Polygenic influences associated with adolescent cognitive skills
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122623608. Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0. |
Description
Genes play an important role in children's cognitive ability through adolescence and into adulthood. Recent advances in genomics have enabled us to test the effect of various genetic predispositions on measured cognitive outcomes. Here, we leveraged summary statistics from the most recent genome-wide association studies of eleven cognitive and mental health traits to build polygenic prediction models of measured intelligence and academic skills in a cohort of Australian adolescent twins (N = 2335, 57% female). We show that polygenic risk scores for educational attainment, intelligence, and cognitive performance explained up to 10% of the variance in academic skills and 7% in intelligence test scores in our cohort. Additionally, we found that a genetic predisposition for ADHD was negatively associated with all cognitive measures and a genetic predisposition for schizophrenia was negatively associated with performance IQ but no other cognitive measure. In this study, we provide evidence that a genetic vulnerability to some mental health disorders is associated with poorer performance on a variety of cognitive and academic tests, regardless of whether the individual has developed the disorder.
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| ID Code: | 237394 |
|---|---|
| Item Type: | Contribution to Journal (Journal Article) |
| Refereed: | Yes |
| Additional Information: | Funding Information: This project was supported by grants from the Australian Research Council (Grant Numbers. A 79600334 , A 79906588 , A 79801419 ), and the Human Frontier Science Program (Grant Number RG0154/1998B ). KLG was supported by APP1173025 . BLM is grateful for support from Queensland University of Technology through a QUT Postgraduate Research Scholarship. |
| Measurements or Duration: | 9 pages |
| Keywords: | Adolescence, Cognition, Education, Genetics, Intelligence, Mental health, Polygenic risk scores |
| DOI: | 10.1016/j.intell.2022.101680 |
| ISSN: | 0160-2896 |
| Pure ID: | 122623608 |
| Divisions: | Current > QUT Faculties and Divisions > Faculty of Health Current > Schools > School of Biomedical Sciences |
| Funding Information: | This project was supported by grants from the Australian Research Council (Grant Numbers. A 79600334 , A 79906588 , A 79801419 ), and the Human Frontier Science Program (Grant Number RG0154/1998B ). KLG was supported by APP1173025 . BLM is grateful for support from Queensland University of Technology through a QUT Postgraduate Research Scholarship. |
| Copyright Owner: | 2022 Elsevier Inc. |
| Copyright Statement: | This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au |
| Deposited On: | 23 Jan 2023 07:08 |
| Last Modified: | 03 Mar 2024 06:46 |
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