학술논문

The Genomic Medicine Integrative Research Framework: A Conceptual Framework for Conducting Genomic Medicine Research
Document Type
article
Source
American Journal of Human Genetics. 104(6)
Subject
Health Services and Systems
Health Sciences
Genetics
Biological Sciences
Prevention
Human Genome
Clinical Research
Biotechnology
Good Health and Well Being
Biomedical Research
Delivery of Health Care
Integrated
Genetics
Medical
Genomics
Humans
Models
Theoretical
Precision Medicine
Rare Diseases
Research Design
conceptual
diversity
framework
genomics
implementation
model
translational research
Medical and Health Sciences
Genetics & Heredity
Biological sciences
Biomedical and clinical sciences
Health sciences
Language
Abstract
Conceptual frameworks are useful in research because they can highlight priority research domains, inform decisions about interventions, identify outcomes and factors to measure, and display how factors might relate to each other to generate and test hypotheses. Discovery, translational, and implementation research are all critical to the overall mission of genomic medicine and prevention, but they have yet to be organized into a unified conceptual framework. To fill this gap, our diverse team collaborated to develop the Genomic Medicine Integrative Research (GMIR) Framework, a simple but comprehensive tool to aid the genomics community in developing research questions, strategies, and measures and in integrating genomic medicine and prevention into clinical practice. Here we present the GMIR Framework and its development, along with examples of its use for research development, demonstrating how we applied it to select and harmonize measures for use across diverse genomic medicine implementation projects. Researchers can utilize the GMIR Framework for their own research, collaborative investigations, and clinical implementation efforts; clinicians can use it to establish and evaluate programs; and all stakeholders can use it to help allocate resources and make sure that the full complexity of etiology is included in research and program design, development, and evaluation.