A genome-wide association study was conducted among Chinese women to identify risk variants for breast cancer. By analyzing 607,728 SNPs in 1505 cases and 1522 controls, we selected 29 promising SNPs for a fast-track replication in an independent set of 1554 cases and 1576 controls. Four replicated loci were further investigated in a third set of samples including 3472 cases and 900 controls. SNP rs2046210 at 6q25.1, located upstream of the estrogen receptor 1 gene (ESR1), exhibited strong and consistent association with breast cancer across all three stages. Adjusted odds ratio (95% CI) were 1.36 (1.24–1.49) and 1.59 (1.40–1.82), respectively, for genotypes A/G and A/A versus G/G (P for trend, 2.0×10−15) in the pooled analysis of samples from all three stages. A similar, although weaker, association was also found in an independent study including 1591 cases and 1466 controls of European ancestry (Ptrend, 0.01). These results provide strong evidence implicating 6q25.1 as a susceptibility locus for breast cancer.

Background and Aims Diet may play an important role in the development of hyperuricemia and gout. However, the association between dietary factors and hyperuricemia remains unclear, and few studies have investigated direct links between food intake and hyperuricemia. The aim of this study was to investigate associations between high purine-content foods and protein intake with the prevalence of hyperuricemia by using data from a cross-sectional study of 3,978 men aged 40–74 yrs living in Shanghai, China.

Reproducibility and validity of the physical activity questionnaire (PAQ) used in the Shanghai Men's Health Study (2003-2006, People's Republic of China) was evaluated in a random sample of 196 participants aged 40-74 years. Participants completed a PAQ at baseline and again 1 year later, 12 monthly 7-day physical activity recalls, and four quarterly 1-week physical activity logs. Reproducibility was evaluated by using the two PAQs and validity by comparing the PAQs with 1-year averages of the two criterion measures: 7-day physical activity recall and physical activity log. The PAQ had moderate to high reproducibility for measuring adult exercise participation (kappa = 0.60) and energy expenditure (r(s) = 0.68), nonexercise activities (correlation coefficients = 0.42-0.68), and total daily energy expenditure (r(s) = 0.68, kappa(quartiles) = 0.47). Correlations between the PAQ and criterion measures of adult exercise were 0.45 (7-day physical activity recall) and 0.51 (physical activity log) for the first PAQ and 0.62 (7-day physical activity recall) and 0.71 (physical activity log) for the second PAQ. Correlations between PAQ nonexercise activities and the physical activity log and 7-day physical activity recall were 0.31-0.86. Correlations for total energy expenditure were high (0.62-0.77). Results indicate that the Shanghai Men's Health Study PAQ has reasonable reproducibility and validity for classifying men by their level of exercise and nonexercise activities in this cohort.