Sierksma, A;
Escott-Price, V;
De Strooper, B;
(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.
| Type: | Article |
|---|---|
| Title: | Translating genetic risk of Alzheimer’s disease into mechanistic insight and drug targets |
| Location: | United States |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1126/science.abb8575 |
| Publisher version: | https://doi.org/10.1126/science.abb8575 |
| 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. |
| 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 Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UK Dementia Research Institute HQ |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10111584 |
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