NEW YORK (GenomeWeb News) – The National Human Genome Research Institute plans to fund two research programs over the next two years supporting researchers who will create ways of handling and analyzing data from the 1000 Genomes Project.
The 1000 Genomes Project, a collaboration between NHGRI, the Beijing Genomics Institute Shenzhen, and the Wellcome Trust Sanger Institute, is focused on sequencing the genomes of between 1,200 and 1,500 people worldwide. That program should produce around 20 terabases of sequence data, according to NHGRI.
NHGRI said this week that it plans to issue a request for applications this fall to fund up to six awards in fiscal 2009 for data processing research. This program will seek applicants who will continue to develop, evaluate, and implement methods for producing data types; monitor and integrate data; and develop tools and processes needed to produce the final dataset for the project.
The work will be conducted under the 1000 Genome’s international collaborative consortium.
Data processing pipelines are already are being set up to use the sequence data, and these will need to be improved and monitored, and new processing steps will need to be added, NHGRI said. The complete dataset will need to be characterized in several ways, and will need to have several types of global analyses, and tools will be needed that can allow the research community to use the data, according to NHGRI.
The second RFA for analyzing the complete dataset will fund around ten awards in fiscal year 2010. The researchers may characterize and analyze allele frequency distribution and signals of natural election. The funding will go to develop tools that will be needed to work with data and apply them to other studies, such as genome-wide association studies. This RFA will be released in the fall of 2008 in order to allow applicants sufficient time to “develop meaningful collaborations and responsive projects.”
Neither of these programs will support using the 1000 Genomes data for the analysis of genetics of specific human diseases or other phenotypes.