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The uncertain road towards genomic medicine
Daniel G MacArthur1, Monkol Lek
1Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA. macarthur@atgu.mgh.harvard.edu
Trends in Genetics : TIG
|June 5, 2012
Summary
High-throughput biological data generation is advancing biology and medicine. However, significant challenges remain for the widespread adoption of genomic medicine.
Area of Science:
- Genomic Medicine
- Data-driven Biology
Background:
- Advancements in low-cost, high-throughput biological data generation are revolutionizing scientific research.
- These technological leaps are poised to significantly impact medical practices and patient care.
Purpose of the Study:
- To highlight the transformative potential of big biological data in medicine.
- To acknowledge the existing hurdles in the path toward genomic medicine.
Main Methods:
- Review of current trends in high-throughput biological data generation.
- Analysis of the implications for medical applications.
Main Results:
- Biological sciences are increasingly data-driven due to new technologies.
- Genomic medicine holds great promise but faces considerable obstacles.
Conclusions:
- The integration of biological data is reshaping scientific inquiry and clinical practice.
- Overcoming challenges is crucial for realizing the full potential of genomic medicine.
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