13 research outputs found

    Gaussian graphical model of serum amino acids and acylcarnitine metabolite concentrations in KORA S4.

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    <p>Each node represents a metabolite, whereas edges represent significant partial correlations. Nodes were coloured according to the ÎČ-estimate and the p-value from the linear models (red  =  positive association with FFMI; blue  =  negative association with FFMI; white  =  not significant association with FFMI).</p

    Twenty-two identified and replicated loci and their overlap with associations to metabolic traits and clinical phenotypes.

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    <p><sup>a</sup> SNP with the strongest association to targeted metabolic traits (“lead SNP”)</p><p><sup>b</sup> SNP with the strongest association to non-targeted metabolic traits</p><p><sup>c</sup> manually added to the list of most plausible candidate genes derived by evidence-based selection</p><p><sup>d</sup> additional candidates match to other non-targeted traits that also associate with the lead SNP</p><p><sup>e</sup> results from GWAS (<i>P</i> < 5.0×10<sup>−8</sup>)</p><p><sup>f</sup> mutations determined in clinical studies</p><p>For each locus, we selected all variants that displayed genome-wide significant association signals to metabolic traits in the SHIP-0 cohort. We added their proxy variants in LD (r<sup>2</sup> ≄ 0.8; based on 1000 genomes project data [<a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1005487#pgen.1005487.ref050" target="_blank">50</a>, <a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1005487#pgen.1005487.ref051" target="_blank">51</a>]). These variant sets were used for the selection of candidate genes and the comparison with association results from other studies. <b>Candidate genes:</b> selection of genes based on variant evidence (genes hit or close-by, eQTL, potentially regulatory effects, or missense variants) (<a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1005487#pgen.1005487.s007" target="_blank">S3 Table</a>). Genes with the highest evidence counts are listed. Genes with the most plausible biochemical relation to the associated trait are highlighted in bold typeface. <b>Associated traits</b>: Targeted/non-targeted metabolomics: traits that display genome-wide significant association signals in SHIP-0. The arrows indicate whether the trait increases (↗) or decreases (↘) per copy of the effect allele. For non-targeted traits, the most plausible metabolite candidates according to metabomatching are given. <b>Other mGWAS in urine/blood:</b> metabolic traits that were previously found to be associated with a locus variant. The arrows indicate the directionality of the effect for the reported effect allele (where available). <b>Clinical phenotypes:</b> overlap with variants found to be associated with clinical traits. <b>Comment</b>: Gene expression rates were taken from the Illumina Body Map 2.0 (<a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1005487#pgen.1005487.s008" target="_blank">S4 Table</a>). Protein localizations were taken from the Human Protein Atlas (version 12) [<a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1005487#pgen.1005487.ref052" target="_blank">52</a>]. For genes linked to clinical traits, we provide OMIM or OrphaNet accession numbers if available. <b>Functional match</b>: Indicates which associations exhibit a sound biological link between gene function and the biochemical nature of the associated metabolite(s).</p><p>Twenty-two identified and replicated loci and their overlap with associations to metabolic traits and clinical phenotypes.</p

    Fifteen genetic loci as discovered in the SHIP-0 data set and their most significant associations to targeted metabolic traits.

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    <p><b>Chr/Position</b>: Chromosomal location of the SNP according to the human reference genome (GRCh37). <b>EA/EAF</b>: Effect allele and frequency. <b>Trait or pairwise ratio</b>: Tested metabolic trait. In case of ratios, the trait that shows the stronger association signal is in the numerator. <b>N</b>: Number of samples for which both genotype and phenotype data were available for the tested SNP/metabolic trait pair. <b>beta’</b>: beta’ is defined as 10<sup>beta</sup>-1 where beta depicts the relative effect size representing the slope of the regression line in the linear model when using log<sub>10</sub>-scaled metabolic traits and the occurrence of the SNP’s minor allele (coded as 0,1, and 2). Thus, beta’ describes the relative difference per minor allele copy for non-scaled metabolic traits in comparison to the estimated mean of the metabolic trait in the major homozygote test subjects. <b><i>P</i>-gain</b>: Defined as min(<i>P</i>(M<sub>1</sub>)/<i>P</i>(M<sub>1</sub>/M<sub>2</sub>), <i>P</i>(M<sub>2</sub>)/<i>P</i>(M<sub>1</sub>/M<sub>2</sub>)), where M<sub>1</sub> and M<sub>2</sub> represent the two traits of which the ratio M<sub>1</sub>/M<sub>2</sub> is built. <b>Replicated</b>: SNP/metabolic trait pair was replicated in KORA F4 (<i>P <</i> 1.32×10<sup>−3</sup>) (<a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1005487#pgen.1005487.s005" target="_blank">S1 Table</a>). <b>Non-targeted</b>: SNP or proxy in linkage disequilibrium (LD) is also associated with a non-targeted metabolic trait (<i>P <</i> 3.25×10<sup>−12</sup>) (<a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1005487#pgen.1005487.t002" target="_blank">Table 2</a>).</p><p>Fifteen genetic loci as discovered in the SHIP-0 data set and their most significant associations to targeted metabolic traits.</p
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