Year: 2014
Type: article
Abstract: Multi-center and multi-national collaborations are generating genomic, clinical and epidemiological datasets on ever increasing scales across global populations. Early examples include the international HapMap project and ongoing efforts include the 1000 Genomes Project, the genotyping and sequencing of whole populations or significant numbers of national of certain countries. The new initiatives include the UK10K project (http://www.uk10k.org), which aims to sequence thousands of genomes in Britain to identify rare variants and produce a sequence variation resource for future studies, the Qatar Genome Project, which will map the genomes of a large group of Qataris to chart a road map for future treatment through personalized medicine, and the Estonian Genome Project, which aims to generate data from 70% of Estonia's population. As a result of the broad sharing and analysis of these datasets, we are gaining new knowledge that is shedding novel insights into human history and health, such as the patho-biology of some of the world's most intractable diseases, and strategies for improving the efficacy and safety of treatments for several global diseases. Open sharing of data (with public access either directly or via data access committee, depending on the consent conditions) is thus extremely important for fully exploiting results and advancing research.
Source: Applied & Translational Genomics
Authors: Charles Rotimi, Nicola Mulder
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Award: G4878468429
OpenAlex ID: W2075536247