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Life Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

2019

Genomics

Medicine and Health Sciences

Theses/Dissertations

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Full-Text Articles in Life Sciences

Evidence-Based Practice Self-Study Education Program For Staff Nurses On Genomics, Nancy L. Norman-Marzella Jan 2019

Evidence-Based Practice Self-Study Education Program For Staff Nurses On Genomics, Nancy L. Norman-Marzella

Walden Dissertations and Doctoral Studies

Nurses routinely obtain genomic data when collecting family health histories. However, they report low confidence in their knowledge and understanding of genomics and the genetically engineered medications prescribed for their patients. The purpose of this project was the development and implementation of an evidence-based online education program about genetics and genomics to increase the nurses' understanding and ability to provide competent care for their patients receiving treatments based on the science of genomics. Knowles's principles of adult learning theory guided the development and delivery of the online education project to 12 medical-surgical registered nurses employed in a hospital in the …


Genome-Wide Systems Genetics Of Alcohol Consumption And Dependence, Kristin Mignogna Jan 2019

Genome-Wide Systems Genetics Of Alcohol Consumption And Dependence, Kristin Mignogna

Theses and Dissertations

Widely effective treatment for alcohol use disorder is not yet available, because the exact biological mechanisms that underlie this disorder are not completely understood. One way to gain a better understanding of these mechanisms is to examine the genetic frameworks that contribute to the risk for developing this disorder. This dissertation examines genetic association data in combination with gene expression networks in the brain to identify functional groups of genes associated with alcohol consumption and dependence.

The first study took advantage of the behavioral complexity of human samples, and experimental capabilities provided by mouse models, by co-analyzing gene expression networks …