Factors Associated with Longitudinal Changes in Mammographic Density in a Multiethnic Breast Screening Cohort of Postmenopausal Women.

Background: Breast density is an important risk factor for breast cancer and is known to be associated with characteristics such as age, race, and hormone levels; however, it is unclear what factors contribute to changes in breast density in postmenopausal women over time. Understanding factors associated with density changes may enable a better understanding of breast cancer risk and facilitate potential strategies for prevention. Methods: This study investigated potential associations between personal factors and changes in mammographic density in a cohort of 3,392 postmenopausal women with no personal history of breast cancer between 2011 and 2017. Self-reported information on demographics, breast and reproductive history, and lifestyle factors, including body mass index (BMI), alcohol intake, smoking, and physical activity, was collected by an electronic intake form, and breast imaging reporting and database system (BI-RADS) mammographic density scores were obtained from electronic medical records. Factors associated with a longitudinal increase or decrease in mammographic density were identified using Fisher's exact test and multivariate conditional logistic regression. Results: 7.9% of women exhibited a longitudinal decrease in mammographic density, 6.7% exhibited an increase, and 85.4% exhibited no change. Longitudinal changes in mammographic density were correlated with age, race/ethnicity, and age at menopause in the univariate analysis. In the multivariate analysis, Asian women were more likely to exhibit a longitudinal increase in mammographic density and less likely to exhibit a decrease compared to White women. On the other hand, obese women were less likely to exhibit an increase and more likely to exhibit a decrease compared to normal weight women. Women who underwent menopause at age 55 years or older were less likely to exhibit a decrease in mammographic density compared to women who underwent menopause at a younger age. Besides obesity, lifestyle factors (alcohol intake, smoking, and physical activity) were not associated with longitudinal changes in mammographic density. Conclusions: The associations we observed between Asian race/obesity and longitudinal changes in BI-RADS density in postmenopausal women are paradoxical in that breast cancer risk is lower in Asian women and higher in obese women. However, the association between later age at menopause and a decreased likelihood of decreasing in BI-RADS density over time is consistent with later age at menopause being a risk factor for breast cancer and suggests a potential relationship between greater cumulative lifetime estrogen exposure and relative stability in breast density after menopause. Our findings support the complexity of the relationships between breast density, BMI, hormone exposure, and breast cancer risk.

Nonsuicidal Self-Injury: A Nurse-Led Quality Improvement Project to Address Self-Harm.

Nonsuicidal self-injury (NSSI) behaviors, such as cutting, scratching, or more severe injuries, are frequently comorbid with neurodevelopmental, intellectual, trauma, personality, and major depressive disorders, complicating treatment and placing added care burdens on hospital nursing staff and advanced practice nurses. Although specific psychopharmacological treatment guidelines and approved medications for NSSI are non-existent, patients are treated with medications approved for co-morbid disorders and behavioral interventions targeting intrapersonal (poor emotional self-regulation) and interpersonal (communication of distress) functions. The current article describes a nurse-led quality improvement project, using the Plan-Do-Study-Act cycle, in a case example. Outcomes include improved staff competencies and policies, yet we remain challenged in implementing planned actions that add additional time burdens to already stretched care providers. [Journal of Psychosocial Nursing and Mental Health Services, 60(3), 7-10.].

From surviving to thriving: factors associated with complete mental health among childhood sexual abuse survivors.

BACKGROUND: Despite many negative health and social consequences of childhood sexual abuse (CSA), some of those with a history of adversity manage to thrive in adulthood and achieve complete mental health (CMH). CMH is defined as the absence of mental illness in combination with almost daily happiness and/or life satisfaction, as well as high levels of social and psychological well-being. The objectives of this study were (1) to identify the pathways linking CSA to CMH in adulthood and (2) to estimate the magnitude of risk and protective factors associated with CMH among those exposed to CSA. METHODS: A sample of 17,014 respondents aged 20 years and older from the 2012 Canadian Community Health Survey-Mental Health was selected including 651 with a history of CSA. Path analysis was used to estimate indirect and direct pathways between CSA, a priori hypothesized risk and protective factors, and CMH. Multivariable logistic regression was then used to investigate the magnitude of effects of the same risk and protective factors on CMH among CSA survivors. RESULTS: After controlling for age, sex, race, education, and marital status, the association between CSA and CMH was mediated by lifetime depression, anxiety, substance abuse, chronic pain, and having a confidant. The strongest predictor of past-year CMH among those with a history of CSA was lifetime depression (OR 0.12, 95% CI 0.07-0.20) followed by having a confidant (OR 6.78, 95% CI 1.89-24.38). The odds of CMH was decreased by over three times among those with a history of substance misuse, and halved for those with lifetime anxiety and/or presence of pain. CONCLUSIONS: These findings suggest that CMH among survivors of CSA is related to social and emotional factors such as social support and lifetime history of mental health conditions. Future research should investigate the effectiveness of multilevel interventions for promoting recovery among CSA survivors.

Sitting, physical activity, and serum oestrogen metabolism in postmenopausal women: the Women's Health Initiative Observational Study.

BACKGROUND: Prolonged sitting and lower levels of physical activity have been associated with increased levels of parent oestrogens (oestrone and oestradiol), the key hormones in female cancers, in postmenopausal women. However, it is unknown whether sitting and physical activity are associated with circulating oestrogen metabolite levels. METHODS: Among 1804 postmenopausal women enrolled in the Women's Health Initiative Observational Study, 15 serum oestrogens/oestrogen metabolites were quantified using liquid chromatography-tandem mass spectrometry. Physical activity and sitting were self-reported via questionnaire. Using baseline, cross-sectional data, geometric means (GM) of oestrogens/oestrogen metabolites (pmol l-1) were estimated using inverse probability weighted linear regression, adjusting for potential confounders and stratified on menopausal hormone therapy (MHT) use. RESULTS: Longer time spent sitting (⩾10 vs ⩽5h per day) was associated with higher levels of unconjugated oestrone, independent of moderate- to vigorous-intensity physical activity and body mass index, among both never/former (GM=70.6 vs 57.7) and current MHT users (GM=242 vs 179) (P-trend ⩽0.03). Among never/former MHT users, sitting (⩾10 vs ⩽5h per day) was positively associated with 2-methoxyestradiol (GM=16.4 vs 14.4) and 4-methoxyestradiol (GM=2.36 vs 1.98) (P-trend ⩽0.04), independent of parent oestrogens. Inverse associations between moderate- to vigorous-intensity physical activity (⩾15 vs 0 metabolic equivalent task-hours per week) and parent oestrogens were found as expected. After adjustment for parent oestrogens, physical activity was not associated with oestrogen metabolites. CONCLUSIONS: Our data suggest that prolonged sitting and lower moderate- to vigorous-intensity physical activity are associated with higher levels of postmenopausal oestrogens/oestrogen metabolites, the oestrogen metabolism patterns that have previously been associated with higher endometrial and breast cancer risk.

Updated survival analysis of two sequential prospective trials of R-MACLO-IVAM followed by maintenance for newly diagnosed mantle cell lymphoma.

A phase II trial of R-MACLO-IVAM followed by thalidomide maintenance for mantle cell lymphoma (MCL) demonstrated promising progression-free survival (PFS) and overall survival (OS) rates. Thalidomide maintenance was associated with significant toxicity and was subsequently modified to rituximab maintenance. Herein, we present updated results and follow-up. Two sequential phase II trials included chemotherapy-naïve patients with MCL up to 75 years old. Four cycles of R-MACLO-IVAM chemotherapy were delivered as previously described. Patients who achieved complete responses (CR) were eligible for thalidomide or rituximab maintenance therapy. Among 36 patients enrolled, the MCL International Prognostic Index (MIPI) was low in 53%, intermediate in 36% and high in 11%. Thirty-five patients completed at least 2 cycles of chemotherapy; 34 (94%) achieved a CR. After a median follow-up of 74.4 months, the 5-year PFS was 51% (95% CI 33-68%) and the 5-year OS was 85% (95% CI 73-97%). Two deaths occurred during the chemotherapy phase due to disease progression and neutropenic sepsis, respectively. One patient developed secondary acute myeloid leukemia after 7 years. R-MACLO-IVAM chemotherapy is effective for patients with newly diagnosed MCL.

Heterogeneity in familial clustering of metabolic syndrome components in the multiethnic GENNID study.

OBJECTIVE: Metabolic syndrome (MetS) is defined by clustering of cardiometabolic components, which may be present in different combinations. The authors evaluated clustering in individuals and extended families within and across ancestry groups. METHODS: The prevalence of different combinations of MetS components (high fasting glucose, low high-density lipoprotein cholesterol, high triglycerides, high blood pressure, and abdominal obesity) was estimated in 1651 individuals (340 families) self-reporting as European American (EA), Hispanic/Mexican American (MA), African American (AA), and Japanese American (JA). Odds ratios were estimated using logistic regression with generalized estimating equations comparing individual MetS components, number, and combinations of components for each ancestry group versus EA. RESULTS: Clustering of all five components (Combination #16) was more prevalent in EA (29.9%) and MA (25.2%) individuals than in AA (18.7%) and JA (15.5%) individuals. Compared with EA individuals, AA individuals were 64% and 66% less likely to have high triglycerides and low high-density lipoprotein cholesterol, whereas JA individuals were 85% and 56% less likely to have abdominal obesity and high blood pressure, respectively. Compared with EA individuals, the odds of having two, four, or five components were at least 77% lower in JA individuals, whereas the odds of having three, four, or five components were at least 3.79 times greater in MA individuals. CONCLUSIONS: Understanding heterogeneity in MetS clustering may identify factors important in reducing health disparities.

Urinary glyphosate and AMPA levels in a cross-sectional study of postmenopausal women: Associations with organic eating behavior and dietary intake.

Animal and epidemiologic studies suggest that there may be adverse health effects from exposure to glyphosate, the most highly used pesticide in the world, and its metabolite aminomethylphosphonic acid (AMPA). Meanwhile, consumption of organic foods (presumably grown free of chemical pesticides) has increased in recent years. However, there have been limited biomonitoring studies assessing the levels of human glyphosate and AMPA exposure in the United States. We examined urinary levels of glyphosate and AMPA in the context of organic eating behavior in a cohort of healthy postmenopausal women residing in Southern California and evaluated associations with demographics, dietary intake, and other lifestyle factors. 338 women provided two first-morning urine samples and at least one paired 24-h dietary recall reporting the previous day's dietary intake. Urinary glyphosate and AMPA were measured using LC-MS/MS. Participants reported on demographic and lifestyle factors via questionnaires. Potential associations were examined between these factors and urinary glyphosate and AMPA concentrations. Glyphosate was detected in 89.9% of urine samples and AMPA in 67.2%. 37.9% of study participants reported often or always eating organic food, 30.2% sometimes, and 32.0% seldom or never. Frequency of organic food consumption was associated with several demographic and lifestyle factors. Frequent organic eaters had significantly lower urinary glyphosate and AMPA levels, but not after adjustment for covariates. Grain consumption was significantly associated with higher urinary glyphosate levels, even among women who reported often or always eating organic grains. Soy protein and alcohol consumption as well as high frequency of eating fast food were associated with higher urinary AMPA levels. In conclusion, in the largest study to date examining paired dietary recall data and measurements of first-void urinary glyphosate and AMPA, the vast majority of subjects sampled had detectable levels, and significant dietary sources in the American diet were identified.

Validation Study on Risk-Reduction Activities after Exposure to a Personalized Breast Cancer Risk-Assessment Education Tool in High-Risk Women in the WISDOM Study.

We performed a 318-participant validation study of an individualized risk assessment tool in women identified as having high- or highest-risk of breast cancer in the personalized arm of the Women Informed to Screen Depending on Measures of risk (WISDOM) trial. Per protocol, these women were educated about their risk and risk reducing options using the Breast Health Decisions (BHD) tool, which uses patient-friendly visuals and 8th grade reading level language to convey risk and prevention options. Prior to exposure to the educational tool, 4.7% of women were already taking endocrine risk reduction, 38.7% were reducing alcohol intake, and 62.6% were exercising. Three months after initial use of BHD, 8.4% of women who considered endocrine risk reduction, 33% of women who considered alcohol reduction, and 46% of women who considered exercise pursued the risk-reducing activities. Unlike lifestyle interventions which are under the control of the patient, additional barriers at the level of the healthcare provider may be impeding the targeted use of endocrine risk reduction medications in women with elevated breast cancer risk.

Sex differences in suicides among children and youth: the potential impact of misclassification.

OBJECTIVES: We examined whether established sex differences in suicide rates persist when adjustments are made for potential misclassification of deaths in children and youth. METHODS: This is a retrospective, descriptive study of 1294 suicides, 961 accidental and 254 undetermined deaths occurring between January 1, 2000 and December 31, 2007, among persons aged 10 to 25 years in Ontario, Canada. Using data from Coroner's records, causes of death were reclassified based on two different misclassification criteria. Actual and reclassified suicide rates were calculated by sex and age group (with 95% confidence intervals) and by year of death. RESULTS: Males aged 16-25 years accounted for the majority of suicides (68.9%). Asphyxia was the most common cause of suicide in both sexes. While suicides by shooting were almost exclusive to males, suicides due to alcohol/drug toxicity were significantly higher in females. Both before and after reclassification of suicide deaths, sex differences in suicide rates emerged in the 16-25 years age group. In each study year, both actual and reclassified suicide rates were higher in males than females. CONCLUSIONS: Sex differences in suicide rates emerging in adolescence are unlikely to be due to misclassification. Other proposed explanations for sex differences in youth suicide rates should be investigated further.

Development of the Successful Transitions Assessment Tool (STAT) for Crossover Youth (COY): Youth voice and expert feedback with a Delphi approach.

BACKGROUND: Crossover youth (COY) are involved with child welfare and/or the justice system and experience multifaceted challenges in their transition into adulthood. A literature review identified eight critical indicators of successful transitions for COY and the absence of a validated comprehensive assessment that is youth informed and culturally sensitive. OBJECTIVE: To develop a Successful Transitions Assessment Tool (STAT) that is informed by research, Critical Race Theory, and subject matter experts. PARTICIPANTS AND SETTING: Field experts were approached to review the initial STAT, developed from literature findings, using the Delphi approach; 13 experts completed the first round and nine completed the second round. Child welfare youth participated in a focus group and youth justice youth completed interviews; 10 youth aged 16 to 24 provided feedback. METHODS: A two-round Delphi study with experts used a survey link. The focus groups and interviews with youth experts were conducted virtually. Expert rankings in the examined areas were aggregated and qualitative data were thematically analyzed. RESULTS: Responding experts in both rounds of the Delphi process ranked the STAT highly, achieving scores of 16.8 and 16.4 of 20 possible points, respectively (consensus >80 %). No additional rounds were deemed necessary. All suggested tool clarifications were incorporated. Additional questions were added based on suggestions relevant to the eight critical domains. CONCLUSIONS: This innovative study created a single, brief, yet comprehensive assessment tool of eight key domains for successful transitions out of care settings, informed by experts through the Delphi approach and youth themselves.

Association of mammographic density with blood DNA methylation.

BACKGROUND: Altered DNA methylation may be an intermediate phenotype between breast cancer risk factors and disease. Mammographic density is a strong risk factor for breast cancer. However, no studies to date have identified an epigenetic signature of mammographic density. We performed an epigenome-wide association study of mammographic density. METHODS: White blood cell DNA methylation was measured for 385 postmenopausal women using the Illumina Infinium MethylationEPIC BeadChip array. Differential methylation was assessed using genome-wide, probe-level, and regional analyses. We implemented a resampling-based approach to improve the stability of our findings. RESULTS: On average, women with elevated mammographic density exhibited DNA hypermethylation within CpG islands and gene promoters compared to women with lower mammographic density. We identified 250 CpG sites for which DNA methylation was significantly associated with mammographic density. The top sites were located within genes associated with cancer, including HDLBP, TGFB2, CCT4, and PAX8, and were more likely to be located in regulatory regions of the genome. We also identified differential DNA methylation in 37 regions, including within the promoters of PAX8 and PF4, a gene involved in the regulation of angiogenesis. Overall, our results paint a picture of epigenetic dysregulation associated with mammographic density. CONCLUSION: Mammographic density is associated with differential DNA methylation throughout the genome, including within genes associated with cancer. Our results suggest the potential involvement of several genes in the biological mechanisms behind differences in breast density between women. Further studies are warranted to explore these potential mechanisms and potential links to breast cancer risk.

Association of Glyphosate Exposure with Blood DNA Methylation in a Cross-Sectional Study of Postmenopausal Women.

BACKGROUND: Glyphosate is the most commonly used herbicide in the world and is purported to have a variety of health effects, including endocrine disruption and an elevated risk of several types of cancer. Blood DNA methylation has been shown to be associated with many other environmental exposures, but to our knowledge, no studies to date have examined the association between blood DNA methylation and glyphosate exposure. OBJECTIVE: We conducted an epigenome-wide association study to identify DNA methylation loci associated with urinary glyphosate and its metabolite aminomethylphosphonic acid (AMPA) levels. Secondary goals were to determine the association of epigenetic age acceleration with glyphosate and AMPA and develop blood DNA methylation indices to predict urinary glyphosate and AMPA levels. METHODS: For 392 postmenopausal women, white blood cell DNA methylation was measured using the Illumina Infinium MethylationEPIC BeadChip array. Glyphosate and AMPA were measured in two urine samples per participant using liquid chromatography-tandem mass spectrometry. Methylation differences at the probe and regional level associated with glyphosate and AMPA levels were assessed using a resampling-based approach. Probes and regions that had an false discovery rate q<0.1 in ≥90% of 1,000 subsamples of the study population were considered differentially methylated. Differentially methylated sites from the probe-specific analysis were combined into a methylation index. Epigenetic age acceleration from three epigenetic clocks and an epigenetic measure of pace of aging were examined for associations with glyphosate and AMPA. RESULTS: We identified 24 CpG sites whose methylation level was associated with urinary glyphosate concentration and two associated with AMPA. Four regions, within the promoters of the MSH4, KCNA6, ABAT, and NDUFAF2/ERCC8 genes, were associated with glyphosate levels, along with an association between ESR1 promoter hypomethylation and AMPA. The methylation index accurately predicted glyphosate levels in an internal validation cohort. AMPA, but not glyphosate, was associated with greater epigenetic age acceleration. DISCUSSION: Glyphosate and AMPA exposure were associated with DNA methylation differences that could promote the development of cancer and other diseases. Further studies are warranted to replicate our results, determine the functional impact of glyphosate- and AMPA-associated differential DNA methylation, and further explore whether DNA methylation could serve as a biomarker of glyphosate exposure. https://doi.org/10.1289/EHP10174.

Factors Associated with Women's Unwillingness to Decrease Alcohol Intake to Decrease Breast Cancer Risk.

OBJECTIVE: Alcohol intake is a known risk factor for breast cancer. National organizations recommend that women consume no more than one serving of alcohol per day, if at all; however, many women exceed this recommendation, and some are unwilling to decrease consumption. Our study sought to identify factors associated with women's unwillingness to decrease their alcohol intake to decrease their breast cancer risk. METHODS: 942 women in a screening mammography cohort were asked questions about their demographics, personal and family health history, lifestyle factors, and willingness/unwillingness to decrease alcohol intake to decrease their breast cancer risk. Univariate and multivariate analyzes of their responses were performed. RESULTS: 13.2% of women in our cohort indicated they were unwilling to decrease their alcohol intake to reduce their breast cancer risk. After adjusting for potential confounders, women who were 60 years and older were more than twice as unwilling to decrease their alcohol intake compared to their younger counterparts (P = .0002). Women who had an annual household income of more than $200,000 were 1.75 times more unwilling to decrease their alcohol intake compared to their less affluent counterparts (P = .033). Unwillingness was not significantly associated with race/ethnicity, education, having a first-degree family member with cancer, health perception, breast cancer risk perception, or BMI. CONCLUSIONS: Levels of unwillingness to decrease alcohol intake differed by age and household income. An opportunity is present to potentially decrease breast cancer risk in the community by educating women, especially older and more affluent women, about alcohol as a risk factor for breast cancer and the importance of limiting one's alcohol intake.

Genome-wide association analysis of metabolic syndrome quantitative traits in the GENNID multiethnic family study.

BACKGROUND: To identify genetic associations of quantitative metabolic syndrome (MetS) traits and characterize heterogeneity across ethnic groups. METHODS: Data was collected from GENetics of Noninsulin dependent Diabetes Mellitus (GENNID), a multiethnic resource of Type 2 diabetic families and included 1520 subjects in 259 African-American, European-American, Japanese-Americans, and Mexican-American families. We focused on eight MetS traits: weight, waist circumference, systolic and diastolic blood pressure, high-density lipoprotein, triglycerides, fasting glucose, and insulin. Using genotyped and imputed data from Illumina's Multiethnic array, we conducted genome-wide association analyses with linear mixed models for all ethnicities, except for the smaller Japanese-American group, where we used additive genetic models with gene-dropping. RESULTS: Findings included ethnic-specific genetic associations and heterogeneity across ethnicities. Most significant associations were outside our candidate linkage regions and were coincident within a gene or intergenic region, with two exceptions in European-American families: (a) within previously identified linkage region on chromosome 2, two significant GLI2-TFCP2L1 associations with weight, and (b) one chromosome 11 variant near CADM1-LINC00900 with pleiotropic blood pressure effects. CONCLUSIONS: This multiethnic family study found genetic heterogeneity and coincident associations (with one case of pleiotropy), highlighting the importance of including diverse populations in genetic research and illustrating the complex genetic architecture underlying MetS.

Caring Dads intervention for fathers who have perpetrated abuse within their families: Quasi-experimental evaluation of child protection outcomes over two years.

BACKGROUND: In Canada, two of the most common forms of maltreatment substantiated by child protective services are child exposure to domestic violence and child physical abuse. Fathers are identified as the parent responsible for a substantial proportion of this maltreatment. OBJECTIVE: This study examined whether providing a group-based intervention program for fathers was associated with greater engagement of fathers in child protection case management and with lower rates of subsequent father-perpetrated abuse. PARTICIPANTS: A quasi-experimental design compared child protection outcomes in families in which fathers were referred to an intervention program (Caring Dads) and either completed the group (n = 85) or remained on a waitlist for future service (n = 100). METHODS: Data were collected from a retrospective review of administrative files over two years, starting from the time of referral to Caring Dads. RESULTS: Initial comparisons found no significant differences in intervention and comparison group fathers in demographic characteristics, child protection concerns, and all but one area of risk and needs. Completing intervention, as compared to being waitlisted, was associated with a greater number of contacts between child protection workers and fathers over two years (M = 30.3 vs. M = 16.7), a difference that was significant and large in size (d = 0.81) and with lower rates of verified re-referral due to fathers' maltreatment (20.5% vs. 36.0%), a difference that was significant and between small and medium in size (V = 0.17). CONCLUSIONS: Current results suggest that there may be significant benefits of involving fathers in child protection-linked intervention.

Development and pilot of an online, personalized risk assessment tool for a breast cancer precision medicine trial.

Breast cancer risk reduction has been validated by large-scale clinical trials, but uptake remains low. A risk communication tool could provide personalized risk-reduction information for high-risk women. A low-literacy-friendly, visual, and personalized tool was designed as part of the Women Informed to Screen Depending On Measures of risk (WISDOM) study. The tool integrates genetic, polygenic, and lifestyle factors, and quantifies the risk-reduction from undertaking medication and lifestyle interventions. The development and design process utilized feedback from clinicians, decision-making scientists, software engineers, and patient advocates. We piloted the tool with 17 study participants, collecting quantitative and qualitative feedback. Overall, participants felt they better understood their personalized breast cancer risk, were motivated to reduce their risk, and considered lifestyle interventions. The tool will be used to evaluate whether risk-based screening leads to more informed decisions and higher uptake of risk-reduction interventions among those most likely to benefit.

Evidence for gene-smoking interactions for hearing loss and deafness in Japanese American families.

BACKGROUND: This study investigated the relationship between smoking and hearing loss and deafness (HLD) and whether the relationship is modified by genetic variation. Data for these analyses was from the subset of Japanese American families collected as part of the American Diabetes Association Genetics of Non-insulin Dependent Diabetes Mellitus study. Logistic regression with generalized estimating equations assessed the relationship between HLD and smoking. Nonparametric linkage analysis identified genetic regions harboring HLD susceptibility genes and ordered subset analysis was used to identify regions showing evidence for gene-smoking interactions. Genetic variants within these candidate regions were then each tested for interaction with smoking using logistic regression models. RESULTS: After adjusting for age, sex, diabetes status and smoking duration, for each pack of cigarettes smoked per day, risk of HLD increased 4.58 times (odds ratio (OR) = 4.58; 95% Confidence Interval (CI): (1.40,15.03)), and ever smokers were over 5 times more likely than nonsmokers to report HLD (OR = 5.22; 95% CI: (1.24, 22.03)). Suggestive evidence for linkage for HLD was observed in multiple genomic regions (Chromosomes 5p15, 8p23 and 17q21), and additional suggestive regions were identified when considering interactions with smoking status (Chromosomes 7p21, 11q23, 12q32, 15q26, and 20q13) and packs-per-day (Chromosome 8q21). CONCLUSIONS: To our knowledge this was the first report of possible gene-by-smoking interactions in HLD using family data. Additional work, including independent replication, is needed to understand the basis of these findings. HLD are important public health issues and understanding the contributions of genetic and environmental factors may inform public health messages and policies.

Rationale, Study Design, and Cohort Characteristics for the Markers for Environmental Exposures (MEE) Study.

Environmental factors have been linked to many diseases and health conditions, but reliable assessment of environmental exposures is challenging. Developing biomarkers of environmental exposures, rather than relying on self-report, will improve our ability to assess the association of such exposures with disease. Epigenetic markers, most notably DNA methylation, have been identified for some environmental exposures, but identification of markers for additional exposures is still needed. The rationale behind the Markers for Environmental Exposures (MEE) Study was to (1) identify biomarkers, especially epigenetic markers, of environmental exposures, such as pesticides, air/food/water contaminants, and industrial chemicals that are commonly encountered in the general population; and (2) support the study of potential relationships between environmental exposures and health and health-related factors. The MEE Study is a cross-sectional study with potential for record linkage and follow-up. The well-characterized cohort of 400 postmenopausal women has generated a repository of biospecimens, including blood, urine, and saliva samples. Paired data include an environmental exposures questionnaire, a breast health questionnaire, dietary recalls, and a food frequency questionnaire. This work describes the rationale, study design, and cohort characteristics of the MEE Study. In addition to our primary research goals, we hope that the data and biorepository generated by this study will serve as a resource for future studies and collaboration.