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Elsevier, Alzheimer's && Dementia :: Translational Research && Clinical Interventions, 1(2), p. 30-44, 2016

DOI: 10.1016/j.trci.2015.12.002

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A genetics-based biomarker risk algorithm for predicting risk of Alzheimer's disease

Journal article published in 2016 by Michael W. Lutz ORCID, Scott S. Sundseth, Daniel K. Burns, Ann M. Saunders, Kathleen M. Hayden, James R. Burke, Kathleen A. Welsh Bohmer, Allen D. Roses, For The, Alzheimer's Disease Neuroimaging Initiative
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

A straightforward, reproducible blood-based test that predicts age-dependent risk of Alzheimer's disease (AD) could be used as an enrichment tool for clinical development of therapies. This study evaluated the prognostic performance of a genetics-based biomarker risk algorithm (GBRA) established on a combination of apolipoprotein E (APOE)/translocase of outer mitochondrial membrane 40 homolog (TOMM40) genotypes and age, then compare it to cerebrospinal fluid (CSF) biomarkers, neuroimaging, and neurocognitive tests using data from two independent AD cohorts.