Work

Blood plasma biomarkers improve prediction accuracy over and above genetic predictors of Alzheimer’s disease

Year: 2022

Type: article

Study design: Observational Study

Source: Alzheimer s & Dementia

DOI: 10.1002/alz.064192

Authors: Joshua O Stevenson‐Hoare, Amanda Heslegrave, Ganna Leonenko, Dina Fathalla, Eftychia Bellou, Lauren Luckcuck, Rachel Marshall, Rebecca Sims, Paul Morgan, John A. Hardy, Bart de Strooper, Julie Williams, Henrik Zetterberg, Valentina Escott‐Price

Institutions: Cardiff University, UK Dementia Research Institute, University College London, UCL Queen Square Institute of Neurology, KU Leuven, University of Gothenburg

Language: English

Topic: Dementia and Cognitive Impairment Research

Subfield: Psychiatry and Mental health

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: Medical Research Council

Awards: UK Dementias Platform, Further defining the genetic architecture of Alzheimer's disease, Capital award for UK DRI at Cardiff University, MRC Centre for Neuropsychiatric Genetics and Genomics, PERADES: Defining Genetic, Polygenic and Environmental Risk for Alzheimer's Disease using multiple powerful cohorts, focussed Epigenetics and Stem, JPND TRanslating Individual Alzheimer GEnetic risk into disease phenotypes

OpenAlex ID: W4312087843

FWCI:

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