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Development and validation of a robust automated analysis of plasma phospholipid fatty acids for metabolic phenotyping of large epidemiological studies.


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Authors

Wang, Laura Yun 
Summerhill, Keith 
Rodriguez-Canas, Carmen 
Mather, Ian 
Patel, Pinal 

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.

Description

Keywords

0301 Analytical Chemistry, Genetics

Journal Title

Genome Med

Conference Name

Journal ISSN

1756-994X
1756-994X

Volume Title

Publisher

Springer Science and Business Media LLC
Sponsorship
Medical Research Council (MC_UU_12015/5)
Medical Research Council (MC_U106179471)