Our abstract “Multimodal Imaging Disease Progression Scores as Quantitative Traits in GWAS of the ADNI Cohort” was selected for an oral presentation at OHBM 2017, Vancouver, Canada!
On top of that lead author Marzia Scelsi received a Merit Abstract Award for the 2017 OHBM Annual Meeting. Congrats Marzia!
M. A. Scelsi, M. Lorenzi, J. M. Schott, S. Ourselin, A. Altmann, “Multimodal Imaging Disease Progression Scores as Quantitative Traits in GWAS of the ADNI Cohort”
Introduction
Quantitative trait genome-wide association studies (GWAS) in late-onset Alzheimer’s disease (AD) using imaging biomarkers focused either on cross-sectional or on longitudinal phenotypes derived from a single imaging modality. However, since clinical and imaging biomarkers in AD are highly interrelated, association studies based on single biomarkers may miss genetic factors influencing their joint variation. In order to account for their joint variability, in this work we propose to use two well-established AD biomarkers to define a disease progression score (DPS), and to subsequently perform a GWAS using this DPS as a novel quantitative phenotype.
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