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Mapping the Qatari genome heralds new era of precision medicine

Mapping the Qatari genome heralds new era of precision medicine

Publication Date:
30/06/16 1:16 PM
Category:
Press Release
Department Grouping:
High Quality Research
Department:
Research Governance
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 Qatar now has its own population-specific genome resource after researchers at Weill Cornell Medicine-Qatar (WCM-Q) mapped the genomes of more than 1,000 Qatari nationals. This resource gives scientists a powerful reference tool that will facilitate efforts to identify genetic variations that cause serious and distressing conditions such as cystic fibrosis, sickle cell anemia and muscular dystrophy among the local population.

The new resource will also help doctors treating Qatari nationals to more effectively practice ‘precision medicine,’ which involves analyzing a patient’s genome in order to more effectively predict, diagnose and treat disease. Furthermore, better understanding of the subtle variations in Qatari genomes will help researchers discover how certain ancestral genetic traits interact with environmental factors such as poor diet, lack of exercise and smoking to cause disease.

The completion of the project is an important milestone in a new phase of genetic research, which has progressed from mapping the entire human genome - first achieved in 2003 after 13 years of painstaking investigation - to focusing on specific populations to identify correlations between shared heritage and susceptibility to particular diseases. This project is considered the most significant resource of genetic variants in any Arab population to date. The project is part of a series of research studies investigating the Qatari population led by Dr. Ronald Crystal, Chairman of Genetic Medicine at Weill Cornell Medicine in New York and one of the world’s leading genetic researchers.

Dr. Crystal said: “This study is the first step in the development of precision medicine in Qatar. Our genes decide how we respond to our environment and our risk for disease, and the variations in our genes are different for each population. With this initial description of the Qatari genome as a basis, and with future refinements to be made by the Qatari Genome Project, we now have the basis for defining the genetic risk of the Qatari population for disease, and how Qataris will respond to medical therapies.”

The project, entitled The Qatar Genome: A Population-Specific Tool for Precision Medicine in the Middle East, is the work of a research team comprising scientists from WCM-Q, Weill Cornell Medicine in New York, Sidra Medical and Research Center, the Laboratory of Medicine and Pathology at Hamad Medical Corporation and the Department of Biological Statistics and Computational Biology at Cornell University at Ithaca in the United States. The research team gathered samples anonymously from a total of more than 1,000 Qatari nationals at Hamad Medical Corporation clinics and then used the advanced computing technology in the lab of the WCM-Q Genomics Core to analyze and map the genomes of each individual.

Earlier projects in the series identified three broad genomic groups within the Qatari population, termed Q1, Q2 and Q3. Q1 are largely Bedouins, while Q2 are a Persian or South Asian mixture, and Q3 are Qataris with sub-Saharan African heritage. In the latest study, higher resolution of ancestry was achieved; for example, individuals of Persian ancestry can now be distinguished from individuals of South Asian ancestry. This genetic diversity is important to recognize and understand as each group is likely to be susceptible to different conditions and react to environmental hazards in different ways.

Source Credit: Qatar is Booming



As the National Health Strategy Program 2011-2016 draws to a close, project information is currently being updated and will be available in the coming weeks.

For enquiries please contact the Program Management Office at the Ministry of Public Health.

Key Partners

  • The Ministry of Public Health [MoPH]
  • All institutions involved in biomedical and social/behavioural research

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