Development and Validation of a Robust Automated Analysis of Plasma Phospholipid Fatty Acids for Metabolic Phenotyping of Large Epidemiological Studies

Overview

Journal Genome Med

Publisher Biomed Central

Specialty Genetics

Date 2013 Apr 27

PMID 23618465

Citations 24

Authors

Laura Yun Wang

Keith Summerhill

Carmen Rodriguez-Canas

Ian Mather

Pinal Patel

Michael Eiden

Stephen Young

Nita G Forouhi

Albert Koulman

Affiliations

Soon will be listed here.

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.

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