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Advancing the biobehavioral research of fatigue with genetics and genomics.

ABSTRACT: To examine phenotypic considerations in the study of fatigue and to explore significant issues affecting the extension of biobehavioral research of fatigue by the inclusion of genetic and genomic markers. THEORETICAL ORGANIZATION: Fatigue is a condition that has an adverse effect on quality of life that has been a focus of nursing inquiry. Yet, the study of fatigue has been stymied by the lack of phenotypic clarity. To expand the biobehavioral inquiry of fatigue, phenotypic clarity is needed. In addition, examining genomic factors associated with fatigue may help to elucidate the pathophysiology of fatigue and, in the future, lead to targeted interventions that address the molecular basis of fatigue.Given that nursing has been at the forefront of the study of fatigue, nurse scientists should consider enhancing phenotypic clarity by the development of a case-definition and use of a core measure of fatigue, one that can be augmented by condition- or population-specific measures as needed. Following the establishment of phenotypic clarity, the integration of genomics into biobehavioral research offers an opportunity for further clarity of phenotypes and for theoretical specification of the pathophysiology of conditions such as fatigue.The development of targeted interventions for fatigue depend on a more precise definition of fatigue and a better understanding of the biologic processes that contribute to its development and persistence.

SUBMITTER: Lyon DE

PROVIDER: S-EPMC3934428 | biostudies-other | 2011 Sep

REPOSITORIES: biostudies-other

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Advancing the biobehavioral research of fatigue with genetics and genomics.

Lyon Debra E DE McCain Nancy L NL Pickler Rita H RH Munro Cindy C Elswick R K RK

Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing 20110729 3

<h4>Purpose</h4>To examine phenotypic considerations in the study of fatigue and to explore significant issues affecting the extension of biobehavioral research of fatigue by the inclusion of genetic and genomic markers. THEORETICAL ORGANIZATION: Fatigue is a condition that has an adverse effect on quality of life that has been a focus of nursing inquiry. Yet, the study of fatigue has been stymied by the lack of phenotypic clarity. To expand the biobehavioral inquiry of fatigue, phenotypic clari ...[more]

PMID: 21884373

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Project description:Common metabolic and endocrine diseases such as diabetes affect millions of people worldwide and have a major health impact, frequently leading to complications and mortality. In a search for better prevention and treatment, there is ongoing research into the underlying molecular and genetic bases of these complex human diseases, as well as into the links with risk factors such as obesity. Although an increasing number of relevant genomic and proteomic data sets have become available, the quantity and diversity of the data make their efficient exploitation challenging. Here, we present metabolicMine, a data warehouse with a specific focus on the genomics, genetics and proteomics of common metabolic diseases. Developed in collaboration with leading UK metabolic disease groups, metabolicMine integrates data sets from a range of experiments and model organisms alongside tools for exploring them. The current version brings together information covering genes, proteins, orthologues, interactions, gene expression, pathways, ontologies, diseases, genome-wide association studies and single nucleotide polymorphisms. Although the emphasis is on human data, key data sets from mouse and rat are included. These are complemented by interoperation with the RatMine rat genomics database, with a corresponding mouse version under development by the Mouse Genome Informatics (MGI) group. The web interface contains a number of features including keyword search, a library of Search Forms, the QueryBuilder and list analysis tools. This provides researchers with many different ways to analyse, view and flexibly export data. Programming interfaces and automatic code generation in several languages are supported, and many of the features of the web interface are available through web services. The combination of diverse data sets integrated with analysis tools and a powerful query system makes metabolicMine a valuable research resource. The web interface makes it accessible to first-time users, whereas the Application Programming Interface (API) and web services provide convenient data access and tools for bioinformaticians. metabolicMine is freely available online at http://www.metabolicmine.org Database URL: http://www.metabolicmine.org.

Dataset Information

Advancing the biobehavioral research of fatigue with genetics and genomics.

Publications

Advancing the biobehavioral research of fatigue with genetics and genomics.

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