Abstract

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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.