Title |
Success stories in genomic medicine from resource-limited countries
|
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Published in |
Human Genomics, June 2015
|
DOI | 10.1186/s40246-015-0033-3 |
Pubmed ID | |
Authors |
Konstantinos Mitropoulos, Hayat Al Jaibeji, Diego A. Forero, Paul Laissue, Ambroise Wonkam, Catalina Lopez-Correa, Zahurin Mohamed, Wasun Chantratita, Ming Ta Michael Lee, Adrian Llerena, Angela Brand, Bassam R. Ali, George P. Patrinos |
Abstract |
In recent years, the translation of genomic discoveries into mainstream medical practice and public health has gained momentum, facilitated by the advent of new technologies. However, there are often major discrepancies in the pace of implementation of genomic medicine between developed and developing/resource-limited countries. The main reason does not only lie in the limitation of resources but also in the slow pace of adoption of the new findings and the poor understanding of the potential that this new discipline offers to rationalize medical diagnosis and treatment. Here, we present and critically discuss examples from the successful implementation of genomic medicine in resource-limited countries, focusing on pharmacogenomics, genome informatics, and public health genomics, emphasizing in the latter case genomic education, stakeholder analysis, and economics in pharmacogenomics. These examples can be considered as model cases and be readily replicated for the wide implementation of pharmacogenomics and genomic medicine in other resource-limited environments. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Colombia | 5 | 33% |
Nigeria | 2 | 13% |
United Kingdom | 2 | 13% |
Spain | 1 | 7% |
Tanzania, United Republic of | 1 | 7% |
United States | 1 | 7% |
Mexico | 1 | 7% |
Unknown | 2 | 13% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 7 | 47% |
Members of the public | 7 | 47% |
Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
South Africa | 2 | 2% |
Argentina | 1 | <1% |
Unknown | 114 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 21 | 18% |
Researcher | 19 | 16% |
Student > Ph. D. Student | 12 | 10% |
Student > Doctoral Student | 8 | 7% |
Professor | 6 | 5% |
Other | 27 | 23% |
Unknown | 24 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 31 | 26% |
Biochemistry, Genetics and Molecular Biology | 17 | 15% |
Agricultural and Biological Sciences | 13 | 11% |
Social Sciences | 5 | 4% |
Pharmacology, Toxicology and Pharmaceutical Science | 5 | 4% |
Other | 20 | 17% |
Unknown | 26 | 22% |