Development and validation of a robust automated analysis of plasma phospholipid fatty acids for metabolic phenotyping of large epidemiological studies
Wang, Laura Y
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Wang, L. Y., Summerhill, K., Rodriguez-Canas, C., Mather, I., Patel, P., Eiden, M., Young, S., et al. (2013). Development and validation of a robust automated analysis of plasma phospholipid fatty acids for metabolic phenotyping of large epidemiological studies. https://doi.org/10.1186/gm443
Abstract A fully automated, high-throughput method was developed to profile the fatty acids of phospholipids from human plasma samples for application to a large epidemiological sample set (n > 25,000). We report here on the data obtained for the quality-control materials used with the first 860 batches, and the validation process used. The method consists of two robotic systems combined with gas chromatography, performing lipid extraction, phospholipid isolation, hydrolysis and derivatization to fatty-acid methyl esters, and on-line analysis. This is the first report showing that fatty-acid profiling is an achievable strategy for metabolic phenotyping in very large epidemiological and genetic studies.
Medical Research Council (MC_U106179471)
External DOI: https://doi.org/10.1186/gm443
This record's URL: http://www.dspace.cam.ac.uk/handle/1810/244678
Rights Holder: Laura Wang et al.; licensee BioMed Central Ltd.