Overview
Genome-wide association studies (GWAS) have associated over 40 loci with Alzheimer’s disease and recently, epigenome-wide association studies (EWAS) have highlighted neuropathology-associated DNA methylation differences for this disease. However, molecular mechanisms of gene regulations are complex and still not fully understood and integrating genomic, epigenomic and proteomic data can shed light on the biological mechanisms and improve disease risk prediction.
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Dr. Riccardo Marioni |
Dr. Riccardo Marioni is the leader of the Genetics and epigenetics of cognitive ageing group at the Centre for Genomic and Experimental Medicine at the University of Edinburgh. His group’s primary research goal is to use computational models to understand the molecular mechanisms that underlie Alzheimer’s disease and to enhance prediction of the disease. In this webinar, Dr. Marioni presents how his team is integrating methylation data with other omics, in particular proteomic data, to develop a prediction tool. |