Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0011570 (depression)
 172,036 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Background: Women diagnosed as having a high risk for breast cancer (HR-BC) often seek different health behaviors (HBs) such as complementary and alternative medicine (CAM), diet, and exercise to improve their health and cancer outcome. Methods: Women already enrolled in a multimodality screening study for patients at HR-BC (gene mutation carrier or >20% cumulative lifetime risk) were given a questionnaire to evaluate their use of CAM therapies, diet, and exercise before and after a diagnosis of HR-BC. Patients were also asked to complete the Short-Form 36, State-Trait Anxiety Inventory, and Beck Depression Inventory. Results: A total of 134 (67%) subjects completed the survey from the original cohort. General characteristics included a median age of 46 years (range = 24-73 years), majority were White (91%), BRCA1/2 gene mutation carrier (49%), and prior diagnosis of breast and/or ovarian cancer (30%). Almost all of the patients reported a lifetime prevalence of any HB (97%) and CAM utilization (91%). Subjects also had a high lifetime utilization of exercise (83%), herbs and supplements(72%), and diet programs (58%). All of these HBs declined in utilization after diagnosis of HR-BC by as much as 30%. After diagnosis of a HR-BC, a personal history of breast and/or ovarian cancer was significantly correlated with increased use of CAM (odds ratio [OR] = 5.9, P < .01), herbs and supplements (OR = 4.3, P < .01), and diet program (OR = 4.4, P < .01) in multivariate analysis. Conclusions: HBs such as CAM, diet, and exercise are highly prevalent among women with HR-BC, and the utilization of HB decreases significantly after diagnosis of HR-BC.
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PMID:Utilization of Complementary Alternative Medicine, Diet, and Exercise Among Women at High Risk for Developing Breast Cancer. 3244 19

Mediation analysis has been a useful tool for investigating the effect of mediators that lie in the path from the independent variable to the outcome. With the increasing dimensionality of mediators such as in (epi)genomics studies, high-dimensional mediation model is needed. In this work, we focus on epigenetic studies with the goal to identify important DNA methylations that act as mediators between an exposure disease outcome. Specifically, we focus on gene-based high-dimensional mediation analysis implemented with kernel principal component analysis to capture potential nonlinear mediation effect. We first review the current high-dimensional mediation models and then propose two gene-based analytical approaches: gene-based high-dimensional mediation analysis based on linearity assumption between mediators and outcome (gHMA-L) and gene-based high-dimensional mediation analysis based on nonlinearity assumption (gHMA-NL). Since the underlying true mediation relationship is unknown in practice, we further propose an omnibus test of gene-based high-dimensional mediation analysis (gHMA-O) by combing gHMA-L and gHMA-NL. Extensive simulation studies show that gHMA-L performs better under the model linear assumption and gHMA-NL does better under the model nonlinear assumption, while gHMA-O is a more powerful and robust method by combining the two. We apply the proposed methods to two datasets to investigate genes whose methylation levels act as important mediators in the relationship: (1) between alcohol consumption and epithelial ovarian cancer risk using data from the Mayo Clinic Ovarian Cancer Case-Control Study and (2) between childhood maltreatment and comorbid post-traumatic stress disorder and depression in adulthood using data from the Gray Trauma Project.
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PMID:Gene-based mediation analysis in epigenetic studies. 3260 80


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