All are invited to the CEDAR/MRC Epidemiology Seminar:
The Challenges of Meta-analysing Metabolomics Data; Experiences from the Consortium Of METabolomics Studies (COMETS).
Genetics teaches us that for highly-dimensional omic technologies sample size is key, and that necessary sample sizes can best be archived via meta-analyses. This poses a challenge for metabolomics due to its relative nature of measurement, the lack of a standardized metabolite nomenclature and differences in metabolome coverage between platforms. The Consortium Of METabolomics Studies (COMETS); has developed a novel workflow to deal with these issues for the first time. I will discuss our experiences with COMETS and how we have leveraged these developments to conduct largest and most comprehensive metabolomics of BMI study to date, including >100,000 adults from 43 cohorts worldwide.
Rachel Kelly is an Instructor of Medicine and Associate Epidemiologist in the Channing Division of Network Medicine (CDNM) at Harvard Medical School and Brigham and Women’s Hospital. She has been working in the field of metabolomic epidemiology for nearly ten years, and her research focuses on chronic complex diseases, particularly respiratory and neurodevelopmental disorders, and on novel methods for the integration of metabolomics data with other omic data types. She completed her PhD at Imperial College London, and undertook postdoctoral fellowships at the Harvard School of Public Health and at the CDNM before transitioning to faculty at the CDNM in 2017.
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