Translating genetic risk of Alzheimer’s disease into mechanistic insight and drug targets

Sierksma, Annerieke, Escott-Price, Valentina ORCID: https://orcid.org/0000-0003-1784-5483 and De Strooper, Bart 2020. Translating genetic risk of Alzheimer’s disease into mechanistic insight and drug targets. Science 370 (6512) , pp. 61-66. 10.1126/science.abb8575

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Abstract

To provide better prevention and treatment, we need to understand the environmental and genetic risks of Alzheimer’s disease (AD). However, the definition of AD has been confounded with dementia in many studies. Thus, overinterpretation of genetic findings with regard to mechanisms and drug targets may explain, in part, controversies in the field. Here, we analyze the different forms of genetic risk of AD and how these can be used to model disease. We stress the importance of studying gene variants in the right cell types and in the right pathological context. The lack of mechanistic understanding of genetic variation has become the major bottleneck in the search for new drug targets for AD.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Advanced Research Computing @ Cardiff (ARCCA) Medicine
Publisher:	American Association for the Advancement of Science
ISSN:	0036-8075
Date of First Compliant Deposit:	4 September 2020
Date of Acceptance:	27 August 2020
Last Modified:	09 Nov 2024 05:45
URI:	https://orca.cardiff.ac.uk/id/eprint/134660

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