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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.
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.
Afiliação
  • Xu Y; Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA.
  • Vasiljevic E; Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA.
  • Deming YK; Center for Demography of Health and Aging, University of Wisconsin-Madison, WI, USA.
  • Jonaitis EM; Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA.
  • Koscik RL; Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA.
  • Van Hulle CA; Wisconsin Alzheimer's Institute, University of Wisconsin-Madison, WI, USA.
  • Lu Q; Wisconsin Alzheimer's Institute, University of Wisconsin-Madison, WI, USA.
  • Carboni M; Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA.
  • Kollmorgen G; Wisconsin Alzheimer's Institute, University of Wisconsin-Madison, WI, USA.
  • Wild N; Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, WI, USA.
  • Carlsson CM; Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA.
  • Johnson SC; Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, WI, USA.
  • Zetterberg H; Department of Biostatistics and Medical Informatics, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA.
  • Blennow K; Roche Diagnostics International Ltd, Rotkreuz, Switzerland.
  • Engelman CD; Roche Diagnostics GmbH, Penzberg, Germany.
medRxiv ; 2023 Feb 01.
Article em En | MEDLINE | ID: mdl-36778431
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 (Aß42), Aß42/40 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.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article