11 research outputs found

    Additional file 3: of Integrating mean and variance heterogeneities to identify differentially expressed genes

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    Additional tables of real data analyses. This file displays more results derived by re-analyzing the gene expression profiles of peripheral circulating B Lymphocytes. (DOCX 30 kb

    Additional file 2: of Integrating mean and variance heterogeneities to identify differentially expressed genes

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    The null independence between tests statistics on mean and variance heterogeneities. This file is composed of three appendixes. Appendix A: The null independence under normality setting. Appendix B: The null independence under generic spherically symmetric setting. Appendix C: Additional empirical results on the null joint distributions of mean and variance test statistics. (ZIP 311 kb

    Joint Association of Nicotinic Acetylcholine Receptor Variants with Abdominal Obesity in American Indians: The Strong Heart Family Study

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    <div><p>Cigarette smoke is a strong risk factor for obesity and cardiovascular disease. The effect of genetic variants involved in nicotine metabolism on obesity or body composition has not been well studied. Though many genetic variants have previously been associated with adiposity or body fat distribution, a single variant usually confers a minimal individual risk. The goal of this study is to evaluate the joint association of multiple variants involved in cigarette smoke or nicotine dependence with obesity-related phenotypes in American Indians. To achieve this goal, we genotyped 61 tagSNPs in seven genes encoding nicotine acetylcholine receptors (nAChRs) in 3,665 American Indians participating in the Strong Heart Family Study. Single SNP association with obesity-related traits was tested using family-based association, adjusting for traditional risk factors including smoking. Joint association of all SNPs in the seven nAChRs genes were examined by gene-family analysis based on weighted truncated product method (TPM). Multiple testing was controlled by false discovery rate (FDR). Results demonstrate that multiple SNPs showed weak individual association with one or more measures of obesity, but none survived correction for multiple testing. However, gene-family analysis revealed significant associations with waist circumference (p = 0.0001) and waist-to-hip ratio (p = 0.0001), but not body mass index (p = 0.20) and percent body fat (p = 0.29), indicating that genetic variants are jointly associated with abdominal, but not general, obesity among American Indians. The observed combined genetic effect is independent of cigarette smoking <i>per se</i>. In conclusion, multiple variants in the nAChR gene family are jointly associated with abdominal obesity in American Indians, independent of general obesity and cigarette smoking <i>per se</i>.</p></div

    Characteristics of study participants according to smoking status (n = 3,640).

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    <p><sup>*</sup>P values were obtained by GEE, adjusting for age and sex when appropriate; <sup>‡</sup> Former plus current smokers.</p

    Separation of individuals with normal body weight versus those with abdominal obesity by a multi-metabolites score comprising of all metabolites significantly associated with waist circumference using sparse partial least-squares discriminant analysis.

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    <p>Separation of individuals with normal body weight versus those with abdominal obesity by a multi-metabolites score comprising of all metabolites significantly associated with waist circumference using sparse partial least-squares discriminant analysis.</p

    Decomposition rate of AmpB in lipid formulations.

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    <p>Data indicate mean rate of loss of AmB ± SD (n = 4). Results derived from the data in <a href="http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0000913#pntd-0000913-g001" target="_blank">Fig. 1</a> and <a href="http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0000913#pntd-0000913-g002" target="_blank">2</a>.</p

    Stability of AmB in lipid suspensions at 30°C over 60 days.

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    <p>Symbols: solid diamonds: iCo-010; solid squares: iCo-011; crosses: iCo-012; open circles: iCo-013. Data represent mean ± SD (n = 4).</p
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