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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
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Genomic Nursing.

Heather Hannon1, Elizabeth Hassen

  • 1Heather Hannon is an oncology NP at Bon Secours Cancer Institute in Richmond, VA. Elizabeth Hassen is precision medicine manager at AstraZeneca in Wilmington, DE. Contact author: Heather Hannon, heather.a.hannon@gmail.com . The authors have disclosed no potential conflicts of interest, financial or otherwise.

The American Journal of Nursing
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Summary
This summary is machine-generated.

This study focuses on translating genetic and genomic information into actionable strategies to enhance patient health outcomes. By leveraging genomic data, researchers aim to personalize medical treatments and improve overall public health.

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Area of Science:

  • Genomics
  • Translational Medicine
  • Health Outcomes Research

Background:

  • Growing volume of genetic and genomic data.
  • Need for effective translation into clinical practice.
  • Potential for personalized medicine.

Purpose of the Study:

  • To outline strategies for translating genetic and genomic information.
  • To improve patient health outcomes through data application.
  • To bridge the gap between research findings and clinical utility.

Main Methods:

  • Systematic review of current translational approaches.
  • Analysis of data integration platforms.
  • Case studies of successful genomic data application.

Main Results:

  • Identified key barriers and facilitators in genomic data translation.
  • Demonstrated the impact of integrated data on clinical decision-making.
  • Highlighted successful implementation models for genomic medicine.

Conclusions:

  • Effective translation of genetic and genomic information is crucial for advancing personalized healthcare.
  • Interdisciplinary collaboration and robust data infrastructure are essential.
  • Continued research is needed to optimize the use of genomic data for improved health.