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The NIH ENDGAME consortium.


The NIH "Not invented here." See digispeak.

NIH - The United States National Institutes of Health.
 has recently established a highly interactive consortium of 11 research groups on Enhancing Development of Genome-wide Association Methods (ENDGAME) to advance the utility of genome-wide association studies. The consortium (funded by the NHLBI NHLBI,
n.pr See National Heart, Lung, and Blood Institute.
, NIEHS NIEHS National Institute of Environmental Health Sciences (NIH, DHHS) , NCI See Liberate. , NHGRI, and NIGMS NIGMS National Institute of General Medical Sciences. ) brings together expertise in genetics, epidemiology, biostatistics, and bioinformatics to develop and test innovative, informative, and cost-effective study designs and analytical strategies for performing genome-wide association studies on complex diseases. Available resources such as the International Haplotype haplotype /hap·lo·type/ (-tip) the group of alleles of linked genes, e.g., the HLA complex, contributed by either parent; the haploid genetic constitution contributed by either parent.

hap·lo·type
n.
 Mapping (HapMap) data and single nucleotide polymorphism Noun 1. single nucleotide polymorphism - (genetics) genetic variation in a DNA sequence that occurs when a single nucleotide in a genome is altered; SNPs are usually considered to be point mutations that have been evolutionarily successful enough to recur in a  (SNP) discoveries along with improvements in genome technologies have increased the feasibility of genome-wide association studies for complex diseases. However, it has become increasingly apparent that a major barrier to successfully completing these studies is a lack of both appropriate analytical tools and understanding of which study designs and computational methods are most appropriate for particular study scenarios.

The NIEHS is most interested in the development of analytical tools and approaches that would allow identification of environmental components or covariates of complex diseases in genome-wide association studies. Although most common chronic diseases are the result of complex interactions between genes (G) and environmental (E) factors, most analytical approaches adopted for whole genome scans do not incorporate interactive effects with environmental factors. Studies have indicated that failure to account for G x E interactions in complex disease association analyses can decrease the power to find genetic disease loci and underestimate both the genetic and environmental effects of the disease. The NIEHS is therefore co-funding with the NCI two applications in this consortium, led by Dr. Duncan Thomas of the University of Southern California The U.S. News & World Report ranked USC 27th among all universities in the United States in its 2008 ranking of "America's Best Colleges", also designating it as one of the "most selective universities" for admitting 8,634 of the almost 34,000 who applied for freshman admission  and Dr. Charles Kooperberg of the Fred Hutchinson Cancer Center, that specifically focus on identifying study designs and analytical methods that will enhance the possibility of identifying gene-gene and gene-environment interactions. All strategies and tools developed through this consortium will be made available to the entire scientific community. The long-term goals of ENDGAME are to accelerate the identification of genetic susceptibility factors in human disease and the ultimate development of novel and individual disease prevention and treatment strategies through the advancement of genome-wide association study methodologies.

Contact

Kimberly A. McAllister, Ph.D.

mcallis2@niehs.nih.gov
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Title Annotation:NIEHS Extramural Update
Author:McAllister, Kimberly A.
Publication:Environmental Health Perspectives
Date:Jul 1, 2006
Words:362
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