Human Genome Programs of the National Institutes of Health
To aid in this area of the research, the Division of Extramural Research (DER) for NHGRI was established to support and manage the roles of the NIH in the HGP, to set the scientific priorities to be followed for HGP research, and to supervise peer-reviewed research projects on the human genome (NHGRI, 2004). The DER is advised by the NHGRI National Advisory Council for Human Genome Research (NACHGR), and the extramural research community. The DER oversees such major areas of human genome research as: the development of technologies for gene sequencing and mapping; the analysis of gene function and the proteins for which they encode; computer technology developed to manage and disseminate the data generated by the HGP; determining the crucial differences in the genetic makeup of individuals from each other; and the examination of ethical, legal, and moral implications arising from genetic research. Implicit in such oversight is control of the quality of HGP research.

Process-oriented quality measures are essential for maintaining the efficiency of sequencing and for generating reliable quality data (Rowan, Mahairas and Hood, 1997). Personnel need to be properly trained and sequencing precision is essential. Programs can assign a quality measure to each base in a consensus sequence. Contiguity can be controlled by sequence assembly programs, and by the succes

 
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In 1997 at the Second International Strategy Meeting on Human Genome Sequencing, the NHGRI reconfirmed the principles set out at the first meting in 1996 that sequence assemblies of 2 kb or larger should be released by participating laboratories within 24-hours of their generation (NHGRI, 2000). At this meeting, the scientists agreed on a set of quality control standards for human genome research (DOE, 2003). They agreed that: the nucleotide error rate should be 1 error in 10,000 bases or less for most sequences; assemblies should be verified by restriction digest using two or more restriction enzymes; the long term goal would be for no gaps in sequences; and closing gaps should be the responsibility of the participants. It was also agreed that data exchange would be performed to assess sequence accuracy, where raw sequence data would be exchanged among sequencing centers who would reassemble the data and identify discrepancies or ambiguities; all sequence reads would be archived in a retrievable form; and sequencing centers would define explicitly how they calculate error rates and costs. It was agreed that sequence annotation should be standardized and include: error estimation; enzymes used; details on how to assemble adjacent clones; gaps sized and the surrounding sequence oriented and ordered; methods used for sizing and reasons for not closing gaps disclosed; coding sequence and splice sites noted as identified experimentally or by computer; and for unfinished sequences, it should be stated how close they are to completion.

Cardiogenomics. (2003). Quality control (QC)/Quality assurance (QA). Http://cardiogenomics.med.harvard.edu/component-detail?project_id=240

Rowan, L., Mahairas, G., & Hood, L. (1997). Sequencing the human genome. Science, 278(5338): 605-607.

http://www.genome.gov/page.cfm?pageID=10000910

Fondon, J. W., Mele, G. M., Brezinschek, R. I., Cummings, D., Pande, A., Wren, J., O'Brien, K. M., Kupfer, K. C., Wei, M-H,

 
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    Sequencing NHGRI | NHGRI Standard | Quality Assessment | Whitehead Institute | Research NACHGR | Mahairas Hood | Energy DOE | Project HGP | Center SHGC | human genome | Research Institute | quality control | genome research | human genome research | genome project | genome research institute | research institute | national human | national human genome | human genome project | quality standards | sequence data | genome sequencing | human genome sequencing | participating centers |  
   
 
 
 
   
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