LIVE WEBINAR
Accelerating Population Health Research with Integrative-omics: Exploring Metabolomics Data in Large Cohorts
Every large-scale population health study presents complex data challenges for researchers to overcome. From cohort management to data acquisition and interpretation, discovering actionable insights can be elusive for even the most experienced researcher.
Taking an already challenging model and introducing additional datasets does not come without risk, but with the correct preparation and support, large-scale population-based integrative-omics can lead to crucial new discoveries that deepen the understanding of human biology and disease—and it is more approachable than ever before.
In this double-feature webinar, we will introduce you to two leading experts in neuroscience and respiratory disease research, leveraging integrative-omics technologies to uncover new insights. We will discuss their recent research in Alzheimer’s disease and chronic obstructive pulmonary disease (COPD) and outline their recommendations for building successful integrative-omics models, leveraging metabolomics technology to accelerate research objectives.
You will learn:
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- How to approach integrative-omics study design
- The functional benefit of metabolomics in multiomics research
- How to gain insights from metabolomics data integration in large cohorts
- How to identify actionable outcomes from nontargeted metabolomics data.
- Novel discoveries in Alzheimer’s disease research
- Novel discoveries in COPD research
Please note: All registrants will receive a recording of the webinar on-demand.
Programme
As it has become easier to generate metabolomics data in research studies, the challenge has shifted to how to make the most of these data. In this session, we’ll walk through several examples of how to use untargeted metabolomics data—both alone and in parallel with other omics—to uncover disease-relevant insights in cohort studies.
Achieving fast, accurate, and reproducible metabolomic data can be a challenging task that requires investing in people, technology, and novel methods to derive functionally insights. In this short session we will demonstrate how Metabolon’s metabolomics-as-a-service solution can be leveraged to improve metabolite-level insights, today.
With collaborators studying COPD, we have analyzed a variety of omics data sets to gain insight into the development and progression of COPD. In this talk, Dr. Kechris will present her work for integrating omics profiles to identify molecular networks associated with COPD and for identifying COPD subtypes. Her methods are based on high dimensional data approaches including canonical correlation analysis and deep learning.
Speakers
Katerina Kechris, Ph.D.
Daniel Panyard, Ph.D.
Micaiah Ward, Ph.D.
Field Metabolomics Scientist at Metabolon
Dr. Micaiah Ward is a Field Metabolomics Scientist supporting Metabolon’s North America East Region and Population Health activities. Prior to joining Metabolon, Micaiah earned her Ph.D. in Cellular and Molecular Biology from Florida State University where her research incorporated genomics, transcriptomics, and proteomics to investigate and characterize venoms from snakes, centipedes, and scorpions. In addition, she used genome-wide association (GWAS) and evolve and resequencing (E&R) approaches to identify the genetic architecture of evolved venom resistance in fruit flies (Drosophila melanogaster). After completing her Ph.D., Dr. Ward served as a postdoctoral research fellow at Regeneron Pharmaceuticals, where she honed experience in immuno-oncology, infectious diseases, and CRISPR technology. Her broad scientific acumen and multi-omics expertise allow Dr. Ward to highlight the added value of metabolomics in moving the needle of scientific progress across basic and applied research areas in academia and industry.
