Integrative genetic and metabolite profiling analysis suggests altered phosphatidylcholine metabolism in asthma

• DOI: 10.1111/all.12110
• Publication Date: 2013-03-01T20:35:16Z
• Authors: J. S. Ried; H. Baurecht; F. Stückler; J. Krumsiek; C. Gieger; J. Heinrich; M. Kabesch; C. Prehn; A. Peters; E. Rodriguez; H. Schulz; K. Strauch; K. Suhre; R. Wang‐Sattler; H.‐E. Wichmann; F. J. Theis; T. Illig; J. Adamski; S. Weidinger
• Keywords: Genome-wide Association Study; Genetic Association; SNP

Abstract Background Genome‐wide association studies (GWAS) have identified many risk loci for asthma, but effect sizes are small, and in most cases, the biological mechanisms unclear. Targeted metabolite quantification that provides information about a whole range of pathways intermediary metabolism can help to identify biomarkers investigate disease mechanisms. Combining genetic metabolic aid characterizing signals with high resolution. This work aimed interrelation current candidate asthma alleles panel metabolites. Methods We investigated 151 metabolites, quantified by targeted mass spectrometry, fasting serum asthmatic nonasthmatic individuals from population‐based KORA F4 study ( N = 2925). In addition, we analysed effects single‐nucleotide polymorphisms (SNPs) at 24 on these Results Increased levels various phosphatidylcholines decreased lyso‐phosphatidylcholines were associated asthma. Likewise, PDED3 MED24 genes susceptibility locus 17q21 increased concentrations consistent directions. Conclusions Our demonstrated potential metabolomics infer asthma‐related identification potentially deregulated phospholipids associate alleles.