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Title: | Assessment of a polygenic hazard score for the onset of pre-clinical Alzheimer's disease. | Austin Authors: | 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 | Affiliation: | Australian e-Health Research Centre, CSIRO, Floreat, Western Australia, 6014, Australia.. Centre for Precision Health, Edith Cowan University, Joondalup, Western Australia, 6027, Australia.. Collaborative Genomics and Translation Group, School of Medical and Health Sciences, Edith Cowan University, Joondalup, 6027, Western Australia.. Australian e-Health Research Centre, CSIRO, Parkville, Victoria, 3052, Australia.. Molecular Imaging and Therapy Curtin Health Innovation Research Institute, Curtin University, Bentley, 6102, Western Australia.. Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.. Australian e-Health Research Centre, CSIRO, Herston, Queensland, 4029, Australia.. The Florey Institute of Neuroscience and Mental Health |
Issue Date: | 26-May-2022 | Date: | 2022 | Publication information: | BMC genomics 2022; 23(1): 401 | Abstract: | 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. 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. Overall, the results support the predictive power of a PHS, however, with only marginal improvement compared to apolipoprotein E alone. | URI: | https://ahro.austin.org.au/austinjspui/handle/1/30292 | DOI: | 10.1186/s12864-022-08617-2 | ORCID: | 0000-0002-8051-0558 0000-0002-5832-9875 0000-0003-3072-7940 0000-0003-3910-2453 |
Journal: | BMC genomics | PubMed URL: | 35619096 | PubMed URL: | https://pubmed.ncbi.nlm.nih.gov/35619096/ | Type: | Journal Article | Subjects: | AD onset Alzheimer’s disease Brain atrophy Polygenic hazard score |
Appears in Collections: | Journal articles |
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