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Effect of Pathway-specific Polygenic Risk Scores for Alzheimer’s Disease (AD) on Rate of Change in Cognitive Function and AD-related Biomarkers among Asymptomatic Individuals

BACKGROUND: Genetic scores for late-onset Alzheimer’s disease (LOAD) have been associated with preclinical cognitive decline and biomarker variations. Compared with an overall polygenic risk score (PRS), a pathway-specific PRS (p-PRS) may be more appropriate in predicting a specific biomarker or cog...

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Autores principales: Xu, Yuexuan, Vasiljevic, Eva, Deming, Yuetiva K., Jonaitis, Erin M., Koscik, Rebecca L., Van Hulle, Carol A., Lu, Qiongshi, Carboni, Margherita, Kollmorgen, Gwendlyn, Wild, Norbert, Carlsson, Cynthia M., Johnson, Sterling C., Zetterberg, Henrik, Blennow, Kaj, Engelman, Corinne D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9915839/
https://www.ncbi.nlm.nih.gov/pubmed/36778431
http://dx.doi.org/10.1101/2023.01.30.23285142
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author Xu, Yuexuan
Vasiljevic, Eva
Deming, Yuetiva K.
Jonaitis, Erin M.
Koscik, Rebecca L.
Van Hulle, Carol A.
Lu, Qiongshi
Carboni, Margherita
Kollmorgen, Gwendlyn
Wild, Norbert
Carlsson, Cynthia M.
Johnson, Sterling C.
Zetterberg, Henrik
Blennow, Kaj
Engelman, Corinne D.
author_facet Xu, Yuexuan
Vasiljevic, Eva
Deming, Yuetiva K.
Jonaitis, Erin M.
Koscik, Rebecca L.
Van Hulle, Carol A.
Lu, Qiongshi
Carboni, Margherita
Kollmorgen, Gwendlyn
Wild, Norbert
Carlsson, Cynthia M.
Johnson, Sterling C.
Zetterberg, Henrik
Blennow, Kaj
Engelman, Corinne D.
author_sort Xu, Yuexuan
collection PubMed
description BACKGROUND: Genetic scores for late-onset Alzheimer’s disease (LOAD) have been associated with preclinical cognitive decline and biomarker variations. Compared with an overall polygenic risk score (PRS), a pathway-specific PRS (p-PRS) may be more appropriate in predicting a specific biomarker or cognitive component underlying LOAD pathology earlier in the lifespan. OBJECTIVE: In this study, we leveraged 10 years of longitudinal data from initially cognitively unimpaired individuals in the Wisconsin Registry for Alzheimer’s Prevention and explored changing patterns in cognition and biomarkers at various age points along six biological pathways. METHODS: PRS and p-PRSs with and without apolipoprotein E (APOE) were constructed separately based on the significant SNPs associated with LOAD in a recent genome-wide association study meta-analysis and compared to APOE alone. We used a linear mixed-effects model to assess the association between PRS/p-PRSs and global/domain-specific cognitive trajectories among 1,175 individuals. We also applied the model to the outcomes of cerebrospinal fluid biomarkers for beta-amyloid 42 (Aβ42), Aβ42/40 ratio, total tau, and phosphorylated tau in a subset. Replication analyses were performed in an independent sample. RESULTS: We found p-PRSs and the overall PRS can predict preclinical changes in cognition and biomarkers. The effects of p-PRSs/PRS on rate of change in cognition, beta-amyloid, and tau outcomes are dependent on age and appear earlier in the lifespan when APOE is included in these risk scores compared to when APOE is excluded. CONCLUSION: In addition to APOE, the p-PRSs can predict age-dependent changes in beta-amyloid, tau, and cognition. Once validated, they could be used to identify individuals with an elevated genetic risk of accumulating beta-amyloid and tau, long before the onset of clinical symptoms.
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spelling pubmed-99158392023-02-11 Effect of Pathway-specific Polygenic Risk Scores for Alzheimer’s Disease (AD) on Rate of Change in Cognitive Function and AD-related Biomarkers among Asymptomatic Individuals Xu, Yuexuan Vasiljevic, Eva Deming, Yuetiva K. Jonaitis, Erin M. Koscik, Rebecca L. Van Hulle, Carol A. Lu, Qiongshi Carboni, Margherita Kollmorgen, Gwendlyn Wild, Norbert Carlsson, Cynthia M. Johnson, Sterling C. Zetterberg, Henrik Blennow, Kaj Engelman, Corinne D. medRxiv Article BACKGROUND: Genetic scores for late-onset Alzheimer’s disease (LOAD) have been associated with preclinical cognitive decline and biomarker variations. Compared with an overall polygenic risk score (PRS), a pathway-specific PRS (p-PRS) may be more appropriate in predicting a specific biomarker or cognitive component underlying LOAD pathology earlier in the lifespan. OBJECTIVE: In this study, we leveraged 10 years of longitudinal data from initially cognitively unimpaired individuals in the Wisconsin Registry for Alzheimer’s Prevention and explored changing patterns in cognition and biomarkers at various age points along six biological pathways. METHODS: PRS and p-PRSs with and without apolipoprotein E (APOE) were constructed separately based on the significant SNPs associated with LOAD in a recent genome-wide association study meta-analysis and compared to APOE alone. We used a linear mixed-effects model to assess the association between PRS/p-PRSs and global/domain-specific cognitive trajectories among 1,175 individuals. We also applied the model to the outcomes of cerebrospinal fluid biomarkers for beta-amyloid 42 (Aβ42), Aβ42/40 ratio, total tau, and phosphorylated tau in a subset. Replication analyses were performed in an independent sample. RESULTS: We found p-PRSs and the overall PRS can predict preclinical changes in cognition and biomarkers. The effects of p-PRSs/PRS on rate of change in cognition, beta-amyloid, and tau outcomes are dependent on age and appear earlier in the lifespan when APOE is included in these risk scores compared to when APOE is excluded. CONCLUSION: In addition to APOE, the p-PRSs can predict age-dependent changes in beta-amyloid, tau, and cognition. Once validated, they could be used to identify individuals with an elevated genetic risk of accumulating beta-amyloid and tau, long before the onset of clinical symptoms. Cold Spring Harbor Laboratory 2023-02-01 /pmc/articles/PMC9915839/ /pubmed/36778431 http://dx.doi.org/10.1101/2023.01.30.23285142 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
Xu, Yuexuan
Vasiljevic, Eva
Deming, Yuetiva K.
Jonaitis, Erin M.
Koscik, Rebecca L.
Van Hulle, Carol A.
Lu, Qiongshi
Carboni, Margherita
Kollmorgen, Gwendlyn
Wild, Norbert
Carlsson, Cynthia M.
Johnson, Sterling C.
Zetterberg, Henrik
Blennow, Kaj
Engelman, Corinne D.
Effect of Pathway-specific Polygenic Risk Scores for Alzheimer’s Disease (AD) on Rate of Change in Cognitive Function and AD-related Biomarkers among Asymptomatic Individuals
title Effect of Pathway-specific Polygenic Risk Scores for Alzheimer’s Disease (AD) on Rate of Change in Cognitive Function and AD-related Biomarkers among Asymptomatic Individuals
title_full Effect of Pathway-specific Polygenic Risk Scores for Alzheimer’s Disease (AD) on Rate of Change in Cognitive Function and AD-related Biomarkers among Asymptomatic Individuals
title_fullStr Effect of Pathway-specific Polygenic Risk Scores for Alzheimer’s Disease (AD) on Rate of Change in Cognitive Function and AD-related Biomarkers among Asymptomatic Individuals
title_full_unstemmed Effect of Pathway-specific Polygenic Risk Scores for Alzheimer’s Disease (AD) on Rate of Change in Cognitive Function and AD-related Biomarkers among Asymptomatic Individuals
title_short Effect of Pathway-specific Polygenic Risk Scores for Alzheimer’s Disease (AD) on Rate of Change in Cognitive Function and AD-related Biomarkers among Asymptomatic Individuals
title_sort effect of pathway-specific polygenic risk scores for alzheimer’s disease (ad) on rate of change in cognitive function and ad-related biomarkers among asymptomatic individuals
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9915839/
https://www.ncbi.nlm.nih.gov/pubmed/36778431
http://dx.doi.org/10.1101/2023.01.30.23285142
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