A Meta-Analysis of Thyroid-Related Traits Reveals Novel Loci and Gender-Specific Differences in the Regulation of Thyroid Function

Peer reviewe

Evaluating Forces Associated with Sentient Drivers Over the Purchase Intention of Organic Food Products

The study proposes to find out the factors which influence awareness among the consumers towards purchasing organic food product. The study is based on primary data by using tools Chi-square test, Cronbach alpha, KMO, and Bartlett's test, ANOVA, regression, correlation, and cross-tabulation. The study found that awareness driver's nutritional information, price, certification, brand name, and logos have an essential influence on the purchase intention of the product of organic food. However, labeling and food standards do not show a noteworthy rapport between labeling and organic food products' purchase plans. The core commitment and flow to explore are to analyze purchasers with respect to organic guarantee systems (accreditation, guidelines, logo, imprints, and confirmation) so we can distinguish the genuine organic products. The independent factors of awareness like organic buying preference and buying frequency, have a significant influence on the purchase intention of organic food. The research provided evidence of consumer awareness and purchase intention of organic food that would help the organic food industry to promote their products according to the attribute of customers

Evaluating Forces Associated with Sentient Drivers Over the Purchase Intention of Organic Food Products

The study proposes to find out the factors which influence awareness among the consumers towards purchasing organic food product. The study is based on primary data by using tools Chi-square test, Cronbach alpha, KMO, and Bartlett's test, ANOVA, regression, correlation, and cross-tabulation. The study found that awareness driver's nutritional information, price, certification, brand name, and logos have an essential influence on the purchase intention of the product of organic food. However, labeling and food standards do not show a noteworthy rapport between labeling and organic food products' purchase plans. The core commitment and flow to explore are to analyze purchasers with respect to organic guarantee systems (accreditation, guidelines, logo, imprints, and confirmation) so we can distinguish the genuine organic products. The independent factors of awareness like organic buying preference and buying frequency, have a significant influence on the purchase intention of organic food. The research provided evidence of consumer awareness and purchase intention of organic food that would help the organic food industry to promote their products according to the attribute of customers

Regional association plots showing genome-wide significant loci for serum FT4.

<p>In each panel (A–F), the most significant SNP is indicated (purple circle). The SNPs surrounding the most significant SNP are color-coded to reflect their LD with this SNP as in the inset (taken from pairwise r² values from the HapMap CEU database build 36/hg18). Symbols reflect genomic functional annotation, as indicated in the legend <a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1003266#pgen.1003266-Pruim1" target="_blank">[61]</a>. Genes and the position of exons, as well as the direction of transcription, are noted in lower boxes. In each panel the scale bar on the Y-axis changes according to the strength of the association.</p

Regional association plots showing genome-wide significant loci for serum TSH.

<p>In each panel (A–F), the most significant SNP is indicated (purple circle). In panel F, an independent signal at the associated locus is indicated with an arrow. The SNPs surrounding the most significant SNP are color-coded to reflect their LD with this SNP as in the inset (taken from pairwise r² values from the HapMap CEU database build 36/hg18). Symbols reflect genomic functional annotation, as indicated in the legend <a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1003266#pgen.1003266-Pruim1" target="_blank">[61]</a>. Genes and the position of exons, as well as the direction of transcription, are noted in lower boxes. In each panel the scale bar on the Y-axis changes according to the strength of the association.</p

Independent SNPs associated with TSH and FT4 serum levels.

<p>The table shows the association results for SNPs that reached genome-wide level (p<5×10⁻⁰⁸) in the main meta-analysis. SNPs at <i>LPCAT2/CAPNS2</i> and <i>NETO1/FBXO15</i> reached the GW threshold in the gender-specific meta analysis (see <a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1003266#pgen-1003266-t003" target="_blank">Table 3</a>), and here the p-value in the main meta-analysis is reported. For each SNP, the best candidate gene is showed, as well as its genomic position in build 36, the effect allele (A1) and the other allele (A2), its combined frequency across studies and its standard error, the effect size and its standard error, the p-value for association, the number of samples analyzed, and the p-values for heterogeneity of effects across the cohorts meta-analyzed. Effect sizes are standardized, so they represent the estimated phenotypic change, per each copy of the effect allele, in standard deviation units.</p

Regional association plots showing genome-wide significant loci for serum TSH.

<p>In the upper panel, the most significant SNP is indicated (purple circle). The SNPs surrounding the most significant SNP are color-coded to reflect their LD with this SNP as in the inset (taken from pairwise r² values from the HapMap CEU database build 36/hg18). Symbols reflect genomic functional annotation, as indicated in the legend <a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1003266#pgen.1003266-Pruim1" target="_blank">[61]</a>. Genes and the position of exons, as well as the direction of transcription, are noted in the lower box. The scale bar on the Y-axis changes according to the strength of the association.</p

Regional association plots showing genome-wide significant loci for serum TSH.

<p>In each panel (A–F), the most significant SNP is indicated (purple circle). The SNPs surrounding the most significant SNP are color-coded to reflect their LD with this SNP as in the inset (taken from pairwise r² values from the HapMap CEU database build 36/hg18). Symbols reflect genomic functional annotation, as indicated in the legend <a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1003266#pgen.1003266-Pruim1" target="_blank">[61]</a>. Genes and the position of exons, as well as the direction of transcription, are noted in lower boxes. In each panel the scale bar on the Y-axis changes according to the strength of the association.</p

Candidate genes at newly discovered loci for TSH and FT4 levels.

<p>The table lists genes of interest in the novel associated regions. For each associated region, the reported gene either contains the lead SNP or is in closest physical proximity with the lead SNP.</p

TSH associated SNPs in extreme phenotype categories.

<p>The table shows results for the quartile-based GRS scores (top panel) and single marker (bottom panel) analyses in extreme phenotype categories, defined as TSH >4 mIU/L (UPPER) or TSH <0.4 mIU/L (LOWER). NORMAL, individuals with TSH within the normal range. OR, odds ratio; StdErr, standard error. A1, effect allele; A2 other allele. SNPs reaching the Bonferroni significance threshold are highlighted in bold.</p