik
4132f7c6-5d52-43a1-be38-d343e67107cf
Hartman, Catharina A
2a0e21ca-3f73-4558-9755-e456aba83e70
Du Rietz, Ebba
34c90185-a596-42c2-8e67-f9c6a4669847
Xie, Tian
e1c696c9-dc71-4afc-a517-88c625f620a5
Wang, Rujia
1e768549-ef46-4324-bf19-1e6312c75451
Cheesman, Rosa
15cc6932-50e0-47ad-8a41-21650579d75b
Garcia-Argibay, Miguel
e5a6941e-4dcc-401a-9de4-09557c8856ef
Dong, Zihan
efc283be-b35a-4ca8-b700-b275434d04df
Zhang, Jia
1a1b0af9-6b39-45df-bf70-061e06eecdce
Niebuur, Jacobien
6fbf16ea-c687-4e0a-83b8-90d305eb7394
Vos, Melissa
a09f3089-d0bb-4e01-b263-3f2908ed4d30
Snieder, Harold
3ffb9ec7-cf11-4fff-8b45-02ba4d83a32e
Larsson, Henrik
4132f7c6-5d52-43a1-be38-d343e67107cf
Hartman, Catharina A
2a0e21ca-3f73-4558-9755-e456aba83e70

Du Rietz, Ebba, Xie, Tian, Wang, Rujia, Cheesman, Rosa, Garcia-Argibay, Miguel, Dong, Zihan, Zhang, Jia, Niebuur, Jacobien, Vos, Melissa, Snieder, Harold, Larsson, Henrik and Hartman, Catharina A (2024) The contribution of attention-deficit/hyperactivity disorder polygenic load to metabolic and cardiovascular health outcomes: a large-scale population and sibling study. Translational Psychiatry, 14 (1), 470. (doi:10.1038/s41398-024-03178-2).

Record type: Article

Abstract

Emerging evidence suggests that ADHD is associated with increased risk for metabolic and cardiovascular (cardiometabolic) diseases. However, an understanding of the mechanisms underlying these associations is still limited. In this study we estimated the associations of polygenic scores (PGS) for ADHD with several cardiometabolic diseases and biomarkers. Furthermore, we investigated to what extent the PGS effect was influenced by direct and indirect genetic effects (i.e., shared familial effects). We derived ADHD-PGS in 50,768 individuals aged 18-90 years from the Dutch Lifelines Cohort study. Using generalised estimating equations, we estimated the association of PGS with cardiometabolic diseases, derived from self-report and several biomarkers measured during a physical examination. We additionally ran within-sibling PGS analyses, using fixed effects models, to disentangle direct effects of individuals' own ADHD genetic risk from confounding due to indirect genetic effects of relatives, as well as population stratification. We found that higher ADHD-PGS were statistically significantly associated with several cardiometabolic diseases (R-squared [R2] range = 0.03-0.50%) and biomarkers (related to inflammation, blood pressure, lipid metabolism, amongst others) (R2 range = 0.01-0.16%) (P < 0.05). Adjustment for shared familial factors attenuated the associations between ADHD-PGS and cardiometabolic outcomes (on average 56% effect size reduction), and significant associations only remained for metabolic disease. Overall our findings suggest that increased genetic liability for ADHD confers a small but significant risk increase for cardiometabolic health outcomes in adulthood. These associations were observable in the general population, even in individuals without ADHD diagnosis, and were partly explained by familial factors shared among siblings.

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Accepted/In Press date: 5 November 2024
Published date: 13 November 2024
Additional Information: © 2024. The Author(s).
Keywords: Humans, Attention Deficit Disorder with Hyperactivity/genetics, Adult, Male, Female, Middle Aged, Cardiovascular Diseases/genetics, Multifactorial Inheritance, Adolescent, Siblings, Aged, Young Adult, Netherlands/epidemiology, Aged, 80 and over, Cohort Studies, Biomarkers, Genetic Predisposition to Disease

Identifiers

Local EPrints ID: 495660
URI: http://eprints.soton.ac.uk/id/eprint/495660
PURE UUID: 5a1cf436-70f4-40f4-a2d1-0ffc01838b28
ORCID for Miguel Garcia-Argibay: ORCID iD orcid.org/0000-0002-4811-2330

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Date deposited: 20 Nov 2024 17:40
Last modified: 21 Nov 2024 03:09

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Contributors

Author: Ebba Du Rietz
Author: Tian Xie
Author: Rujia Wang
Author: Rosa Cheesman
Author: Miguel Garcia-Argibay ORCID iD
Author: Zihan Dong
Author: Jia Zhang
Author: Jacobien Niebuur
Author: Melissa Vos
Author: Harold Snieder
Author: Henrik Larsson
Author: Catharina A Hartman

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