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Assessment of a polygenic hazard score for the onset of pre-clinical Alzheimer’s disease
ABSTRACT: BACKGROUND: With a growing number of loci associated with late-onset (sporadic) Alzheimer’s disease (AD), the polygenic contribution to AD is now well established. The development of polygenic risk score approaches have shown promising results for identifying individuals at higher risk of...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9134703/ https://www.ncbi.nlm.nih.gov/pubmed/35619096 http://dx.doi.org/10.1186/s12864-022-08617-2 |
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author | Vacher, Michael Doré, Vincent Porter, Tenielle Milicic, Lidija Villemagne, Victor L. Bourgeat, Pierrick Burnham, Sam C. Cox, Timothy Masters, Colin L. Rowe, Christopher C. Fripp, Jurgen Doecke, James D. Laws, Simon M. |
author_facet | Vacher, Michael Doré, Vincent Porter, Tenielle Milicic, Lidija Villemagne, Victor L. Bourgeat, Pierrick Burnham, Sam C. Cox, Timothy Masters, Colin L. Rowe, Christopher C. Fripp, Jurgen Doecke, James D. Laws, Simon M. |
author_sort | Vacher, Michael |
collection | PubMed |
description | ABSTRACT: BACKGROUND: With a growing number of loci associated with late-onset (sporadic) Alzheimer’s disease (AD), the polygenic contribution to AD is now well established. The development of polygenic risk score approaches have shown promising results for identifying individuals at higher risk of developing AD, thereby facilitating the development of preventative and therapeutic strategies. A polygenic hazard score (PHS) has been proposed to quantify age-specific genetic risk for AD. In this study, we assessed the predictive power and transferability of this PHS in an independent cohort, to support its clinical utility. RESULTS: Using genotype and imaging data from 780 individuals enrolled in the Australian Imaging, Biomarkers and Lifestyle (AIBL) study, we investigated associations between the PHS and several AD-related traits, including 1) cross-sectional Aβ-amyloid (Aβ) deposition, 2) longitudinal brain atrophy, 3) longitudinal cognitive decline, 4) age of onset. Except in the cognitive domain, we obtained results that were consistent with previously published findings. The PHS was associated with increased Aβ burden, faster regional brain atrophy and an earlier age of onset. CONCLUSION: Overall, the results support the predictive power of a PHS, however, with only marginal improvement compared to apolipoprotein E alone. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-022-08617-2. |
format | Online Article Text |
id | pubmed-9134703 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-91347032022-05-27 Assessment of a polygenic hazard score for the onset of pre-clinical Alzheimer’s disease Vacher, Michael Doré, Vincent Porter, Tenielle Milicic, Lidija Villemagne, Victor L. Bourgeat, Pierrick Burnham, Sam C. Cox, Timothy Masters, Colin L. Rowe, Christopher C. Fripp, Jurgen Doecke, James D. Laws, Simon M. BMC Genomics Research ABSTRACT: BACKGROUND: With a growing number of loci associated with late-onset (sporadic) Alzheimer’s disease (AD), the polygenic contribution to AD is now well established. The development of polygenic risk score approaches have shown promising results for identifying individuals at higher risk of developing AD, thereby facilitating the development of preventative and therapeutic strategies. A polygenic hazard score (PHS) has been proposed to quantify age-specific genetic risk for AD. In this study, we assessed the predictive power and transferability of this PHS in an independent cohort, to support its clinical utility. RESULTS: Using genotype and imaging data from 780 individuals enrolled in the Australian Imaging, Biomarkers and Lifestyle (AIBL) study, we investigated associations between the PHS and several AD-related traits, including 1) cross-sectional Aβ-amyloid (Aβ) deposition, 2) longitudinal brain atrophy, 3) longitudinal cognitive decline, 4) age of onset. Except in the cognitive domain, we obtained results that were consistent with previously published findings. The PHS was associated with increased Aβ burden, faster regional brain atrophy and an earlier age of onset. CONCLUSION: Overall, the results support the predictive power of a PHS, however, with only marginal improvement compared to apolipoprotein E alone. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-022-08617-2. BioMed Central 2022-05-26 /pmc/articles/PMC9134703/ /pubmed/35619096 http://dx.doi.org/10.1186/s12864-022-08617-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Vacher, Michael Doré, Vincent Porter, Tenielle Milicic, Lidija Villemagne, Victor L. Bourgeat, Pierrick Burnham, Sam C. Cox, Timothy Masters, Colin L. Rowe, Christopher C. Fripp, Jurgen Doecke, James D. Laws, Simon M. Assessment of a polygenic hazard score for the onset of pre-clinical Alzheimer’s disease |
title | Assessment of a polygenic hazard score for the onset of pre-clinical Alzheimer’s disease |
title_full | Assessment of a polygenic hazard score for the onset of pre-clinical Alzheimer’s disease |
title_fullStr | Assessment of a polygenic hazard score for the onset of pre-clinical Alzheimer’s disease |
title_full_unstemmed | Assessment of a polygenic hazard score for the onset of pre-clinical Alzheimer’s disease |
title_short | Assessment of a polygenic hazard score for the onset of pre-clinical Alzheimer’s disease |
title_sort | assessment of a polygenic hazard score for the onset of pre-clinical alzheimer’s disease |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9134703/ https://www.ncbi.nlm.nih.gov/pubmed/35619096 http://dx.doi.org/10.1186/s12864-022-08617-2 |
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