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Tuesday, January 24 • 4:30pm - 6:00pm
Poster: Predicting Resilience to Alzheimer’s Disease

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Alzheimer’s disease (AD) is a debilitating neurodegenerative disease that cannot be cured. Yet, one third of the population shows no cognitive decline during lifetime despite AD-related brain pathology at autopsy. This resilience phenomenon is known as cognitive reserve (CR). While little is known about the underlying genetic cause of CR, such work could provide key insights into risk factors and potential treatments for AD. In this work, we draw on four different types of genetics data to identify which of the four types of genetics data are useful in predicting both a patient’s cognition before death and the amount of CR. We also seek to determine the amount of additional predictive power the genetics data provides over standard clinical measures. Our work consists of building a data analysis pipeline and linear and non-linear predictive algorithms to these ends. The main contribution of our work is identification of two sets of genetics data, RNAseq and MicroRNA, which show improvement in predicting global cognition before death over the clinical measures by 10% and 15.8% respectively. Additionally, we show that MicroRNA can improve prediction of CR by 3.2% over clinical predictors.

Tuesday January 24, 2017 4:30pm - 6:00pm
BioScience Research Collaborative Event Hall 6500 Main Street, Houston, TX 77030-1402

Attendees (1)