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Polygenic risk score for Alzheimer’s disease and trajectories of cardiometabolic risk factors in children
Introduction: Cardiometabolic factors are implicated in the aetiology of Alzheimer’s disease and may lie on the pathways linking genetic variants to Alzheimer’s disease across the life course. We examined whether polygenic risk scores (PRS) were associated with cardiometabolic health indicators thro...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6971849/ https://www.ncbi.nlm.nih.gov/pubmed/31984241 http://dx.doi.org/10.12688/wellcomeopenres.15359.1 |
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author | Korologou-Linden, Roxanna O'Keeffe, Linda Howe, Laura D. Davey-Smith, George Jones, Hannah J. Anderson, Emma L. Stergiakouli, Evie |
author_facet | Korologou-Linden, Roxanna O'Keeffe, Linda Howe, Laura D. Davey-Smith, George Jones, Hannah J. Anderson, Emma L. Stergiakouli, Evie |
author_sort | Korologou-Linden, Roxanna |
collection | PubMed |
description | Introduction: Cardiometabolic factors are implicated in the aetiology of Alzheimer’s disease and may lie on the pathways linking genetic variants to Alzheimer’s disease across the life course. We examined whether polygenic risk scores (PRS) were associated with cardiometabolic health indicators through childhood and adolescence. Methods: In 7,977 participants from the Avon Longitudinal Study of Parents and Children, we tested whether a PRS for Alzheimer’s disease was associated with trajectories of cardiometabolic risk factors. We examined trajectories for height at 1-18 years; lean and fat mass at 9-18 years; systolic and diastolic blood pressure at 7-18 years; glucose and C-reactive protein at 9-18 years; insulin at 10-18 years; and high and low-density lipoproteins and triglycerides birth at 18 years. We also examined birthweight and interleukin-6 (IL-6) at age 9 years and physical activity at ages 11, 12, and 15 years. Results: No consistent associations were observed between the PRS excluding genetic variants in the apolipoprotein E gene region and cardiometabolic factors trajectories across childhood and adolescence. Conclusions: We did not detect evidence to suggest that the PRS for Alzheimer’s disease acts through childhood and adolescent cardiometabolic risk factors. Further studies should examine whether these associations emerge later in adulthood when variation in cardiometabolic risk factors is likely to be greater. |
format | Online Article Text |
id | pubmed-6971849 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
spelling | pubmed-69718492020-01-24 Polygenic risk score for Alzheimer’s disease and trajectories of cardiometabolic risk factors in children Korologou-Linden, Roxanna O'Keeffe, Linda Howe, Laura D. Davey-Smith, George Jones, Hannah J. Anderson, Emma L. Stergiakouli, Evie Wellcome Open Res Research Article Introduction: Cardiometabolic factors are implicated in the aetiology of Alzheimer’s disease and may lie on the pathways linking genetic variants to Alzheimer’s disease across the life course. We examined whether polygenic risk scores (PRS) were associated with cardiometabolic health indicators through childhood and adolescence. Methods: In 7,977 participants from the Avon Longitudinal Study of Parents and Children, we tested whether a PRS for Alzheimer’s disease was associated with trajectories of cardiometabolic risk factors. We examined trajectories for height at 1-18 years; lean and fat mass at 9-18 years; systolic and diastolic blood pressure at 7-18 years; glucose and C-reactive protein at 9-18 years; insulin at 10-18 years; and high and low-density lipoproteins and triglycerides birth at 18 years. We also examined birthweight and interleukin-6 (IL-6) at age 9 years and physical activity at ages 11, 12, and 15 years. Results: No consistent associations were observed between the PRS excluding genetic variants in the apolipoprotein E gene region and cardiometabolic factors trajectories across childhood and adolescence. Conclusions: We did not detect evidence to suggest that the PRS for Alzheimer’s disease acts through childhood and adolescent cardiometabolic risk factors. Further studies should examine whether these associations emerge later in adulthood when variation in cardiometabolic risk factors is likely to be greater. F1000 Research Limited 2019-08-20 /pmc/articles/PMC6971849/ /pubmed/31984241 http://dx.doi.org/10.12688/wellcomeopenres.15359.1 Text en Copyright: © 2019 Korologou-Linden R et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Korologou-Linden, Roxanna O'Keeffe, Linda Howe, Laura D. Davey-Smith, George Jones, Hannah J. Anderson, Emma L. Stergiakouli, Evie Polygenic risk score for Alzheimer’s disease and trajectories of cardiometabolic risk factors in children |
title | Polygenic risk score for Alzheimer’s disease and trajectories of cardiometabolic risk factors in children |
title_full | Polygenic risk score for Alzheimer’s disease and trajectories of cardiometabolic risk factors in children |
title_fullStr | Polygenic risk score for Alzheimer’s disease and trajectories of cardiometabolic risk factors in children |
title_full_unstemmed | Polygenic risk score for Alzheimer’s disease and trajectories of cardiometabolic risk factors in children |
title_short | Polygenic risk score for Alzheimer’s disease and trajectories of cardiometabolic risk factors in children |
title_sort | polygenic risk score for alzheimer’s disease and trajectories of cardiometabolic risk factors in children |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6971849/ https://www.ncbi.nlm.nih.gov/pubmed/31984241 http://dx.doi.org/10.12688/wellcomeopenres.15359.1 |
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