UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

A Blood Test for Alzheimer's Disease: Progress, Challenges, and Recommendations

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. Green open access

[thumbnail of Kiddle_Blood_Test_Alzheimers_AAM.pdf]
Preview
Text
Kiddle_Blood_Test_Alzheimers_AAM.pdf - Accepted Version

Download (397kB) | Preview

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
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
Downloads since deposit
136Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item