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261.
Breast cancer exhibits familial aggregation, consistent with variation in genetic susceptibility to the disease. Known susceptibility genes account for less than 25% of the familial risk of breast cancer, and the residual genetic variance is likely to be due to variants conferring more moderate risks. To identify further susceptibility alleles, we conducted a two-stage genome-wide association study in 4,398 breast cancer cases and 4,316 controls, followed by a third stage in which 30 single nucleotide polymorphisms (SNPs) were tested for confirmation in 21,860 cases and 22,578 controls from 22 studies. We used 227,876 SNPs that were estimated to correlate with 77% of known common SNPs in Europeans at r2 > 0.5. SNPs in five novel independent loci exhibited strong and consistent evidence of association with breast cancer (P < 10(-7)). Four of these contain plausible causative genes (FGFR2, TNRC9, MAP3K1 and LSP1). At the second stage, 1,792 SNPs were significant at the P < 0.05 level compared with an estimated 1,343 that would be expected by chance, indicating that many additional common susceptibility alleles may be identifiable by this approach.  相似文献   
262.

The objective of this study was to conduct Action Research (AR) to create and implement a WEEE management program that was in line with the BNPSW regulations. The city chosen for this study was São João del Rei (SJDR) located in the state of Minas Gerais, Brazil. Using AR it was possible to structure a WEEE management program that involved stakeholders from the city administration, the Federal University of São João del Rei, and representatives from the private sector. The program ultimately collected 1710 kg of WEEE that received an environmentally appropriate destination. Although no major difficulties were observed with respect to the AR process itself, some challenges were encountered. Lack of infrastructure and hesitance on behalf of the public with respect to implementing WEEE Reverse Logistics were complicating factors. The action research as methodology proved to be highly efficient in dealing with e-waste reverse logistics. It resulted in faster decision making, in turn generating better results. Good decisions were repeated and errors were corrected. The Action Research project highlighted the need for raising public awareness about WEEE disposal. It also showed that the public was ultimately interested in participating and contributing to the proposed WEEE management program. The awareness of the population has led to a significant increase in the amount of collected waste. The model resulting from this research serve as a reference for decision makers in implementing similar programs around the world and to contribute to the existing body of knowledge on the subject.

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