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Association between polygenic risk for Alzheimer’s disease, brain structure and cognitive abilities in UK Biobank
Previous studies testing associations between polygenic risk for late-onset Alzheimer’s disease (LOAD-PGR) and brain magnetic resonance imaging (MRI) measures have been limited by small samples and inconsistent consideration of potential confounders. This study investigates whether higher LOAD-PGR i...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8674313/ https://www.ncbi.nlm.nih.gov/pubmed/34621014 http://dx.doi.org/10.1038/s41386-021-01190-4 |
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author | Tank, Rachana Ward, Joey Flegal, Kristin E. Smith, Daniel J. Bailey, Mark E. S. Cavanagh, Jonathan Lyall, Donald M. |
author_facet | Tank, Rachana Ward, Joey Flegal, Kristin E. Smith, Daniel J. Bailey, Mark E. S. Cavanagh, Jonathan Lyall, Donald M. |
author_sort | Tank, Rachana |
collection | PubMed |
description | Previous studies testing associations between polygenic risk for late-onset Alzheimer’s disease (LOAD-PGR) and brain magnetic resonance imaging (MRI) measures have been limited by small samples and inconsistent consideration of potential confounders. This study investigates whether higher LOAD-PGR is associated with differences in structural brain imaging and cognitive values in a relatively large sample of non-demented, generally healthy adults (UK Biobank). Summary statistics were used to create PGR scores for n = 32,790 participants using LDpred. Outcomes included 12 structural MRI volumes and 6 concurrent cognitive measures. Models were adjusted for age, sex, body mass index, genotyping chip, 8 genetic principal components, lifetime smoking, apolipoprotein (APOE) e4 genotype and socioeconomic deprivation. We tested for statistical interactions between APOE e4 allele dose and LOAD-PGR vs. all outcomes. In fully adjusted models, LOAD-PGR was associated with worse fluid intelligence (standardised beta [β] = −0.080 per LOAD-PGR standard deviation, p = 0.002), matrix completion (β = −0.102, p = 0.003), smaller left hippocampal total (β = −0.118, p = 0.002) and body (β = −0.069, p = 0.002) volumes, but not other hippocampal subdivisions. There were no significant APOE x LOAD-PGR score interactions for any outcomes in fully adjusted models. This is the largest study to date investigating LOAD-PGR and non-demented structural brain MRI and cognition phenotypes. LOAD-PGR was associated with smaller hippocampal volumes and aspects of cognitive ability in healthy adults and could supplement APOE status in risk stratification of cognitive impairment/LOAD. |
format | Online Article Text |
id | pubmed-8674313 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-86743132022-01-04 Association between polygenic risk for Alzheimer’s disease, brain structure and cognitive abilities in UK Biobank Tank, Rachana Ward, Joey Flegal, Kristin E. Smith, Daniel J. Bailey, Mark E. S. Cavanagh, Jonathan Lyall, Donald M. Neuropsychopharmacology Article Previous studies testing associations between polygenic risk for late-onset Alzheimer’s disease (LOAD-PGR) and brain magnetic resonance imaging (MRI) measures have been limited by small samples and inconsistent consideration of potential confounders. This study investigates whether higher LOAD-PGR is associated with differences in structural brain imaging and cognitive values in a relatively large sample of non-demented, generally healthy adults (UK Biobank). Summary statistics were used to create PGR scores for n = 32,790 participants using LDpred. Outcomes included 12 structural MRI volumes and 6 concurrent cognitive measures. Models were adjusted for age, sex, body mass index, genotyping chip, 8 genetic principal components, lifetime smoking, apolipoprotein (APOE) e4 genotype and socioeconomic deprivation. We tested for statistical interactions between APOE e4 allele dose and LOAD-PGR vs. all outcomes. In fully adjusted models, LOAD-PGR was associated with worse fluid intelligence (standardised beta [β] = −0.080 per LOAD-PGR standard deviation, p = 0.002), matrix completion (β = −0.102, p = 0.003), smaller left hippocampal total (β = −0.118, p = 0.002) and body (β = −0.069, p = 0.002) volumes, but not other hippocampal subdivisions. There were no significant APOE x LOAD-PGR score interactions for any outcomes in fully adjusted models. This is the largest study to date investigating LOAD-PGR and non-demented structural brain MRI and cognition phenotypes. LOAD-PGR was associated with smaller hippocampal volumes and aspects of cognitive ability in healthy adults and could supplement APOE status in risk stratification of cognitive impairment/LOAD. Springer International Publishing 2021-10-07 2022-01 /pmc/articles/PMC8674313/ /pubmed/34621014 http://dx.doi.org/10.1038/s41386-021-01190-4 Text en © The Author(s) 2021 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Tank, Rachana Ward, Joey Flegal, Kristin E. Smith, Daniel J. Bailey, Mark E. S. Cavanagh, Jonathan Lyall, Donald M. Association between polygenic risk for Alzheimer’s disease, brain structure and cognitive abilities in UK Biobank |
title | Association between polygenic risk for Alzheimer’s disease, brain structure and cognitive abilities in UK Biobank |
title_full | Association between polygenic risk for Alzheimer’s disease, brain structure and cognitive abilities in UK Biobank |
title_fullStr | Association between polygenic risk for Alzheimer’s disease, brain structure and cognitive abilities in UK Biobank |
title_full_unstemmed | Association between polygenic risk for Alzheimer’s disease, brain structure and cognitive abilities in UK Biobank |
title_short | Association between polygenic risk for Alzheimer’s disease, brain structure and cognitive abilities in UK Biobank |
title_sort | association between polygenic risk for alzheimer’s disease, brain structure and cognitive abilities in uk biobank |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8674313/ https://www.ncbi.nlm.nih.gov/pubmed/34621014 http://dx.doi.org/10.1038/s41386-021-01190-4 |
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