35 research outputs found

    Primary analysis: SNPs that showed genome-wide associations (p≤1.0×10<sup>−5</sup>) with CAC in GENOA (smokers, nonsmokers, gene×smoking interactions).

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    <p>In addition, GENOA SNPs located in genes that are related to CAC with p-values between 10<sup>−4</sup> and 10<sup>−5</sup> are shown (used in secondary analysis). The corresponding Framingham p values for GENOA index SNP are presented.</p><p>SNP, single nucleotide polymorphism; Chr, chromosome; Mb, megabases; MAF, minor allele frequency; Beta, beta coefficient; SE, standard error. Models were adjusted for the following covariates: age, sex, body mass index (BMI), pulse pressure, diabetes, systolic blood pressure (SBP), use of anti-hypertensive medications, use of lipid lowering medications, and LDL-cholesterol.</p

    GxS interaction effects stratified by smoking status for <i>ADAMST9</i> (rs4410439) (Panel A) and <i>TBC1D4</i> (rs1560540) (Panel B) genotypes.

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    <p>The Figure shows the additive genotype effects (odds ratios) for each smoking strata used to calculate interaction tests (blue bars for nonsmokers and red bars for smokers). The odds ratios on the y-axis are plotted on the log scale with error bars for 95% confidence intervals, and the genotypes are shown on the x-axis.</p

    Regional plot (ARIC) of rs1859023 association with incident CHD and LD in the region arround rs1859023 (YRI) [<b>22]</b>, [23<b> </b>].

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    <p>Regional plot (ARIC) of rs1859023 association with incident CHD and LD in the region arround rs1859023 (YRI) <a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1002199#pgen.1002199-Pruim1" target="_blank">[<b>22]</b></a>, <a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1002199#pgen.1002199-Johnson1" target="_blank">[23<b> </b>]</a>.</p

    Secondary analysis: results of gene-based replication in FHS for genes containing SNPs associated with CAC in the GENOA discovery cohort.

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    <p>The number of LD blocks in each gene region used to correct for multiple testing are presented, as well as thresholds for significance in FHS.</p><p>SNP, single nucleotide polymorphism; Chr, chromosome; Mb, megabases; MAF, minor allele frequency; Beta, beta coefficient; SE, standard error. Models were adjusted for the following covariates: age, sex, body mass index (BMI), pulse pressure, diabetes, systolic blood pressure (SBP), use of anti-hypertensive medications, use of lipid lowering medications, and LDL-cholesterol.</p

    SNPs with significant effects beyond risk factors on birth weight.

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    1<p>Model A: Birth weight = Gestation Age + Child Sex + SNP.</p>2<p>Model B: Birth weight = Gestation Age + Child Sex + Pre-pregnancy BMI + Parity + Smoking + SNP.</p>*<p>GRCh37.2 position (no rs number assigned for this SNP).</p
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