RT Journal Article
SR Electronic
T1 Large-scale non-targeted metabolomic profiling in three human population-based studies
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 002782
DO 10.1101/002782
A1 Andrea Ganna
A1 Tove Fall
A1 Samira Salihovic
A1 Woojoo Lee
A1 Corey D Broeckling
A1 Jitender Kumar
A1 Sara Hägg
A1 Markus Stenemo
A1 Patrik K.E. Magnusson
A1 Jessica Prenni
A1 Lars Lind
A1 Yudi Pawitan
A1 Erik Ingelsson
YR 2015
UL http://biorxiv.org/content/early/2015/11/12/002782.abstract
AB Non-targeted metabolomic profiling is used to simultaneously assess a large part of the metabolome in a biological sample. Here, we describe both the analytical and computational methods used to analyze a large UPLC-Q-TOF MS-based metabolomic profiling effort using plasma and serum samples from participants in three Swedish population-based studies of middle-aged and older human subjects: TwinGene, ULSAM and PIVUS. At present, more than 200 metabolites have been manually annotated in more than 3,600 participants using an in-house library of standards and publically available spectral databases. Data available at the Metabolights repository include individual raw unprocessed data, processed data, basic demographic variables and spectra of annotated metabolites. Additional phenotypical and genetic data is available upon request to cohort steering committees. These studies represent a unique resource to explore and evaluate how metabolic variability across individuals affects human diseases.