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Full Description
Population Genomics in the Developing World: Concepts, Applications, and Challenges, a new volume in the Translational and Applied Genomics series, provides a comprehensive, up-to-date summary of the field of population genomics in developing countries. This book equips students, researchers, and clinicians with the practical skills and approaches necessary to face the unique challenges and opportunities of practicing population genomics in developing countries. Following a brief foundational overview, more than a dozen authors working in developing nations share applied case studies from the field, including rationale, methods, analysis, and outcomes to reinforce understanding. Key themes across the country-specific chapters include efficient genetic data generation and effective computational and statistical tools to analyze population-level data. This book then discusses clinical interpretation of these data, from direct-to-consumer ancestry testing to translational and applied precision medicine. A final chapter considers the ethical aspects of conducting genomic research in developing countries.
Contents
1. Population genomics - The fundamentals
2. Why focus on population genomics in developing countries?
3. Contribution of large consortia studies to population genomics in the developing world: Examples from Africa and South Asia
4. Implementing genomics research in developing countries: Common challenges, and emerging solutions
5. Next-generation sequencing technologies: Implementation in developing countries
6. Computational disease-risk prediction: Tools and statistical approaches
7. Genotype versus phenotype versus environment
8. Implementing population pharmacogenomics: Tailoring drug therapy for diverse populations
9. Direct-to-consumer (DTC) genetic testing and the population genomics industry
10. Clinical translation of genomics research in Africa - Mainstreaming medical ethics, equity, genetics education, and public engagement
11. The future of population genomics in developing countries
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