January 21
@
12:00 PM
–
1:00 PM
Integrative -omics for improved understanding and detection of Alzheimer’s disease
Jingwen Yan, PhD
Associate Professor and Director of Bioinformatics
Luddy School of Informatics, Computing and Engineering
Indiana University Indianapolis
Abstract:
Integrative -omics is an emerging research field that aims to extract the knowledge from the broad multi-omic data landscape. While multiple domains included, such as brain imaging, genetics, transcriptomics and proteomics, it offers great promise to illuminate the causal pathway from genotype to phenotype and to provide optimal molecular phenotypes for early therapeutic intervention. Building on the extensive mult-omics and brain imaging datasets, we focus on the development and application of AI models and bioinformatics approaches aimed at 1) exploring the functional mechanisms linked to Alzheimer risk variants (i.e., functional genomics) and 2) modeling disease progression to improve early detection and risk assessment. In this talk, I will introduce some of our recent work on exploration of AD molecular mechanisms and early detection with integrative -omics approaches.
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