Kiddle, SJ;
Voyle, N;
Dobson, RJB;
(2018)
A Blood Test for Alzheimer's Disease: Progress, Challenges, and Recommendations.
Journal of Alzheimer's Disease
10.3233/JAD-179904.
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Abstract
Ever since the discovery of APOEɛ4 around 25 years ago, researchers have been excited about the potential of a blood test for Alzheimer's disease (AD). Since then researchers have looked for genetic, protein, metabolite, and/or gene expression markers of AD and related phenotypes. However, no blood test for AD is yet being used in the clinical setting. We first review the trends and challenges in AD blood biomarker research, before giving our personal recommendations to help researchers overcome these challenges. While some degree of consistency and replication has been seen across independent studies, several high-profile studies have seemingly failed to replicate. Partly due to academic incentives, there is a reluctance in the field to report predictive ability, to publish negative findings, and to independently replicate the work of others. If this can be addressed, then we will know sooner whether a blood test for AD or related phenotypes with clinical utility can be developed.
Type: | Article |
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Title: | A Blood Test for Alzheimer's Disease: Progress, Challenges, and Recommendations |
Location: | Netherlands |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.3233/JAD-179904 |
Publisher version: | http://dx.doi.org/10.3233/JAD-179904 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Alzheimer’s disease, blood proteins, blood tests, cohort studies, data reporting, gene expression, genetics, metabolomics, research design |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics > Clinical Epidemiology |
URI: | https://discovery.ucl.ac.uk/id/eprint/10048817 |
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