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The dark genome and pleiotropy: challenges for precision medicine
Steve D M Brown1, Heena V Lad2
1MRC Harwell Institute, Harwell, OX11 0RD, UK. s.brown@har.mrc.ac.uk.
Summary
Understanding the function of most genes, the "dark genome," is crucial for interpreting genetic variation and disease. The International Mouse Phenotyping Consortium is illuminating gene function and pleiotropy through large-scale phenotyping.
Area of Science:
- Genomics and Functional Genomics
- Systems Biology
- Translational Medicine
Background:
- A significant portion of the human and mouse genomes, termed the "dark genome," remains functionally uncharacterized.
- Limited knowledge of gene function and pleiotropy (how variants affect multiple phenotypes) hinders understanding of genetic variation's impact on disease.
- This knowledge gap compromises efforts in disease genetics, therapeutic development, and precision medicine.
Purpose of the Study:
- To address the challenge of the dark genome and limited understanding of pleiotropy.
- To highlight the necessity of international collaboration for high-dimensional phenotype data acquisition and analysis in model organisms.
- To showcase the International Mouse Phenotyping Consortium's approach to functional genomics at a genome-wide scale.
Main Methods:
- Acquisition and analysis of high-dimensional phenotype data from model organisms.
- Genome-wide functional genomics programs.
- Coordinated international research efforts.
Main Results:
- Revealing novel features of the pleiotropic landscape across the genome.
- Advancing the understanding of gene function and its role in complex disease systems.
- Providing a framework for illuminating the dark genome.
Conclusions:
- Illuminating the dark genome and understanding pleiotropy are essential for advancing biomedical research and healthcare.
- Large-scale, coordinated functional genomics initiatives, like the International Mouse Phenotyping Consortium, are critical for achieving these goals.
- The study provides insights into the complex pleiotropic landscape, paving the way for improved disease gene interpretation and therapeutic strategies.
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