Characterization of ELSA-Brasil participants (N = 12586) by frequency of coffee consumption per day, at baseline (2008–2010).

<p>Values are means and standard deviations for continuous variables and frequencies and percentages for categorical variables. Abbreviations: BMI, body mass index (kg/m²); WHR, waist-hip ratio.</p><p>^a “Other”: those reporting their race/skin color as “Asian” or “Indigenous.</p><p>^b Highest level of instruction completed was High school, or less.</p><p>^c Typically engage in leisure time physical activity 1 day/week or less.</p><p>Characterization of ELSA-Brasil participants (N = 12586) by frequency of coffee consumption per day, at baseline (2008–2010).</p

Adjusted^* Mean (SE) values for metabolic measures according to the relationship with frequency of coffee consumption per day.

<p>Values presented are Mean ± SE (Standard error). Fasting insulin, two-hour postload insulin, HOMA-IR, HOMA-β, & ISI (composite) are presented as Geometric means. To convert to conventional units: mmol*18.018 = mg/dl; pmol/l*.167 = μIU/ml.</p><p>† P-value for the test of any association between coffee consumption and the outcome of interest</p><p>* Model 1: adjusted for sex, age (years), ELSA-Brasil center.</p><p>Model 2: + race/color (white, pardo, black, asian/indigenous), education (high school or less, some university or more), education of mother (high school or less, some university or more), smoking status (current, former, never smoker), alcohol intake (user, former user, never user), leisure time physical activity level (engage in physical activity one time per week or less, engage in physical activity two or more times per week), hypertension, family history of diabetes, daily fruit consumption, daily vegetable consumption, dairy product intake (g/day), beef intake (g/day), white rice intake (g/day), soda intake (g/day), juice intake (g/day), tea intake (g/day), % kcal from fat.</p><p>Model 3: + body mass index, waist-hip ratio, C-reactive protein.</p><p>Model 4: + Magnesium. Further adjustment for insulin measures (fasting and 2-hour postload) for fasting glucose, two-hour postload glucose, and HbA1c analyses.</p><p>ELSA-Brasil, 2008–2012 (N = 12586).</p

Fully-adjusted (Model 3) associations of frequency of coffee consumption per day with newly diagnosed diabetes and intermediate hyperglycemia, from ELSA-Brasil (2008–2012) (N = 12586).

<p>For IFG, IGT, HbA1c analyses, n = 11245 after exclusion of participants with newly diagnosed diabetes.</p

L'Auto-vélo : automobilisme, cyclisme, athlétisme, yachting, aérostation, escrime, hippisme / dir. Henri Desgranges

23 juillet 19321932/07/23 (A33,N11543)

Genome-Wide Significant SNPs from the Sex-Combined Multi-Ethnic Meta-Analysis.

<p>The novel loci identified using Multi-Ethnic Meta-analysis (that were not identified in the European only analysis) are listed in <b>bold</b>.</p>*<p>When possible, plausible biological candidate genes have been listed; otherwise, the closest gene is designated.</p>‡<p>Lead SNP is the SNP with the lowest <i>p</i>-value for each locus.</p>†<p>Positions are relative to Human Genome NCBI Build 36.</p>§<p>log₁₀ Bayes factor (BF) from the MANTRA analysis. A log₁₀ BF of 6 and higher was considered as a conservative threshold for genome-wide significance.</p>††<p>The posterior probability of heterogeneity between studies.</p>¶<p>EA: effect allele, NEA: non-effect allele.</p>¶¶<p>EAF: Frequency of effect allele in CEU, East Asian, and AA, populations respectively.</p

Flow chart of study design.

<p>Flow chart of study design.</p

The Association of Lead Genome-Wide Significant SNPs for Adiponectin with mRNA Levels of Their Nearest Gene.

‡<p>Lead SNP is the SNP with the lowest <i>p</i>-value for each gene in gene expression data.</p>‡‡<p>Lead SNP is the SNP with the lowest <i>p</i>-value for each locus in meta-analysis from discovery phase.</p>¶<p>EA: Effect allele.</p>¶¶<p>EAF: Frequency of effect allele.</p>§<p>Betas are estimated expression levels of the genes.</p>*<p>P value for lead SNP is the SNP in gene expression data.</p>**<p>P value for lead SNP in meta-analysis from discovery phase.</p>$<p>r² LD between lead SNP from expression and lead SNP from meta-analysis.</p

The Association of mRNA Levels from Genes in Candidate Loci in Human Adipocytes with Circulating Adiponectin Levels.

§<p>Betas are estimated from log transformed and quantile-quantile normalized values.</p>*<p>These two loci are independent loci.</p

Lead SNP per Locus for Genome-Wide Significant SNPs Arising from the Sex-Combined Meta-Analysis in European Populations.

<p> <i>All SNPs achieving genome-wide significance in the joint analysis phase are marked in italics.</i></p>*<p>Joint analysis indicates results from the meta-analysis of discovery and follow-up <i>in-silico</i> and <i>de-novo</i> phases.</p>**<p>When possible, plausible biological candidate genes have been listed; otherwise, the closest gene is designated.</p>‡<p>Lead SNP is the SNP with the lowest <i>p</i>-value for each locus.</p>§<p>Betas are estimated from models using the natural log transformed adiponectin.</p>¶<p>EA: Effect allele, NEA: Non-effect allele.</p>¶¶<p>EAF: Effect allele frequency.</p

Manhattan plots for meta-analyses in the discovery phase.

<p>A) Combined sex analysis in European populations, B) Meta-Analysis of Multiple Ethnicities. The Manhattan plots show −Log₁₀ (<i>p</i>-value) measures for association between single nucleotide polymorphisms (SNPs) and chromosomal position. The SNPs that achieved genome-wide significance are highlighted in green.</p