Inflammation is one of the most basic responses linked to a wide variety of common human disorders including asthma, chronic obstructive pulmonary disease, coronary artery disease and stroke. In this application, the investigators propose a joint program between the University of Washington and the Fred Hutchinson Cancer Research Center (UW-FHCRC) to establish a Variation Discovery Resource (VDR) focused on finding single nucleotide polymorphisms (SNPs) in the genes and pathways underlying inflammatory responses in humans. The goals are: (1) to establish a high throughput variation discovery group that will scan more than 200 of the genes involved in inflammation; (2) to identify the common variable sites, their relative frequencies, and haplotypes in these genes for two populations having different evolutionary historics; (3) to rapidly disseminate this information to the biomedical community via national databases such as dbSNP and Genbank, and by a resource generated website; and (4) to establish a training and education program on human variation analysis that provides on-site training as well as a formalized workshop. Overall, the studies will provide a wealth of new information for testing the important relationships that exist between variations in human DNA sequence, and variations in risk for common human diseases.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Project--Cooperative Agreements (U01)
Project #
5U01HL066642-03
Application #
6527826
Study Section
Special Emphasis Panel (ZHL1-CSR-L (S2))
Program Officer
Ye, Jane
Project Start
2000-09-30
Project End
2004-07-31
Budget Start
2002-08-01
Budget End
2003-07-31
Support Year
3
Fiscal Year
2002
Total Cost
$226,670
Indirect Cost
Name
Fred Hutchinson Cancer Research Center
Department
Type
DUNS #
075524595
City
Seattle
State
WA
Country
United States
Zip Code
98109
Dumitrescu, Logan; Glenn, Kimberly; Brown-Gentry, Kristin et al. (2011) Variation in LPA is associated with Lp(a) levels in three populations from the Third National Health and Nutrition Examination Survey. PLoS One 6:e16604
Miljkovic, I; Yerges-Armstrong, L M; Kuller, L H et al. (2010) Association analysis of 33 lipoprotein candidate genes in multi-generational families of African ancestry. J Lipid Res 51:1823-31
Zerr, Troy; Cooper, Gregory M; Eichler, Evan E et al. (2010) Targeted interrogation of copy number variation using SCIMMkit. Bioinformatics 26:120-2
Enquobahrie, Daniel A; Rice, Kenneth; Williams, O Dale et al. (2009) IL1B genetic variation and plasma C-reactive protein level among young adults: the CARDIA study. Atherosclerosis 202:513-20
Mefford, Heather C; Cooper, Gregory M; Zerr, Troy et al. (2009) A method for rapid, targeted CNV genotyping identifies rare variants associated with neurocognitive disease. Genome Res 19:1579-85
Crawford, D C; Zheng, N; Speelmon, E C et al. (2009) An excess of rare genetic variation in ABCE1 among Yorubans and African-American individuals with HIV-1. Genes Immun 10:715-21
Reiner, Alexander P; Gross, Myron D; Carlson, Christopher S et al. (2009) Common coding variants of the HNF1A gene are associated with multiple cardiovascular risk phenotypes in community-based samples of younger and older European-American adults: the Coronary Artery Risk Development in Young Adults Study and The Cardiovascula Circ Cardiovasc Genet 2:244-54
Reiner, Alexander P; Carlson, Christopher S; Thyagarajan, Bharat et al. (2008) Soluble P-selectin, SELP polymorphisms, and atherosclerotic risk in European-American and African-African young adults: the Coronary Artery Risk Development in Young Adults (CARDIA) Study. Arterioscler Thromb Vasc Biol 28:1549-55
Keating, Brendan J; Tischfield, Sam; Murray, Sarah S et al. (2008) Concept, design and implementation of a cardiovascular gene-centric 50 k SNP array for large-scale genomic association studies. PLoS One 3:e3583
Bhangale, Tushar R; Rieder, Mark J; Nickerson, Deborah A (2008) Estimating coverage and power for genetic association studies using near-complete variation data. Nat Genet 40:841-3

Showing the most recent 10 out of 24 publications