• NeuroImage. Clinical · Jan 2013

    Multilocus genetic profiling to empower drug trials and predict brain atrophy.

    • Omid Kohannim, Xue Hua, Priya Rajagopalan, Derrek P Hibar, Neda Jahanshad, Joshua D Grill, Liana G Apostolova, Arthur W Toga, Clifford R Jack, Michael W Weiner, Paul M Thompson, and Alzheimer's Disease Neuroimaging Initiative.
    • Imaging Genetics Center, Laboratory of Neuro Imaging, Dept. of Neurology, UCLA School of Medicine, Los Angeles, CA, USA.
    • Neuroimage Clin. 2013 Jan 1;2:827-35.

    AbstractDesigners of clinical trials for Alzheimer's disease (AD) and mild cognitive impairment (MCI) are actively considering structural and functional neuroimaging, cerebrospinal fluid and genetic biomarkers to reduce the sample sizes needed to detect therapeutic effects. Genetic pre-selection, however, has been limited to Apolipoprotein E (ApoE). Recently discovered polymorphisms in the CLU, CR1 and PICALM genes are also moderate risk factors for AD; each affects lifetime AD risk by ~ 10-20%. Here, we tested the hypothesis that pre-selecting subjects based on these variants along with ApoE genotype would further boost clinical trial power, relative to considering ApoE alone, using an MRI-derived 2-year atrophy rate as our outcome measure. We ranked subjects from the Alzheimer's Disease Neuroimaging Initiative (ADNI) based on their cumulative risk from these four genes. We obtained sample size estimates in cohorts enriched in subjects with greater aggregate genetic risk. Enriching for additional genetic biomarkers reduced the required sample sizes by up to 50%, for MCI trials. Thus, AD drug trial enrichment with multiple genotypes may have potential implications for the timeliness, cost, and power of trials.

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