A Genetics-based Biomarker Risk Algorithm for Predicting Risk of Alzheimer's Disease.

ABSTRACT:

Background

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.

Methods

The GBRA was developed using data from the prospective Bryan-ADRC study (n=407; 86 conversion events (mild cognitive impairment (MCI) or late onset Alzheimer's disease (LOAD)). The performance of the alg

SUBMITTER: Lutz MW 

PROVIDER: S-EPMC4817110 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature