7
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Early‐onset Alzheimer's disease explained by polygenic risk of late‐onset disease?

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Early‐onset Alzheimer's disease (AD) is highly heritable, yet only 10% of cases are associated with known pathogenic mutations. For early‐onset AD patients without an identified autosomal dominant cause, we hypothesized that their early‐onset disease reflects further enrichment of the common risk‐conferring single nucleotide polymorphisms associated with late‐onset AD.

          We applied a previously validated polygenic hazard score for late‐onset AD to 193 consecutive patients diagnosed at our tertiary dementia referral center with symptomatic early‐onset AD. For comparison, we included 179 participants with late‐onset AD and 70 healthy controls. Polygenic hazard scores were similar in early‐ versus late‐onset AD. The polygenic hazard score was not associated with age‐of‐onset or disease biomarkers within early‐onset AD. Early‐onset AD does not represent an extreme enrichment of the common single nucleotide polymorphisms associated with late‐onset AD. Further exploration of novel genetic risk factors of this highly heritable disease is warranted.

          Highlights

          • There is a unique genetic architecture of early‐ versus late‐onset Alzheimer's disease (AD).

          • Late‐onset AD polygenic risk is not an explanation for early‐onset AD.

          • Polygenic risk of late‐onset AD does not predict early‐onset AD biology.

          • Unique genetic architecture of early‐ versus late‐onset AD parallels AD heterogeneity.

          Related collections

          Most cited references51

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          Fast and accurate short read alignment with Burrows–Wheeler transform

          Motivation: The enormous amount of short reads generated by the new DNA sequencing technologies call for the development of fast and accurate read alignment programs. A first generation of hash table-based methods has been developed, including MAQ, which is accurate, feature rich and fast enough to align short reads from a single individual. However, MAQ does not support gapped alignment for single-end reads, which makes it unsuitable for alignment of longer reads where indels may occur frequently. The speed of MAQ is also a concern when the alignment is scaled up to the resequencing of hundreds of individuals. Results: We implemented Burrows-Wheeler Alignment tool (BWA), a new read alignment package that is based on backward search with Burrows–Wheeler Transform (BWT), to efficiently align short sequencing reads against a large reference sequence such as the human genome, allowing mismatches and gaps. BWA supports both base space reads, e.g. from Illumina sequencing machines, and color space reads from AB SOLiD machines. Evaluations on both simulated and real data suggest that BWA is ∼10–20× faster than MAQ, while achieving similar accuracy. In addition, BWA outputs alignment in the new standard SAM (Sequence Alignment/Map) format. Variant calling and other downstream analyses after the alignment can be achieved with the open source SAMtools software package. Availability: http://maq.sourceforge.net Contact: rd@sanger.ac.uk
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found

            The diagnosis of dementia due to Alzheimer's disease: Recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease

            The National Institute on Aging and the Alzheimer's Association charged a workgroup with the task of revising the 1984 criteria for Alzheimer's disease (AD) dementia. The workgroup sought to ensure that the revised criteria would be flexible enough to be used by both general healthcare providers without access to neuropsychological testing, advanced imaging, and cerebrospinal fluid measures, and specialized investigators involved in research or in clinical trial studies who would have these tools available. We present criteria for all-cause dementia and for AD dementia. We retained the general framework of probable AD dementia from the 1984 criteria. On the basis of the past 27 years of experience, we made several changes in the clinical criteria for the diagnosis. We also retained the term possible AD dementia, but redefined it in a manner more focused than before. Biomarker evidence was also integrated into the diagnostic formulations for probable and possible AD dementia for use in research settings. The core clinical criteria for AD dementia will continue to be the cornerstone of the diagnosis in clinical practice, but biomarker evidence is expected to enhance the pathophysiological specificity of the diagnosis of AD dementia. Much work lies ahead for validating the biomarker diagnosis of AD dementia. Copyright © 2011. Published by Elsevier Inc.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Clinical diagnosis of Alzheimer's disease: Report of the NINCDS-ADRDA Work Group* under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease

              Neurology, 34(7), 939-939
                Bookmark

                Author and article information

                Contributors
                mant0126@umn.edu
                Journal
                Alzheimers Dement (Amst)
                Alzheimers Dement (Amst)
                10.1002/(ISSN)2352-8729
                DAD2
                Alzheimer's & Dementia : Diagnosis, Assessment & Disease Monitoring
                John Wiley and Sons Inc. (Hoboken )
                2352-8729
                28 September 2023
                Oct-Dec 2023
                : 15
                : 4 ( doiID: 10.1002/dad2.v15.4 )
                : e12482
                Affiliations
                [ 1 ] Department of Neurology University of Minnesota Minneapolis Minnesota USA
                [ 2 ] HudsonAlpha Institute for Biotechnology Huntsville Alabama USA
                [ 3 ] Memory and Aging Center Department of Neurology University of California San Francisco San Francisco California USA
                [ 4 ] Department of Radiology and Biomedical Imaging University of California San Francisco San Francisco California USA
                [ 5 ] Department of Epidemiology and Biostatistics University of California San Francisco San Francisco California USA
                [ 6 ] Life Sciences Division Lawrence Berkeley National Laboratory Berkeley California USA
                Author notes
                [*] [* ] Correspondence

                William G. Mantyh, Department of Neurology, University of Minnesota, 420 Delaware Street SE, Minneapolis, MN 55455, USA.

                Email: mant0126@ 123456umn.edu

                [†]

                Author is deceased

                Article
                DAD212482
                10.1002/dad2.12482
                10535074
                37780862
                56172ead-f0de-4f82-b9b4-5ccb3d131de6
                © 2023 The Authors. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring published by Wiley Periodicals LLC on behalf of Alzheimer's Association.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

                History
                : 28 August 2023
                : 21 April 2023
                : 01 September 2023
                Page count
                Figures: 1, Tables: 4, Pages: 13, Words: 9045
                Funding
                Funded by: NIA/NIH
                Award ID: U24 AG072122
                Award ID: R01AG080806
                Award ID: U24AG041689
                Award ID: P30AG062422
                Award ID: R00AG068271
                Award ID: R01AG062588
                Award ID: R35AG072362
                Award ID: R21NS120629
                Award ID: K99AG065501
                Award ID: K01AG070376‐03
                Award ID: R01NS050915
                Award ID: R01P0551783
                Award ID: K24DC015544
                Award ID: K23AG048291
                Funded by: National Institute on Aging , doi 10.13039/100000049;
                Funded by: Wellcome Trust, Medical Research Council
                Award ID: R01 AG007584
                Funded by: Austrian Science Fond (FWF)
                Award ID: P20545‐P05
                Award ID: P13180
                Funded by: Alzheimer's Association , doi 10.13039/100000957;
                Funded by: American Brain Foundation , doi 10.13039/100005331;
                Funded by: Rainwater Charitable Foundation , doi 10.13039/100016608;
                Funded by: Wallin Neuroscience Discovery Fund
                Funded by: American Academy of Neurology , doi 10.13039/100005339;
                Funded by: Fesler‐Lampert Chair in Aging Studies
                Funded by: Department of Defense , doi 10.13039/100000005;
                Award ID: W81XWH‐19‐1‐0709
                Funded by: Mary Oakley Foundation
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                October‐December 2023
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.3.4 mode:remove_FC converted:28.09.2023

                age of onset,biomarkers,early‐onset alzheimer's disease,late‐onset alzheimer's disease,polygenic risk

                Comments

                Comment on this article