A Coordinated and Systematic Model for Adopting, Implementing and Maintaining Effective Sexual Health Education Programs in Schools

Getting evidence-based sexual health education activities into schools can be a complicated process. Working models that assist our educational system in the selection, implementation, and maintenance of effective school-based adolescent health programs are needed. Replicating sexual health programs in school-based settings: A model for schools provides a comprehensive and applied approach that engages all of the important stakeholders within a school district. The results from this study hold much potential to inform Texas and the nation about how a coordinated and practical model can assist school districts to increase the use of evidence-based programs addressing teen pregnancy prevention and sexual health issues.

Change Detection Memory in Rhesus Monkeys and Humans

Visual short-term memory (VSTM) is the storage of visual information over a brief time period (usually a few seconds or less). Over the past decade, the most popular task for studying VSTM in humans has been the change detection task. In this task, subjects must remember several visual items per trial in order to identify a change following a brief delay interval. Results from change detection tasks have shown that VSTM is limited; humans are only able to accurately hold a few visual items in mind over a brief delay. However, there has been much debate in regard to the structure or cause of these limitations. The two most popular conceptualizations of VSTM limitations in recent years have been the fixed-capacity model and the continuous-resource model. The fixed-capacity model proposes a discrete limit on the total number of visual items that can be stored in VSTM. The continuous-resource model proposes a continuous-resource that can be allocated among many visual items in VSTM, with noise in item memory increasing as the number of items to be remembered increases. While VSTM is far from being completely understood in humans, even less is known about VSTM in non-human animals, including the rhesus monkey (Macaca mulatta). Given that rhesus monkeys are the premier medical model for humans, it is important to understand their VSTM if they are to contribute to understanding human memory. The primary goals of this study were to train and test rhesus monkeys and humans in change detection in order to directly compare VSTM between the two species and explore the possibility that direct species comparison might shed light on the fixed-capacity vs. continuous-resource models of VSTM. The comparative results suggest qualitatively similar VSTM for the two species through converging evidence supporting the continuous-resource model and thereby establish rhesus monkeys as a good system for exploring neurophysiological correlates of VSTM.

Folklore, fad, and fashion: The concept of misconduct in science redefined

This study is an analytical investigation of the nature and implications of the current conceptions of scientific misconduct, arguing that the question of what constitutes misconduct in science is significantly more complex than what conventionally has been believed. Complicating the definitions of misconduct are the differences between professional science and non-scientific professions, in their respective norms of what constitutes valid knowledge, and what counts as appropriate and inappropriate practice. While institutionalized science claims that there is clear differentiation between its standards of validity and those of the non-scientific professions, this paper argues that, when it comes to misconduct, the perceived boundaries between the scientific and non-scientific professions are breached; the practice standards that science currently employs in self-policing misconduct have come to resemble the minimal juridical standards of practice that other professions employ. This study attempts, despite erosion of these traditional boundaries, to move from legalistic standards of scientific practice to intramural standards of practice, and in so doing, to hold scientific practice to a higher standard than ordinary public conduct. The result is a clearer understanding of scientific misconduct to aid those individual scientists who are required to make onerous determinations about the appropriateness of specific practices by their peers. ^

Prime and boost vaccination against HER2/neu in breast cancer

Breast cancer is the most common cancer among women with approximately 180,000 new cases being diagnosed yearly in the United States (1). HER2/neu gene amplification and subsequent protein overexpression is found in 20–30% of breast cancer patients and can lead to the promotion of various metastasis-related properties (2–4) and/or resistance to cancer therapies such as chemotherapy and radiation (5). ^ The protein product of the HER2/neu gene, p185, is a proven target for immunological therapy. Recently, passive immunotherapy with the monoclonal antibody Trastuzumab® has validated an immunological approach to HER2/neu+ breast cancer. Immunity to HER2/ neu, when found in breast cancer patients, is of low magnitude. Vaccination-induced HER2/neu-specific antibodies and HER2/neu-specific cytotoxic T cells could result in long-lived immunity with therapeutic benefit. Many features of DNA vaccines and attenuated viral vectors may contribute to the efficacy of prime-boost vaccination. In particular, vaccines capable of eliciting strong cell-mediated immunity are thought to hold the greatest promise for control of cancer (6–9). ^ To optimize cellular immunization to HER2/neu in my study, the HER2/neu gene was presented to the immune system using a priming vector followed by a second vector used as the boost. In both animals and humans, priming with DNA and boosting with a poxviruses, vaccinia or canarypox appears to be particularly promising for induction of a broad immune responses (10). ^ I tested three gene vaccines encoding the HER2/neu gene: (1) a plasmid, SINCP, that contains part of the genome of Sindbis virus; (2) Viral Replicon Particles (VRP) of Venezuela Equine Encephalitis virus (VEE) and (3) E1/E2a-deleted human Type 5 Adenovirus. In SINCP and the VRP, the caspid and envelope genes of the virus were deleted and replaced with the gene for HER2/neu. SINCP-neu, VRP- neu and Adeno-neu when used alone were effective vaccines protecting healthy mice from challenge with a breast cancer cell line injected in the mammary fat pad or injected i.v. to induce experimental lung metastasis. However, SINCP-neu, VRP-neu or Adeno-neu when used alone were not able to prolong survival of mice in therapeutic models in which vaccination occurred after injection of a breast cancer cell line. ^ When the vaccines were combined in a mixed regimen of a SINCP- neu prime VRP-neu or Adeno-neu boost, there was a significant difference in tumor growth and survival in the therapeutic vaccine models. In vitro assays demonstrated that vaccination with each of the three vaccines induced IgG specific for p185, the gene product of HER2/neu, induced p185-specific T lymphocytes, as measured by tetramer analysis. Vaccination also induced intracellular INF-γ and a positive ELISPOT assay. These findings indicate that SINCP-neu, VRP-neu and Adeno-neu, used alone or in combination, may have clinical potential as adjuvant immunotherapy for the treatment of HER2/neu-expressing tumors. ^

The opioid antagonist naltrexone and its pharmacological role in treating alcohol dependence: A literature review

Naltrexone, an opioid antagonist, was the second drug approved for treatment of alcohol dependence in the U.S. Its approval followed two landmark studies published in the U.S. in 1992. [1, 2] These studies showed that a combined treatment of naltrexone and behavioral therapy reduced alcohol consumption in alcoholics. Opioid antagonists decrease craving for alcohol and help to reduce drinking by blocking opioid peptide receptors in the body that are active in a dopamine chemical reward system. ^ Despite their usefulness, opioid antagonists have been underutilized. Health providers not educated in the use of opioid antagonists hold the view that opioid antagonist therapy is ineffective. However, it is apparent from the relevant literature that this therapy, when properly understood and targeted, has the potential to make a positive contribution in treating alcohol dependent patients. ^ This thesis will review the scientific literature and the present body of knowledge regarding opioid antagonists (naltrexone) and their pharmacological role in treating alcohol dependence.^

Refugees from Myanmar and their health care needs in the US: A qualitative study at a refugee-resettlement agency

In response to the recent rapid influx of refugees from Myanmar, Interfaith Ministries for Greater Houston (IM), a refugee resettlement agency, started to support them in June 2007. The study looked at the refugees' perspectives and identified the gaps in their understanding on US health care system, health seeking behaviors and challenges in utilizing health care in United States. The major issues identified were non-compliance with tuberculosis prevention medication due to barriers in obtaining medication refills, barriers in accessing specialty care services, transportation issues, written and oral language barrier, difficulties in the application for and use of Medicaid and Gold Card, misunderstanding of emergency health services, lack of resources for health education, self-treatment with Western medicine and income too low to buy private health insurance. In order to transform them to healthy citizens able to contribute to the US workforce, several multi-faceted and comprehensive approaches and better coordination among agencies are recommended. ^

If we call them, will they change? Feasibility of a telephone adaptation of motivational interviewing aimed at parents to reduce television time among 2nd and 4th grade children

Television viewing is a sedentary behavior that is modifiable. Reducing media-related behaviors via parent-focused interventions may hold promise for decreasing childhood obesity. This feasibility study examines a novel parent-centered brief telephone-delivered Motivational Enhancement Interview (MEI) to encourage parents of 2nd and 4th graders to set a rules limiting TV time or remove the TV from the child's bedroom. This quasi-experimental sub-study was part of the larger CATCH: En Vivo pilot study conducted in a Hispanic population in the Texas Rio Grande Valley. Parents in the MEI condition were contacted via telephone and encouraged to meet the American Academy of Pediatrics (AAP) recommended 2 hours per day or less of TV. Unconditional logistic regression was used to analyze the data. At post-test, 85% of parents of 4th graders in the MEI group (compared to 71% at pre-test) reported having a rule limiting TV time. The adjusted odds ratio for the MEI group compared to the control group was 3.88, 95% CI (0.72-20.99). At pre-test, 63.16% of 2nd graders had a television in their bedrooms. The 2nd grade MEI intervention reduced that number to 41.03% (OR=0.25, 95%CI (0.08-0.82)). This first look at using MEI to target parents of children to modify TV behavior presents evidence on a promising strategy for modifying children's home media environment and warrants further investigation. ^

Social network size and perceived network sufficiency as predictors of perceived health status

This study focused on the relationship between social network size (number of friends and relatives), perceived sufficiency of the network and self-rated health utilizing data from the National Survey of Personal Health Practices and Consequences, 1979. For men neither perceived sufficiency nor number of relatives were associated with self-rated health status. The number of friends was positively associated with health status. For women perceived network sufficiency was positively and significantly related to health status, independent of network size. The number of friends and relatives was not associated with self-rated health status. The sociodemographic variables accounted for most of the explained variance in health status for both males and females. Social networks may hold different meanings for women and men, and may require qualitative as well as quantitative analysis. There may have been insufficient variance in the major variables to produce meaningful results. ^

COSTS AND EFFECTS OF ARKANSAS' LONG-TERM CARE DEMONSTRATION PROJECT (MEDICAID, CHANELLING, COMMUNITY ASSESSMENT)

The purpose of this study was to assess the impact of the Arkansas Long-Term Care Demonstration Project upon Arkansas' Medicaid expenditures and upon the clients it serves. A Retrospective Medicaid expenditure study component used analyses of variance techniques to test for the Project's effects upon aggregated expenditures for 28 demonstration and control counties representing 25 percent of the State's population over four years, 1979-1982.^ A second approach to the study question utilized a 1982 prospective sample of 458 demonstration and control clients from the same 28 counties. The disability level or need for care of each patient was established a priori. The extent to which an individual's variation in Medicaid utilization and costs was explained by patient need, presence or absence of the channeling project's placement decision or some other patient characteristic was examined by multiple regression analysis. Long-term and acute care Medicaid, Medicare, third party, self-pay and the grand total of all Medicaid claims were analyzed for project effects and explanatory relationships.^ The main project effect was to increase personal care costs without reducing nursing home or acute care costs (Prospective Study). Expansion of clients appeared to occur in personal care (Prospective Study) and minimum care nursing home (Retrospective Study) for the project areas. Cost-shifting between Medicaid and Medicare in the project areas and two different patterns of utilization in the North and South projects tended to offset each other such that no differences in total costs between the project areas and demonstration areas occurred. The project was significant ((beta) = .22, p < .001) only for personal care costs. The explanatory power of this personal care regression model (R('2) = .36) was comparable to other reported health services utilization models. Other variables (Medicare buy-in, level of disability, Social Security Supplemental Income (SSI), net monthly income, North/South areas and age) explained more variation in the other twelve cost regression models. ^

ROLE CONFLICT, ROLE AMBIGUITY, AND JOB DISSATISFACTION: A STUDY OF HOSPITAL EXECUTIVES

The purpose of this study was to assess the relationship of role conflict and role ambiguity to job dissatisfaction among 169 hospital executives in Houston and San Antonio, Texas. Organizational characteristics were studied as moderators.^ Role conflict and role ambiguity scores among respondents were found to be lower than in studies reported in the literature. Job dissatisfaction scores were slightly lower (indicating less dissatisfaction) than those reported elsewhere for the constructs of security, social, and esteem needs; comparable for self-fulfillment; and slightly higher for autonomy needs. Conclusions were that role ambiguity and role conflict were related to job dissatisfaction among the respondents; that the same relationships hold true when controlling for organizational characteristics; that those highest on the organizational ladder were the least dissatisfied; and that those with the greatest amount of budget responsibility had the lowest levels of job dissatisfaction. ^

Development and Implementation of the Use of Optically Stimulated Luminescent Detectors in the Radiological Physics Center Anthropomorphic Quality Assurance Phantoms

The Radiological Physics Center (RPC) uses both on-site and remote reviews to credential institutions for participation in clinical trials. Anthropomorphic quality assurance (QA) phantoms are one tool the RPC uses to remotely audit institutions, which include thermoluminescent dosimeters (TLDs) and radiochromic film. The RPC desires to switch from TLD as the absolute dosimeter in the phantoms, to optically stimulated luminescent dosimeters (OSLDs), but a problem lies in the angular dependence exhibited by the OSLD. The purpose of this study was to characterize the angular dependence of OSLD and establish a correction factor if necessary, to provide accurate dosimetric measurements as a replacement for TLD in the QA phantoms. A 10 cm diameter high-impact polystyrene spherical phantom was designed and constructed to hold an OSLD to study the angular response of the dosimeter under the simplest of circumstances for both coplanar and non-coplanar treatment deliveries. OSLD were irradiated in the spherical phantom, and the responses of the dosimeter from edge-on angles were normalized to the response when irradiated with the beam incident normally on the surface of the dosimeter. The average normalized response was used to establish an angular correction factor for 6 MV and 18 coplanar treatments, and for 6 MV non-coplanar treatments specific to CyberKnife. The RPC pelvic phantom dosimetry insert was modified to hold OSLD, in addition to the TLD, adjacent to the planes of film. Treatment plans of increasing angular beam delivery were developed, three in Pinnacle v9.0 (4-field box, IMRT, and VMAT) and one in Accuray’s MultiPlan v3.5.3 (CyberKnife). The plans were delivered to the pelvic phantom containing both TLD and OSLD in the target volume. The pelvic phantom was also sent to two institutions to be irradiated as trials, one delivering IMRT, and the other a CyberKnife treatment. For the IMRT deliveries and the two institution trials, the phantom also included film in the sagittal and coronal planes. The doses measured from the TLD and OSLD were calculated for each irradiation, and the angular correction factors established from the spherical phantom irradiations were applied to the OSLD dose. The ratio of the TLD dose to the angular corrected OSLD dose was calculated for each irradiation. The corrected OSLD dose was found to be within 1% of the TLD measured dose for all irradiations, with the exception of the in-house CyberKnife deliveries. The films were normalized to both TLD measured dose and the corrected OSLD dose. Dose profiles were obtained and gamma analysis was performed using a 7%/4 mm criteria, to compare the ability of the OSLD, when corrected for the angular dependence, to provide equivalent results to TLD. The results of this study indicate that the OSLD can effectively be used as a replacement for TLD in the RPC’s anthropomorphic QA phantoms for coplanar treatment deliveries when a correction is applied for the dosimeter’s angular dependence.

The Comprehensive Assessment of Leadership for Learning: A Next Generation Formative Evaluation and Feedback System

Recent developments in federal policy have prompted the creation of state evaluation frameworks for principals and teachers that hold educators accountable for effective practices and student outcomes. These changes have created a demand for formative evaluation instruments that reflect current accountability pressures and can be used by schools to focus school improvement and leadership development efforts. The Comprehensive Assessment of Leadership for Learning (CALL) is a next generation, 360-degree on-line assessment and feedback system that reflect best practices in feedback design. Some unique characteristics of CALL include a focus on: leadership distributed throughout the school rather than as carried out by an individual leader; assessment of leadership tasks rather than perceptions of leadership practice; a focus on larger complex systems of middle and high school; and transparency of assessment design. This paper describes research contributing to the design and validation of the CALL survey instrument.

Radiomics of NSCLC: Quantitative CT Image Feature Characterization and Tumor Shrinkage Prediction

Radiomics is the high-throughput extraction and analysis of quantitative image features. For non-small cell lung cancer (NSCLC) patients, radiomics can be applied to standard of care computed tomography (CT) images to improve tumor diagnosis, staging, and response assessment. The first objective of this work was to show that CT image features extracted from pre-treatment NSCLC tumors could be used to predict tumor shrinkage in response to therapy. This is important since tumor shrinkage is an important cancer treatment endpoint that is correlated with probability of disease progression and overall survival. Accurate prediction of tumor shrinkage could also lead to individually customized treatment plans. To accomplish this objective, 64 stage NSCLC patients with similar treatments were all imaged using the same CT scanner and protocol. Quantitative image features were extracted and principal component regression with simulated annealing subset selection was used to predict shrinkage. Cross validation and permutation tests were used to validate the results. The optimal model gave a strong correlation between the observed and predicted shrinkages with . The second objective of this work was to identify sets of NSCLC CT image features that are reproducible, non-redundant, and informative across multiple machines. Feature sets with these qualities are needed for NSCLC radiomics models to be robust to machine variation and spurious correlation. To accomplish this objective, test-retest CT image pairs were obtained from 56 NSCLC patients imaged on three CT machines from two institutions. For each machine, quantitative image features with concordance correlation coefficient values greater than 0.90 were considered reproducible. Multi-machine reproducible feature sets were created by taking the intersection of individual machine reproducible feature sets. Redundant features were removed through hierarchical clustering. The findings showed that image feature reproducibility and redundancy depended on both the CT machine and the CT image type (average cine 4D-CT imaging vs. end-exhale cine 4D-CT imaging vs. helical inspiratory breath-hold 3D CT). For each image type, a set of cross-machine reproducible, non-redundant, and informative image features was identified. Compared to end-exhale 4D-CT and breath-hold 3D-CT, average 4D-CT derived image features showed superior multi-machine reproducibility and are the best candidates for clinical correlation.

Development and implementation of a dynamic heterogeneous proton equivalent anthropomorphic thorax phantom for the assessment of scanned proton beam therapy

DEVELOPMENT AND IMPLEMENTATION OF A DYNAMIC HETEROGENEOUS PROTON EQUIVALENT ANTHROPOMORPHIC THORAX PHANTOM FOR THE ASSESSMENT OF SCANNED PROTON BEAM THERAPY by James Leroy Neihart, B.S. APPROVED: ______________________________David Followill, Ph.D. ______________________________Peter Balter, Ph.D. ______________________________Narayan Sahoo, Ph.D. ______________________________Kenneth Hess, Ph.D. ______________________________Paige Summers, M.S. APPROVED: ____________________________ Dean, The University of Texas Graduate School of Biomedical Sciences at Houston DEVELOPMENT AND IMPLEMENTATION OF A DYNAMIC HETEROGENEOUS PROTON EQUIVALENT ANTHROPOMORPHIC THORAX PHANTOM FOR THE ASSESSMENT OF SCANNED PROTON BEAM THERAPY A THESIS Presented to the Faculty of The University of Texas Health Science Center at Houston andThe University of TexasMD Anderson Cancer CenterGraduate School of Biomedical Sciences in Partial Fulfillment of the Requirements for the Degree of MASTER OF SCIENCE by James Leroy Neihart, B.S. Houston, Texas Date of Graduation August, 2013 Acknowledgments I would like to acknowledge my advisory committee members, chair David Followill, Ph.D., Peter Balter, Ph.D, Narayan Sahoo, Ph.D., Kenneth Hess, Ph.D., Paige Summers M.S. and, for their time and effort contributed to this project. I would additionally like to thank the faculty and staff at the PTC-H and the RPC who assisted in many aspects of this project. Falk Pӧnisch, Ph.D. for his breath hold proton therapy treatment expertise, Matt Palmer and Jaques Bluett for proton dosimetry assistance, Matt Kerr for verification plan assistance, Carrie Amador, Nadia Hernandez, Trang Nguyen, Andrea Molineu, Lynda McDonald for TLD and film dosimetry assistance. Finally, I would like to thank my wife and family for their support and encouragement during my research and studies. Development and implementation of a dynamic heterogeneous proton equivalent anthropomorphic thorax phantom for the assessment of scanned proton beam therapy By: James Leroy Neihart, B.S. Chair of Advisory Committee: David Followill, Ph.D Proton therapy has been gaining ground recently in radiation oncology. To date, the most successful utilization of proton therapy is in head and neck cases as well as prostate cases. These tumor locations do not suffer from the resulting difficulties of treatment delivery as a result of respiratory motion. Lung tumors require either breath hold or motion tracking, neither of which have been assessed with an end-to-end phantom for proton treatments. Currently, the RPC does not have a dynamic thoracic phantom for proton therapy procedure assessment. Additionally, such a phantom could be an excellent means of assessing quality assurance of the procedures of proton therapy centers wishing to participate in clinical trials. An eventual goal of this phantom is to have a means of evaluating and auditing institutions for the ability to start clinical trials utilizing proton therapy procedures for lung cancers. Therefore, the hypothesis of this study is that a dynamic anthropomorphic thoracic phantom can be created to evaluate end-to-end proton therapy treatment procedures for lung cancer to assure agreement between the measured and calculated dose within 5% / 5 mm with a reproducibility of 2%. Multiple materials were assessed for thoracic heterogeneity equivalency. The phantom was designed from the materials found to be in greatest agreement. The phantom was treated in an end-to-end treatment four times, which included simulation, treatment planning and treatment delivery. Each treatment plan was delivered three times to assess reproducibility. The dose measured within the phantom was compared to that of the treatment plan. The hypothesis was fully supported for three of the treatment plans, but failed the reproducibility requirement for the most aggressive treatment plan.

BAYESIAN STATISTICAL METHODS IN GENE-ENVIRONMENT AND GENE-GENE INTERACTION STUDIES

Complex diseases such as cancer result from multiple genetic changes and environmental exposures. Due to the rapid development of genotyping and sequencing technologies, we are now able to more accurately assess causal effects of many genetic and environmental factors. Genome-wide association studies have been able to localize many causal genetic variants predisposing to certain diseases. However, these studies only explain a small portion of variations in the heritability of diseases. More advanced statistical models are urgently needed to identify and characterize some additional genetic and environmental factors and their interactions, which will enable us to better understand the causes of complex diseases. In the past decade, thanks to the increasing computational capabilities and novel statistical developments, Bayesian methods have been widely applied in the genetics/genomics researches and demonstrating superiority over some regular approaches in certain research areas. Gene-environment and gene-gene interaction studies are among the areas where Bayesian methods may fully exert its functionalities and advantages. This dissertation focuses on developing new Bayesian statistical methods for data analysis with complex gene-environment and gene-gene interactions, as well as extending some existing methods for gene-environment interactions to other related areas. It includes three sections: (1) Deriving the Bayesian variable selection framework for the hierarchical gene-environment and gene-gene interactions; (2) Developing the Bayesian Natural and Orthogonal Interaction (NOIA) models for gene-environment interactions; and (3) extending the applications of two Bayesian statistical methods which were developed for gene-environment interaction studies, to other related types of studies such as adaptive borrowing historical data. We propose a Bayesian hierarchical mixture model framework that allows us to investigate the genetic and environmental effects, gene by gene interactions (epistasis) and gene by environment interactions in the same model. It is well known that, in many practical situations, there exists a natural hierarchical structure between the main effects and interactions in the linear model. Here we propose a model that incorporates this hierarchical structure into the Bayesian mixture model, such that the irrelevant interaction effects can be removed more efficiently, resulting in more robust, parsimonious and powerful models. We evaluate both of the 'strong hierarchical' and 'weak hierarchical' models, which specify that both or one of the main effects between interacting factors must be present for the interactions to be included in the model. The extensive simulation results show that the proposed strong and weak hierarchical mixture models control the proportion of false positive discoveries and yield a powerful approach to identify the predisposing main effects and interactions in the studies with complex gene-environment and gene-gene interactions. We also compare these two models with the 'independent' model that does not impose this hierarchical constraint and observe their superior performances in most of the considered situations. The proposed models are implemented in the real data analysis of gene and environment interactions in the cases of lung cancer and cutaneous melanoma case-control studies. The Bayesian statistical models enjoy the properties of being allowed to incorporate useful prior information in the modeling process. Moreover, the Bayesian mixture model outperforms the multivariate logistic model in terms of the performances on the parameter estimation and variable selection in most cases. Our proposed models hold the hierarchical constraints, that further improve the Bayesian mixture model by reducing the proportion of false positive findings among the identified interactions and successfully identifying the reported associations. This is practically appealing for the study of investigating the causal factors from a moderate number of candidate genetic and environmental factors along with a relatively large number of interactions. The natural and orthogonal interaction (NOIA) models of genetic effects have previously been developed to provide an analysis framework, by which the estimates of effects for a quantitative trait are statistically orthogonal regardless of the existence of Hardy-Weinberg Equilibrium (HWE) within loci. Ma et al. (2012) recently developed a NOIA model for the gene-environment interaction studies and have shown the advantages of using the model for detecting the true main effects and interactions, compared with the usual functional model. In this project, we propose a novel Bayesian statistical model that combines the Bayesian hierarchical mixture model with the NOIA statistical model and the usual functional model. The proposed Bayesian NOIA model demonstrates more power at detecting the non-null effects with higher marginal posterior probabilities. Also, we review two Bayesian statistical models (Bayesian empirical shrinkage-type estimator and Bayesian model averaging), which were developed for the gene-environment interaction studies. Inspired by these Bayesian models, we develop two novel statistical methods that are able to handle the related problems such as borrowing data from historical studies. The proposed methods are analogous to the methods for the gene-environment interactions on behalf of the success on balancing the statistical efficiency and bias in a unified model. By extensive simulation studies, we compare the operating characteristics of the proposed models with the existing models including the hierarchical meta-analysis model. The results show that the proposed approaches adaptively borrow the historical data in a data-driven way. These novel models may have a broad range of statistical applications in both of genetic/genomic and clinical studies.