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Finally, to assess the joint effect of carriage of multiple independently associated SNPs, we developed a gene score and computed the odds of lying within the 10% tail of the risk factor distribution, based on the quartile position in the frequency distribution of gene score values. To calculate the gene score, http://www.selleck.cn/products/Bortezomib.html the SNPs remaining in the model after variable selection were recoded with the allele having the detrimental effect as 1 and the other as 0, and each individual was assigned a score of 0, 1 or 2 according to their genotype for each SNP. The gene score was then calculated by summing the scores across all selected SNPs for each individual. The anthropometric characteristics and lipid and lipoprotein profiles of the 5059 white men and women from WHII and the 3413 women from the BWHHS after quality control are presented in Table 1. Mean vWF levels were not significantly different between men and women in WHII but were considerably higher in the BWHHS (P 0.001 and Hardy-Weinberg P-values http://www.selleckchem.com/products/PD-0332991.html > 0.0001 were found to be associated with vWF levels at the prespecified significance level of P http://www.selleckchem.com/products/Everolimus(RAD001).html (Table 2), rs6909023 (ESR1) with larger P-value was chosen based on genotype availability in the cohorts. As shown in a meta-analysis in Supplementary Figure S4, while overall the effect associated with each SNP was statistically significant (NRG1 rs1685103 beta =�C0.06 [�C0.102 to �C0.021, P= 0.003(0.02)], ESRI rs6909023 beta =�C0.098 [�C0.160 to �C0.037, P= 0.002(0.03)], this was mainly driven by the WHII study, and after exclusion of the WHII data neither effect was statistically significant (not shown). At the ABO locus the most significant association was with rs657152 (P= 9.7 �� 10?233), with 16 other SNPs having significance values of P