even more detailed catalog in the approximately 2 percent of the genome that is comprised of protein-coding genes During its two-year production phase, the 1000 Genomes Project will deliver sequence data at an average rate of about 8. 2 billion bases per day, the equivalent of more than two human genomes every 24 hours. The volume of data-and the interpretation of those data-will pose a major challenge for leading experts in the fields of bioinformatics and statistical genetics This project will examine the human genome in a detail that has never been attempted- the scale is immense. At 6 trillion DNa bases, the 1000 Genomes Project will generate 60-fold more sequence data over its three-year course than have been deposited into public dna databases over the past 25 years, said Gil Mc Vean, Ph. D, of the University of Oxford in England, one of the co-chairs of the consortiums analysis group. " In fact, when up and running at full speed, this project will generate more sequence in two days than was added to public databases for all of the past year. The 1000 Genomes Project will use samples from volunteer donors who gave informed consent for their dNa to be analyzed and placed in public databases NHGRI and its partners will follow the extensive and careful ethical procedures established for previous projects. As was the case for the International Hap Map Project and Human Genome Project, the 1000 Genomes Project will have an expert working group devoted to examining the ethical, legal and social issues related to its research The first thousand samples for the 1000 Genomes Project will come from those used for the HapMap and from additional samples in the extended HapMap set, which used he same collection processes. No medical or personal identifying information was obtained from the donors, and the samples are labeled only by the population from which they were collected. The donors'anonymity was enhanced by recruiting more donors than were actually used. Similar processes will be used for collecting additional samples for the 1000 Genomes Project mong the populations whose dNa will be sequenced in the 1000 Genomes Project are: Yoruba in Ibadan, Nigeria; Japanese in Tokyo; Chinese in Beijing; Utah residents with ancestry from northern and western Europe; Luhya in Webuye, Kenya; Maasai in Kinyawa, Kenya; Toscani in Italy; Gujarati Indians in Houston; Chinese in metropolitan Denver; people of Mexican ancestry in Los Angeles; and people of African ancestry in the southwestern United States This project reinforces our commitment to transform genomic information into tools that medical research can use to understand common disease said Jun Wang Ph. D associate director of BGI Shenzhen, whose laboratory will participate in the 1000 Genomes Project and which also took part in the HapMap Project. " It will benefit all nations by creating a valuable resource for researchers around the globe The detailed map of human genetic variation will be used by many researchers seeking to relate genetic variation to particular diseases. In turn, such research will lay the groundwork for the personal genomics era of medicine, in which people routinely4 even more detailed catalog in the approximately 2 percent of the genome that is comprised of protein-coding genes. During its two-year production phase, the 1000 Genomes Project will deliver sequence data at an average rate of about 8.2 billion bases per day, the equivalent of more than two human genomes every 24 hours. The volume of data – and the interpretation of those data – will pose a major challenge for leading experts in the fields of bioinformatics and statistical genetics. “This project will examine the human genome in a detail that has never been attempted – the scale is immense. At 6 trillion DNA bases, the 1000 Genomes Project will generate 60-fold more sequence data over its three-year course than have been deposited into public DNA databases over the past 25 years,” said Gil McVean, Ph.D., of the University of Oxford in England, one of the co-chairs of the consortium’s analysis group. “In fact, when up and running at full speed, this project will generate more sequence in two days than was added to public databases for all of the past year.” The 1000 Genomes Project will use samples from volunteer donors who gave informed consent for their DNA to be analyzed and placed in public databases. NHGRI and its partners will follow the extensive and careful ethical procedures established for previous projects. As was the case for the International HapMap Project and Human Genome Project, the 1000 Genomes Project will have an expert working group devoted to examining the ethical, legal and social issues related to its research. The first thousand samples for the 1000 Genomes Project will come from those used for the HapMap and from additional samples in the extended HapMap set, which used the same collection processes. No medical or personal identifying information was obtained from the donors, and the samples are labeled only by the population from which they were collected. The donors’ anonymity was enhanced by recruiting more donors than were actually used. Similar processes will be used for collecting additional samples for the 1000 Genomes Project. Among the populations whose DNA will be sequenced in the 1000 Genomes Project are: Yoruba in Ibadan, Nigeria; Japanese in Tokyo; Chinese in Beijing; Utah residents with ancestry from northern and western Europe; Luhya in Webuye, Kenya; Maasai in Kinyawa, Kenya; Toscani in Italy; Gujarati Indians in Houston; Chinese in metropolitan Denver; people of Mexican ancestry in Los Angeles; and people of African ancestry in the southwestern United States. “This project reinforces our commitment to transform genomic information into tools that medical research can use to understand common disease,” said Jun Wang, Ph.D., associate director of BGI Shenzhen, whose laboratory will participate in the 1000 Genomes Project and which also took part in the HapMap Project. “It will benefit all nations by creating a valuable resource for researchers around the globe.” The detailed map of human genetic variation will be used by many researchers seeking to relate genetic variation to particular diseases. In turn, such research will lay the groundwork for the personal genomics era of medicine, in which people routinely