2 resultados para Capture-mark-recapture

em DigitalCommons@The Texas Medical Center


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A wealth of genetic associations for cardiovascular and metabolic phenotypes in humans has been accumulating over the last decade, in particular a large number of loci derived from recent genome wide association studies (GWAS). True complex disease-associated loci often exert modest effects, so their delineation currently requires integration of diverse phenotypic data from large studies to ensure robust meta-analyses. We have designed a gene-centric 50 K single nucleotide polymorphism (SNP) array to assess potentially relevant loci across a range of cardiovascular, metabolic and inflammatory syndromes. The array utilizes a "cosmopolitan" tagging approach to capture the genetic diversity across approximately 2,000 loci in populations represented in the HapMap and SeattleSNPs projects. The array content is informed by GWAS of vascular and inflammatory disease, expression quantitative trait loci implicated in atherosclerosis, pathway based approaches and comprehensive literature searching. The custom flexibility of the array platform facilitated interrogation of loci at differing stringencies, according to a gene prioritization strategy that allows saturation of high priority loci with a greater density of markers than the existing GWAS tools, particularly in African HapMap samples. We also demonstrate that the IBC array can be used to complement GWAS, increasing coverage in high priority CVD-related loci across all major HapMap populations. DNA from over 200,000 extensively phenotyped individuals will be genotyped with this array with a significant portion of the generated data being released into the academic domain facilitating in silico replication attempts, analyses of rare variants and cross-cohort meta-analyses in diverse populations. These datasets will also facilitate more robust secondary analyses, such as explorations with alternative genetic models, epistasis and gene-environment interactions.

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The purpose of this study was to conduct a descriptive, exploratory analysis of the utilization of both traditional healing methods and western biomedical approaches to health care among members of the Vietnamese community in Houston, Texas. The first goal of the study was to identify the type(s) of health care that the Vietnamese use. The second goal was to highlight the numerous factors that may influence why certain health care choices are made. The third goal of this study was to examine the issue of preference to determine which practices would be used if limiting factors did not exist. ^ There were 81 participants, consisting of males and females who were 18 years or older. The core groups of participants were Vietnamese students from the University of Houston-Downtown and volunteer staff members from VN TeamWork. Asking the students and staff members to recommend others for the study used the snowball method of recruiting additional participants. ^ Surveys and informed consents were in English and Vietnamese. The participants were given the choice to take the surveys face-to-face or on their own. Surveys consisted of structured questions with predetermined choices, as well as, open-ended questions to allow more detailed information. The quantitative and qualitative data were coded and entered into a database, using SPSS software version 15.0. ^ Results indicated that participants used both traditional (38.3%) and biomedical (59.3%) healing, with 44.4% stating that it depended on the illness as to treatment. Coining was the most used traditional healing method, clearly still used by all ages. Coining was also the method most used when issues regarding fear and delayed western medical treatment were involved. It was determined that insurance status, more than household income, guided health care choices. A person's age, number of years spent in the United States, age at migration, and the use of certain traditional healing methods like coining all played a role in the importance of the health care practitioner speaking Vietnamese. The most important finding was that 64.2% of the participants preferred both traditional and western medicine because both methods work. ^