METHODS: The WHI recruited 161,808 postmenopausal women aged 50 to 79 years at 40 clinical centers across the United States from 1993 to 1998 with ongoing follow-up. The current analysis includes data through 2005. Statin use was captured at enrollment and year 3. Incident DM status was determined annually from enrollment. Cox proportional hazards models were used to estimate the risk of DM by statin use, with adjustments for propensity score and other potential confounding factors. Subgroup analyses by race/ethnicity, obesity status, and age group were conducted to uncover effect modification.

RESULTS: This investigation included 153,840 women without DM and no missing data at baseline. At baseline, 7.04% reported taking statin medication. There were 10,242 incident cases of self-reported DM over 1,004,466 person-years of follow-up. Statin use at baseline was associated with an increased risk of DM (hazard ratio [HR], 1.71; 95% CI, 1.61-1.83). This association remained after adjusting for other potential confounders (multivariate-adjusted HR, 1.48; 95% CI, 1.38-1.59) and was observed for all types of statin medications. Subset analyses evaluating the association of self-reported DM with longitudinal measures of statin use in 125,575 women confirmed these findings.

CONCLUSIONS: Statin medication use in postmenopausal women is associated with an increased risk for DM. This may be a medication class effect. Further study by statin type and dose may reveal varying risk levels for new-onset DM in this population.

RESEARCH DESIGN AND METHODS Data on race/ethnicity, baseline diabetes prevalence, and incident diabetes were obtained from 158,833 women recruited from 1993-1998 and followed through August 2009. The relationship between race/ethnicity, other potential risk factors, and the risk of incident diabetes was estimated using Cox proportional hazards models from which hazard ratios (HRs) and 95% CIs were computed.

RESULTS Participants were aged 63 years on average at baseline. The racial/ethnic distribution was 84.1% non-Hispanic white, 9.2% non-Hispanic black, 4.1% Hispanic, and 2.6% Asian. After an average of 10.4 years of follow-up, compared with whites and adjusting for potential confounders, the HRs for incident diabetes were 1.55 for blacks (95% CI 1.47-1.63), 1.67 for Hispanics (1.54-1.81), and 1.86 for Asians (1.68-2.06). Whites, blacks, and Hispanics with all factors (i.e., weight, physical activity, dietary quality, and smoking) in the low-risk category had 60, 69, and 63% lower risk for incident diabetes. Although contributions of different risk factors varied slightly by race/ethnicity, most findings were similar across groups, and women who had both a healthy weight and were in the highest tertile of physical activity had less than one-third the risk of diabetes compared with obese and inactive women.

CONCLUSIONS Despite large racial/ethnic differences in diabetes incidence, most variability could be attributed to lifestyle factors. Our findings show that the majority of diabetes cases are preventable, and risk reduction strategies can be effectively applied to all racial/ethnic groups.

METHODS: We evaluated associations between self-reported sleep duration and endometrial cancer risk using publicly available prospective data on 48,725 participants in the Women's Health Initiative Observational Study, among whom 452 adjudicated incident cases of endometrial cancer were diagnosed over approximately 7.5 years of follow-up. Sleep duration was self-reported at baseline. Cox proportional hazards regression was used to estimate hazard ratios (HR) and 95% confidence intervals (CI) for endometrial cancer risk with adjustment for potential confounders.

RESULTS: Most women reported sleeping ≤ 6 (33.3%) or 7 (38.5%) h each night; fewer reported sleeping 8 (23.4%) or ≥ 9 (4.8%) h each night. In adjusted analyses, there was an indication of reduced risk associated with longer sleep duration, though no statistically significant association was observed. Women who slept ≥ 9 h had a nonsignificant reduced risk of endometrial cancer compared with women who slept ≤ 6 h (HR = 0.87; 95% CI = 0.51-1.46).

CONCLUSIONS: We found weak evidence of an association between sleep duration and endometrial cancer risk. Self-reported sleep duration may not adequately represent melatonin levels, thus further studies utilizing urinary melatonin levels are necessary to establish the mechanism by which night shift work increases endometrial cancer risk.

RESEARCH DESIGN AND METHODS: A total of 161,808 postmenopausal women were followed for over an average of 7.6 years. Hazard ratios (HRs) estimating the effects of elevated depressive symptoms and antidepressant use on newly diagnosed incident diabetes were obtained using Cox proportional hazards models adjusted for known diabetes risk factors.

RESULTS: Multivariable-adjusted HRs indicated an increased risk of incident diabetes with elevated baseline depressive symptoms (HR 1.13 [95% CI 1.07-1.20]) and antidepressant use (1.18 [1.10-1.28]). These associations persisted through year 3 data, in which respective adjusted HRs were 1.23 (1.09-1.39) and 1.31 (1.14-1.50).

CONCLUSIONS: Postmenopausal women with elevated depressive symptoms who also use antidepressants have a greater risk of developing incident diabetes. In addition, longstanding elevated depressive symptoms and recent antidepressant medication use increase the risk of incident diabetes.

Theorem B. Suppose G is a nonabelian group with 2-Sylow subgroup S and 5-Sylow subgroup T and contains a (160, 54, 18) difference set. Then we have one of three possibilities. (1) T is normal, |ϕ(S)| = 8, and one of the following is true: (a) G = S × T and S is nonabelian; (b) G has a D10image; or (c) G has a Frobenius image of order 20. (2) G has a Frobenius image of order 80. (3) G is of index 6 in A Γ L(1, 16).

To prove the first case of Theorem A, we find the possible distribution of a putative difference set with the stipulated parameters among the cosets of a normal subgroup using irreducible representations of the quotient; we show that no such distribution is possible. The other two cases are due to others. In the second (due to Pott) irreducible representations of the elementary abelian quotient of order 32 give a contradiction. In the third (due to an anonymous referee), the contradiction derives from a theorem of Lander together with Dillon's “dihedral trick.” Theorem B summarizes the open nonabelian cases based on this work.

METHODS: PACTG 316 evaluated if the addition of intrapartum/neonatal nevirapine to established ART during pregnancy reduced perinatal transmission of HIV-1. Detailed data were collected on maternal ART use throughout pregnancy. For this analysis, women were categorized into 1 of 6 groups based on type of therapy during pregnancy (monotherapy [monoRx], combination without protease inhibitor [PI], combination with PI) and start date (early = before pregnancy or during first trimester, late = begun second or third trimester). Outcomes were determined from signs/symptoms, diagnoses, laboratory results forms prospectively completed on study at enrollment, delivery and 6 wks postpartum.

RESULTS: A total 1,409 women were included in the analysis: 290 monoRx early, 34 monoRx late, 175 combo no PI early, 327 combo no PI late, 263 combo PI early, and 320 combo PI late. The most common symptoms anytime during pregnancy (moderate grade or higher) were vaginal bleeding 5.5%, nausea/vomiting 2.7%, and headache 2.2%. The most frequent lab abnormalities were anemia ( 2.5 x ULN) 1.1%. Mean gestational age at delivery was 38.1 wks and mean birth weight was 3078 g. Stillbirth occurred in 0.4%. Bacterial pneumonia occurred in 3% of women and AIDS-associated pneumonia in 2% during pregnancy or the postpartum period. Peripartum complication rates were low and depended on delivery mode. Event rates did not differ by antiretroviral group or study treatment assignment.

CONCLUSIONS: In this population of HIV-infected women receiving prenatal care and ART, adverse events were uncommon and did not differ by type and duration of ART. Pneumonia occurred relatively frequently during pregnancy.

Results: Simulation studies revealed that the classifier Prediction Analysis of Microarrays had the highest classification accuracy in the absence of noise, statistical interactions and when feature distributions were multivariate Gaussian within each class. In the presence of statistical interactions, modest effect sizes and the absence of noise, Support Vector Machines achieved the best performance followed closely by Random Forests. Random Forests was optimal in settings that included both significant levels of high dimensional noise features and statistical interactions between biomarker pairs. The data applications revealed similar trends in the relative performances of each classifier.

Conclusion: Random Forests had the highest classification accuracy among the four classifiers and was successful in incorporating interaction effects between features in the presence of noise in high dimensional datasets.

Results: We present a graph-theoretic approach to test the significance of the association between multiple disparate sources of functional genomics data by proposing two statistical tests, namely edge permutation and node label permutation tests. We demonstrate the use of the proposed tests by finding significant association between a Gene Ontology-derived predictome and data obtained from mRNA expression and phenotypic experiments for Saccharomyces cerevisiae. Moreover, we employ the graph-theoretic framework to recast a surprising discrepancy presented elsewhere between gene expression and knockout phenotype, using expression data from a different set of experiments.

Availability: An R software package, GraphAT, containing the data and statistical procedures is available from Bioconductor: http://www.bioconductor.org