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Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
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Molecular genomic research designs.

Kelley Baumgartel1, Jamie Zelazny, Theresa Timcheck

  • 1University of Pittsburgh, PA, USA.

Annual Review of Nursing Research
|August 16, 2012
PubMed
Summary
This summary is machine-generated.

Nurse scientists can leverage genetic and genomic research to understand disease and recovery. This guide aids in designing and executing studies using various genetic and genomic approaches for better patient outcomes.

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Area of Science:

  • Genetics and Genomics in Nursing Research
  • Biobehavioral Research Methodologies

Background:

  • Genetic and genomic research offers insights into disease pathophysiology, susceptibility, recovery, and treatment responses.
  • Nurse scientists are increasingly involved in these research areas, necessitating specialized methodological guidance.

Purpose of the Study:

  • To guide nurse scientists in incorporating genetic and genomic trajectories into their research designs.
  • To facilitate the design and execution of genetic and genomic studies, whether new or utilizing existing data/samples.

Main Methods:

  • Discussion of various study designs: candidate gene association, genome-wide association, candidate gene expression, global gene expression, and epigenetic/epigenomic studies.
  • Considerations for selecting appropriate designs based on research questions and available data/samples.
  • Overview of key technologies and online resources for executing these study designs.

Main Results:

  • Provides a framework for understanding and applying different genetic and genomic research designs.
  • Highlights methodological considerations and technological resources crucial for successful study implementation.

Conclusions:

  • Effective research design is critical for maximizing the utility of genetic and genomic data in nursing science.
  • This chapter equips nurse scientists with the knowledge to design and conduct robust genetic and genomic studies, advancing the understanding of complex health phenomena.