This application requests renewed funding for a project to develop reagents for testing specific genes for association with cancer predisposition. In the initially funded application, efforts were focused on development of genomic sequence data from numerous genes with known or suspected involvement in cancer predisposition, and on the development of reagents capable of detecting variation at these loci in pilot studies. The initial request was for three years of funding. The rationale for the short time frame was in part due to the rapid changes in human genome sequencing program (HGP), such that the utility of the proposed sequencing efforts might be diminished by the rapid advancement of the HGP. Moreover, the ability to develop and characterize SNPs at the loci of interest, and their potential utility in defining haplotypes were both unknown. In this request for renewed funding, the role of genomic sequencing has been reduced to """"""""finishing"""""""" clones in order to provide high quality, contiguous sequence for genes with suspected cancer involvement. Improved methods for the identification and typing of SNPs are proposed in order to accelerate these efforts. Finally, subcontracts with experts in population and statistical genetics are included that will provide improved approaches to the design and execution of association studies based on complex haplotypes. This addition to the project is essential for the final aim of pilot association studies. The project is composed of the following aims: 1. Sequencing of the target genes initiated in the project will be completed. 2. Identification of SNPs will continue, through the use of publicly accessible database entries, and by direct identification, resulting in genetic reagents available for association studies for 25 additional genes. 3. Methods will be developed to improve detection and typing of SNPs in the targeted loci. 4. Methods for improved haplotype inferences from multiple SNP site genotype data will be developed. 5. Methods will be developed to utilize haplotypes associated with phenotype to locate and identify possible site of variation responsible for the phenotype. 6. Pilot association studies with the markers and haplotypes developed will be initiated.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA075432-07
Application #
6711129
Study Section
Special Emphasis Panel (ZRG1-GEN (01))
Program Officer
Couch, Jennifer A
Project Start
1997-09-22
Project End
2006-03-31
Budget Start
2004-05-10
Budget End
2005-03-31
Support Year
7
Fiscal Year
2004
Total Cost
$579,009
Indirect Cost
Name
Baylor College of Medicine
Department
Genetics
Type
Schools of Medicine
DUNS #
051113330
City
Houston
State
TX
Country
United States
Zip Code
77030
Peng, Bo; Amos, Christopher I; Kimmel, Marek (2007) Forward-time simulations of human populations with complex diseases. PLoS Genet 3:e47
Peng, Bo; Kimmel, Marek (2007) Simulations provide support for the common disease-common variant hypothesis. Genetics 175:763-76
Gorlov, Ivan P; Kimmel, Marek; Amos, Christopher I (2006) Strength of the purifying selection against different categories of the point mutations in the coding regions of the human genome. Hum Mol Genet 15:1143-50
Polanska, Joanna; Kimmel, Marek (2005) A simple model of linkage disequilibrium and genetic drift in human genomic SNPs: importance of demography and SNP age. Hum Hered 60:181-95
Polanski, A; Bobrowski, A; Kimmel, M (2003) A note on distributions of times to coalescence, under time-dependent population size. Theor Popul Biol 63:33-40
Polanski, A; Kimmel, M (2003) New explicit expressions for relative frequencies of single-nucleotide polymorphisms with application to statistical inference on population growth. Genetics 165:427-36
Bobrowski, Adam; Wang, Ning; Chakraborty, Ranajit et al. (2002) Non-homogeneous infinite sites model under demographic change: mathematical description and asymptotic behavior of pairwise distributions. Math Biosci 175:83-115
Bonnen, Penelope E; Wang, Peggy J; Kimmel, Marek et al. (2002) Haplotype and linkage disequilibrium architecture for human cancer-associated genes. Genome Res 12:1846-53
Olofsson, Peter; Shaw, Chad A (2002) Exact sampling formulas for multi-type Galton-Watson processes. J Math Biol 45:279-93
Trikka, Dimitra; Fang, Zhe; Renwick, Alex et al. (2002) Complex SNP-based haplotypes in three human helicases: implications for cancer association studies. Genome Res 12:627-39

Showing the most recent 10 out of 11 publications