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Nursing Informatics and Epigenetics: Methodological Considerations for Big Data Analysis.

John J Milner1, Julie K Zadinsky, S Pamela K Shiao

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Summary
This summary is machine-generated.

Nursing informatics specialists can now perform epigenetic research using public data. This methodology strengthens patient-centered care through advanced data analysis and understanding of epigenetic markers.

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Area of Science:

  • Bioinformatics
  • Genomics
  • Nursing Informatics

Background:

  • Nursing informatics integrates patient data and clinical workflows.
  • Epigenetic research demands robust data analysis skills.
  • Bridging these fields can enhance patient-centered care.

Purpose of the Study:

  • To outline a methodology for nursing informatics specialists to conduct epigenetic research.
  • To demonstrate how epigenetic research can strengthen patient-centered care.
  • To provide a practical guide using publicly available resources.

Main Methods:

  • A pilot study using secondary methylation data from The Cancer Genome Atlas (TCGA) for colon cancer patients.
  • Detailed steps for accessing and analyzing public epigenetic data.
  • Utilizing free resources for data acquisition, analysis, and interpretation.

Main Results:

  • Demonstrated a feasible workflow for epigenetic data analysis within nursing informatics.
  • Identified key steps: data source identification, differential methylation analysis, annotation, and functional analysis.
  • Provided a model for epigenetic testing workflow and a list of public resources.

Conclusions:

  • Nursing informatics specialists can effectively conduct epigenetic research.
  • This research methodology can be applied to enhance patient-centered care strategies.
  • Publicly available data and tools facilitate accessible epigenetic research.