Publications

A great GaIn: Micrometer-sized conformal electrodes formed from the title compound are shown to be ideal for measuring the electrical properties of self-assembled monolayers. The image shows the bifurcation of the EGaIn between a metal needle and an Ag surface (not shown) at the point indicated by the two white arrows. The portion above the arrows will form the EGaIn electrode. Supporting information for this article is available on the WWW under http://www.wiley-vch.de/contents/jc_2002/2008/z703642_s.pdf or from the author. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.

Over several decades, the health benefits of consuming nuts have been investigated, resulting in a large body of evidence that nuts can reduce the risk of chronic diseases. The consumption of nuts, being a higher-fat plant food, is restricted by some in order to minimize weight gain. In this review, we discuss several factors related to energy intake from nuts, including food matrix and its impact on digestibility, and the role of nuts in regulating appetite. We review the data from randomized controlled trials and observational studies conducted to examine the relationship between nut intake and body weight or body mass index. Consistently, the evidence from RCTs and observational cohorts indicates that higher nut consumption does not cause greater weight gain; rather, nuts may be beneficial for weight control and prevention of long-term weight gain. Multiple mechanisms likely contribute to these findings, including aspects of nut composition which affect nutrient and energy availability as well as satiety signaling.

Abstract When information is exchanged across disciplinary boundaries, resources are shared, and discipline-specific approaches are altered to achieve a common scientific goal, we create a new intellectual space for transdisciplinary research. This approach, fostered heavily by multiple NCI-funded initiatives, has the potential to forge new understanding of major public health issues. By breaking down disciplinary barriers, we work toward making real, meaningful, and lasting forward motion in addressing key public health issues. One of the transdisciplinary initiatives of the NCI is TREC: Transdisciplinary Research on Energetics and Cancer. In this article, we review the goals and scope of TREC, as well as the ways in which the initiative promotes transdisciplinary science. A particular focus is on multiple examples of the most unique aspect of the initiative: the funding of developmental projects across multiple TREC centers, toward the goal of incubating high-risk science that has the potential to translate into major leaps forward in understanding energetics in cancer. As we enter an era of greater focus on investigator-initiated science, new approaches may be needed to ensure that the peer review process is not solely organized along disciplinary lines. Inclusion of expertise regarding transdisciplinarity, as well as representation from multiple scientific disciplines within a panel, may allow transdisciplinary research to receive an educated hearing. The body of researchers trained to work in a transdisciplinary research space is ideally suited to address these challenges. Clin Cancer Res; 22(7); 1565–71. ©2016 AACR.

We conducted a genome-wide association study on cutaneous basal cell carcinoma (BCC) among 2045 cases and 6013 controls of European ancestry, with follow-up replication in 1426 cases and 4845 controls. A non-synonymous SNP in the MC1R gene (rs1805007 encoding Arg151Cys substitution), a previously well-documented pigmentation gene, showed the strongest association with BCC risk in the discovery set (rs1805007[T]: OR (95% CI) for combined discovery set and replication set [1.55 (1.45-1.66); P= 4.3 × 10(-17)]. We identified that an SNP rs12210050 at 6p25 near the EXOC2 gene was associated with an increased risk of BCC [rs12210050[T]: combined OR (95% CI), 1.24 (1.17-1.31); P= 9.9 × 10(-10)]. In the locus on 13q32 near the UBAC2 gene encoding ubiquitin-associated domain-containing protein 2, we also identified a variant conferring susceptibility to BCC [rs7335046 [G]; combined OR (95% CI), 1.26 (1.18-1.34); P= 2.9 × 10(-8)]. We further evaluated the associations of these two novel SNPs (rs12210050 and rs7335046) with squamous cell carcinoma (SCC) risk as well as melanoma risk. We found that both variants, rs12210050[T] [OR (95% CI), 1.35 (1.16-1.57); P= 7.6 × 10(-5)] and rs7335046 [G] [OR (95% CI), 1.21 (1.02-1.44); P= 0.03], were associated with an increased risk of SCC. These two variants were not associated with melanoma risk. We conclude that 6p25 and 13q32 are novel loci conferring susceptibility to non-melanoma skin cancer.

OBJECTIVE The aim of this study is to investigate the intake of zinc in relation to risk of type 2 diabetes in U.S. women. RESEARCH DESIGN AND METHODS Dietary intakes of zinc and other nutrients were assessed and updated using a validated food frequency questionnaire from 1980 to 2002 among 82,297 women who were aged 33–60 years at baseline in 1980 and followed up to 2004 in the Nurses' Health Study. RESULTS During the 24 years of follow-up, 6,030 incident cases of type 2 diabetes were ascertained. After adjustment of lifestyle and dietary risk factors, the relative risks (RRs) (95% CI) of type 2 diabetes comparing the highest with the lowest quintiles were 0.90 (0.82–0.99) (Ptrend = 0.04) for total zinc intake and 0.92 (0.84–1.00) (Ptrend = 0.009) for dietary zinc intake from food sources, respectively. We further found an inverse association for dietary zinc to heme iron ratio. After multivariate adjustment of covariates, the RRs (95% CI) across quintiles of this ratio were 1.0 (reference), 0.93 (0.86–1.01), 0.86 (0.79–0.94), 0.82 (0.75–0.90), and 0.72 (0.66–0.80), respectively (Ptrend < 0.0001). CONCLUSIONS Higher zinc intake may be associated with a slightly lower risk of type 2 diabetes in women. More studies are warranted to confirm this association and to explore potential mechanisms.

Little is known about the genetic influence on BMI trajectory throughout adulthood. We created a genetic risk score (GRS) comprising 97 adult BMI-associated variants among 9,971 women and 6,405 men of European ancestry. Serial measures of BMI were assessed from 18 (women) or 21 (men) years to 85 years of age. We also examined BMI change in early (from 18 or 21 to 45 years of age), middle (from 45 to 65 years of age), and late adulthood (from 65 to 80 years of age). GRS was positively associated with BMI across all ages, with stronger associations in women than in men. The associations increased from early to middle adulthood, peaked at 45 years of age in men and at 60 years of age in women (0.91 and 1.35 kg/m2 per 10-allele increment, respectively) and subsequently declined in late adulthood. For women, each 10-allele increment in the GRS was associated with an average BMI gain of 0.54 kg/m2 in early adulthood, whereas no statistically significant association was found for BMI change in middle or late adulthood or for BMI change in any life period in men. Our findings indicate that genetic predisposition exerts a persistent effect on adiposity throughout adult life and increases early adulthood weight gain in women.

Abstract Objective Both stunting and overweight are present in children across China. Seemingly paradoxical, these two conditions can also coexist in the same child. The aim was to examine the associations between dietary food/nutrient intake and plasma lipid profiles related to stunting and overweight status. Design The 2002 China National Nutrition and Health Survey was a family-based nationally representative cross-sectional study. Setting Thirty-one provinces, autonomous regions and municipalities. Subjects The study included 13 770 children aged 2–17 years. The sample size for the four exposure groups was 10 814 for children of normal height and weight, 2128 for stunted, 729 for overweight and 99 for stunted overweight. Results Compared with children of normal height and weight, stunted and stunted overweight children consumed more high-energy-dense foods with a lower dietary diversity score, less protein, polyunsaturated fat and Fe, and a higher molar ratio of phytate to Ca. On the contrary, overweight children tended to consume significantly less carbohydrates and more protein and fat. Overall, stunted overweight children consumed lower amounts of vegetables, fruit, white meat (poultry and fish) and more milk. The OR for prevalent dyslipidaemia were 1·32 (95 % CI 1·13, 1·53), 1·76 (95 % CI 1·48, 2·09) and 2·59 (95 % CI 1·65, 4·07) among stunted, overweight and stunted overweight children, respectively, compared with children of normal height and weight. In addition, being overweight was significantly associated with high glucose concentrations, whereas stunting was significantly associated with having anaemia. Conclusions Limited dietary diversity and intake of high-energy-dense foods were notably observed among stunted overweight children. Furthermore, being stunted and/or overweight was associated with an increased likelihood of unhealthy lipid profiles.

Abstract Genome‐wide scans of nucleotide variation in human subjects are providing an increasing number of replicated associations with complex disease traits. Most of the variants detected have small effects and, collectively, they account for a small fraction of the total genetic variance. Very large sample sizes are required to identify and validate findings. In this situation, even small sources of systematic or random error can cause spurious results or obscure real effects. The need for careful attention to data quality has been appreciated for some time in this field, and a number of strategies for quality control and quality assurance (QC/QA) have been developed. Here we extend these methods and describe a system of QC/QA for genotypic data in genome‐wide association studies (GWAS). This system includes some new approaches that (1) combine analysis of allelic probe intensities and called genotypes to distinguish gender misidentification from sex chromosome aberrations, (2) detect autosomal chromosome aberrations that may affect genotype calling accuracy, (3) infer DNA sample quality from relatedness and allelic intensities, (4) use duplicate concordance to infer SNP quality, (5) detect genotyping artifacts from dependence of Hardy‐Weinberg equilibrium test P ‐values on allelic frequency, and (6) demonstrate sensitivity of principal components analysis to SNP selection. The methods are illustrated with examples from the “Gene Environment Association Studies” (GENEVA) program. The results suggest several recommendations for QC/QA in the design and execution of GWAS. Genet. Epidemiol . 34: 591–602, 2010. © 2010 Wiley‐Liss, Inc.