Toxic Fashion: Evaluation of Chemicals in Clothing and Recommendations for the Amended TSCA

The fashion industry is one of the largest polluting industries in the world and its rising environmental impact is partly due to the dominance of fast fashion business models. Recently researchers and advocates have found that large amounts of chemicals are used by textile manufacturers to produce clothing, some proven to be toxic in other applications. The risk of exposure to these classes of chemicals is a growing concern. With the risk management model, a qualitative examination was conducted on existing policies in the United States that regulate chemicals used by the industry. Despite some policy changes regarding chemical exposure in clothing, the burden of proof to determine if a chemical poses a health or environmental risk remains on the EPA. Real reform should shift the burden of proof onto chemical manufacturers, require chemicals to have safety information to enter and remain in the market, shift away from case-by-case hazard assessments, and provide a label that informs consumers of more sustainable products. This review contains recommendations to address gaps in the regulation of chemical in clothing that may prevent further injury to human health and environmental harm from the unreasonable risk. The findings of this study can guide policymakers to develop and implement stronger protections against chemicals that pose serious health risks

Methods and Applications for Collection, Contamination Estimation, and Linkage Analysis of Large-scale Human Genotype Data

In recent decades statistical genetics has contributed substantially to our knowledge of human health and biology. This research has many facets: from collecting data, to cleaning, to analyzing. As the scope of the scientific questions considered and the scale of the data continue to increase, these bring additional challenges to every step of the process. In this dissertation, I describe novel approaches for each of these three steps, focused on the specific problems of participant recruitment and engagement, DNA contamination estimation, and linkage analysis with large data sets. In Chapter 1, we introduce the subject of this dissertation and how it fits with other developments in the generation, analysis and interpretation of human genetic data. In Chapter 2, we describe Genes for Good, a new platform for engaging a large, diverse participant pool in genetics research through social media. We developed a Facebook application where participants can sign up, take surveys related to their health, and easily invite interested friends to join. After completing a required number of these surveys, we send participants a spit kit to collect their DNA. In a statistical analysis of 27,000 individuals from all over the United States genotyped in our study, we replicated health trends and genetic associations, showing the utility of our approach and accuracy of self-reported phenotypes we collected. In Chapter 3, we introduce VICES (Verify Intensity Contamination from Estimated Sources), a statistical method for joint estimation of DNA contamination and its sources in genotyping arrays. Genotyping array data are typically highly accurate but sensitive to mixing of DNA samples from multiple individuals before or during genotyping. VICES jointly estimates the total proportion of contaminating DNA and identify which samples it came from by regressing deviations in probe intensity for a sample being tested on the genotypes of another sample. Through analysis of array intensity and genotype data from HapMap samples and the Michigan Genomics Initiative, we show that our method reliably estimates contamination more accurately than existing methods and implicates problematic steps to guide process improvements. In Chapter 4, we propose Population Linkage, a novel approach to perform linkage analysis on genome-wide genotype data from tens of thousands of arbitrarily related individuals. Our method estimates kinship and identical-by-descent segments (IBD) between all pairs of individuals, fits them as variance components using Haseman-Elston regression, and tests for linkage. This chapter addresses how to iteratively assess evidence of linkage in large numbers of individuals across the genome, reduce repeated calculations, model relationships without pedigrees, and determine segregation of genomic segments between relatives using single-nucleotide polymorphism (SNP) genotypes. After applying our method to 6,602 individuals from the National Institute on Aging (NIA) SardiNIA study and 69,716 individuals from the Trøndelag Health Study (HUNT), we show that most of our signals overlapped with known GWAS loci and many of these could explain a greater proportion of the trait variance than the top GWAS SNP. In Chapter 5, we discuss the impact and future directions for the work presented in this dissertation. We have proposed novel approaches for gathering useful research data, checking its quality, and detecting associations in the investigation of human genetics. Also, this work serves as an example for thinking about the process of human genetic discovery from beginning to end as a whole and understanding the role of each part.PHDBiostatisticsUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/162998/1/gzajac_1.pd

Exploring the Validity of the Continuum of Resistance Model for Discriminating Early from Late and Non-uptake of Colorectal Cancer Screening: Implications for the Design of Invitation and Reminder Letters.

This item is under embargo for a period of 12 months from the date of publication, in accordance with the publisher's policy.Background The continuum of resistance model contends that respondents lie at one end of a continuum and non-respondents at the other with respect to factors demonstrated to impact on screening participation. Purpose The aim of this study was to explore the validity of this model for the prediction of participation in colorectal cancer screening. Method People aged 50 to 74 years were asked to complete a survey (n = 1,250). Eligible respondents (n = 376, 30 %) were invited to complete a faecal occult blood test (FOBT). The cutoff period for the determination of participation rates was 12 weeks, with a reminder sent at 6 weeks. Results FOBTs were returned by n = 196 people (132 within 6 weeks, 64 following a reminder). Participation was generally influenced by the same variables in both the first 6 weeks and the second 6 weeks, consistent with the continuum of resistance model. These variables were having known someone with bowel cancer and the social cognitive factor, perceptions of barriers to screening. There is a suggestion, however, that other factors may be differentially associated with early, late and non-participants. Conclusion Participation in screening appears somewhat consistent with the continuum of resistance model in that early and late participants respond to some of the same factors. This suggests that the same messages are relevant to early, late and non-screeners, but further consideration of what other factors may be influencing discrete stages of readiness to participate is necessary.This work was supported by a National Health and Medical Research Council Grant number 324717

A randomised controlled trial of personalised decision support delivered via the internet for bowel cancer screening with a faecal occult blood test: the effects of tailoring of messages according to social cognitive variables on participation

BACKGROUND: In Australia, bowel cancer screening participation using faecal occult blood testing (FOBT) is low. Decision support tailored to psychological predictors of participation may increase screening. The study compared tailored computerised decision support to non-tailored computer or paper information. The primary outcome was FOBT return within 12 weeks. Additional analyses were conducted on movement in decision to screen and change on psychological variables. METHODS: A parallel, randomised controlled, trial invited 25,511 people aged 50-74 years to complete an eligibility questionnaire. Eligible respondents (n = 3,408) were assigned to Tailored Personalised Decision Support (TPDS), Non-Tailored PDS (NTPDS), or Control (CG) (intention-to-treat, ITT sample). TPDS and NTPDS groups completed an on-line baseline survey (BS) and accessed generic information. The TPDS group additionally received a tailored intervention. CG participants completed a paper BS only. Those completing the BS (n = 2270) were mailed an FOBT and requested to complete an endpoint survey (ES) that re-measured BS variables (per-protocol, PP sample). RESULTS: FOBT return: In the ITT sample, there was no significant difference between any group (χ (2)(2) = 2.57, p = .26; TPDS, 32.5%; NTPDS, 33%; and CG, 34.5%). In the PP sample, FOBT return in the internet groups was significantly higher than the paper group (χ (2)(2) = 17.01, p < .001; TPDS, 80%; NTPDS, 83%; and CG, 74%). FOBT completion by TPDS and NTPDS did not differ (χ (2)(1) = 2.23, p = .13). Age was positively associated with kit return. Decision to screen: 2227/2270 of the PP sample provided complete BS data. Participants not wanting to screen at baseline (1083/2227) and allocated to TPDS and NTPDS were significantly more likely to decide to screen and return an FOBT than those assigned to the CG. FOBT return by TPDS and NTPDS did not differ from one another (OR = 1.16, p = .42). Change on psychosocial predictors: Analysis of change indicated that salience and coherence of screening and self-efficacy were improved and faecal aversion decreased by tailored messaging. CONCLUSIONS: Online information resources may have a role in encouraging internet-enabled people who are uncommitted to screening to change their attitudes, perceptions and behaviour. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry ACTRN12610000095066.Carlene J Wilson, Ingrid HK Flight, Deborah Turnbull, Tess Gregory, Stephen R Cole, Graeme P Young, and Ian T Zaja

UBVRI Light Curves of 44 Type Ia Supernovae

We present UBVRI photometry of 44 type-Ia supernovae (SN Ia) observed from 1997 to 2001 as part of a continuing monitoring campaign at the Fred Lawrence Whipple Observatory of the Harvard-Smithsonian Center for Astrophysics. The data set comprises 2190 observations and is the largest homogeneously observed and reduced sample of SN Ia to date, nearly doubling the number of well-observed, nearby SN Ia with published multicolor CCD light curves. The large sample of U-band photometry is a unique addition, with important connections to SN Ia observed at high redshift. The decline rate of SN Ia U-band light curves correlates well with the decline rate in other bands, as does the U-B color at maximum light. However, the U-band peak magnitudes show an increased dispersion relative to other bands even after accounting for extinction and decline rate, amounting to an additional ~40% intrinsic scatter compared to B-band.Comment: 84 authors, 71 pages, 51 tables, 10 figures. Accepted for publication in the Astronomical Journal. Version with high-res figures and electronic data at http://astron.berkeley.edu/~saurabh/cfa2snIa

Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use.

Tobacco and alcohol use are leading causes of mortality that influence risk for many complex diseases and disorders1. They are heritable2,3 and etiologically related4,5 behaviors that have been resistant to gene discovery efforts6-11. In sample sizes up to 1.2 million individuals, we discovered 566 genetic variants in 406 loci associated with multiple stages of tobacco use (initiation, cessation, and heaviness) as well as alcohol use, with 150 loci evidencing pleiotropic association. Smoking phenotypes were positively genetically correlated with many health conditions, whereas alcohol use was negatively correlated with these conditions, such that increased genetic risk for alcohol use is associated with lower disease risk. We report evidence for the involvement of many systems in tobacco and alcohol use, including genes involved in nicotinic, dopaminergic, and glutamatergic neurotransmission. The results provide a solid starting point to evaluate the effects of these loci in model organisms and more precise substance use measures

Loss-of-Function Genomic Variants Highlight Potential Therapeutic Targets for Cardiovascular Disease

Pharmaceutical drugs targeting dyslipidemia and cardiovascular disease (CVD) may increase the risk of fatty liver disease and other metabolic disorders. To identify potential novel CVD drug targets without these adverse effects, we perform genome-wide analyses of participants in the HUNT Study in Norway (n = 69,479) to search for protein-altering variants with beneficial impact on quantitative blood traits related to cardiovascular disease, but without detrimental impact on liver function. We identify 76 (11 previously unreported) presumed causal protein-altering variants associated with one or more CVD- or liver-related blood traits. Nine of the variants are predicted to result in loss-of-function of the protein. This includes ZNF529:p.K405X, which is associated with decreased low-density-lipoprotein (LDL) cholesterol (P = 1.3 × 10−8) without being associated with liver enzymes or non-fasting blood glucose. Silencing of ZNF529 in human hepatoma cells results in upregulation of LDL receptor and increased LDL uptake in the cells. This suggests that inhibition of ZNF529 or its gene product should be prioritized as a novel candidate drug target for treating dyslipidemia and associated CVD

Resilin and chitinous cuticle form a composite structure for energy storage in jumping by froghopper insects

RIGHTS : This article is licensed under the BioMed Central licence at http://www.biomedcentral.com/about/license which is similar to the 'Creative Commons Attribution Licence'. In brief you may : copy, distribute, and display the work; make derivative works; or make commercial use of the work - under the following conditions: the original author must be given credit; for any reuse or distribution, it must be made clear to others what the license terms of this work are.Abstract Background Many insects jump by storing and releasing energy in elastic structures within their bodies. This allows them to release large amounts of energy in a very short time to jump at very high speeds. The fastest of the insect jumpers, the froghopper, uses a catapult-like elastic mechanism to achieve their jumping prowess in which energy, generated by the slow contraction of muscles, is released suddenly to power rapid and synchronous movements of the hind legs. How is this energy stored? Results The hind coxae of the froghopper are linked to the hinges of the ipsilateral hind wings by pleural arches, complex bow-shaped internal skeletal structures. They are built of chitinous cuticle and the rubber-like protein, resilin, which fluoresces bright blue when illuminated with ultra-violet light. The ventral and posterior end of this fluorescent region forms the thoracic part of the pivot with a hind coxa. No other structures in the thorax or hind legs show this blue fluorescence and it is not found in larvae which do not jump. Stimulating one trochanteral depressor muscle in a pattern that simulates its normal action, results in a distortion and forward movement of the posterior part of a pleural arch by 40 &#956;m, but in natural jumping, the movement is at least 100 &#956;m. Conclusion Calculations showed that the resilin itself could only store 1% to 2% of the energy required for jumping. The stiffer cuticular parts of the pleural arches could, however, easily meet all the energy storage needs. The composite structure therefore, combines the stiffness of the chitinous cuticle with the elasticity of resilin. Muscle contractions bend the chitinous cuticle with little deformation and therefore, store the energy needed for jumping, while the resilin rapidly returns its stored energy and thus restores the body to its original shape after a jump and allows repeated jumping

Protocol for population testing of an Internet-based Personalised Decision Support system for colorectal cancer screening

Extent: 8p.Background: Australia has a comparatively high incidence of colorectal (bowel) cancer; however, population screening uptake using faecal occult blood test (FOBT) remains low. This study will determine the impact on screening participation of a novel, Internet-based Personalised Decision Support (PDS) package. The PDS is designed to measure attitudes and cognitive concerns and provide people with individually tailored information, in real time, that will assist them with making a decision to screen. The hypothesis is that exposure to (tailored) PDS will result in greater participation in screening than participation following exposure to non-tailored PDS or resulting from the current non-tailored, paper-based approach. Methods/design: A randomised parallel trial comprising three arms will be conducted. Men and women aged 50-74 years (N = 3240) will be recruited. They must have access to the Internet; have not had an FOBT within the previous 12 months, or sigmoidoscopy or colonoscopy within the previous 5 years; have had no clinical diagnosis of bowel cancer. Groups 1 and 2 (PDS arms) will access a website and complete a baseline survey measuring decision-to-screen stage, attitudes and cognitive concerns and will receive immediate feedback; Group 1 will receive information 'tailored' to their responses in the baseline survey and group 2 will received 'non-tailored' bowel cancer information. Respondents in both groups will subsequently receive an FOBT kit. Group 3 (usual practice arm) will complete a paper-based version of the baseline survey and respondents will subsequently receive 'non-tailored' paper-based bowel cancer information with accompanying FOBT kit. Following despatch of FOBTs, all respondents will be requested to complete an endpoint survey. Main outcome measures are (1) completion of FOBT and (2) change in decision-to-screen stage. Secondary outcomes include satisfaction with decision and change in attitudinal scores from baseline to endpoint. Analyses will be performed using Chi-square tests, analysis of variance and log binomial generalized linear models as appropriate. Discussion: It is necessary to restrict participants to Internet users to provide an appropriately controlled evaluation of PDS. Once efficacy of the approach has been established, it will be important to evaluate effectiveness in the wider at-risk population, and to identify barriers to its implementation in those settings.Carlene J Wilson, Ingrid HK Flight, Ian T Zajac, Deborah Turnbull, Graeme P Young, Stephen R Cole, Tess Gregor