My goals for this project are to develop and use biostatistical, biomathematical and epidemiologic methods aimed at reducing cancer occurrence. The objectives of my research are twofold. First, I will develop new methods for the conduct of epidemiologic studies of cancer etiology in relation to personal characteristics, lifestyle elements and environmental exposures. Specifically, I will develop better ways to design and analyze studies with exposure errors, better ways to analyze combined data from multicenter studies, and better ways to search out unusual patterns in population-based cancer incidence data. Second, I will use these methods to collect and analyze data relating site-specific cancer occurrence to modifiable lifestyle elements and environmental exposures. Existing data for analyses include data from a prospective study of site-specific cancers in college men and women, data from case-control studies of cancers of the ovary, breast, and large bowel, and data from the Surveillance, Epidemiology and End Results (SEER) and California tumor registries. New data will be generated from a recently funded five-year study of nonHodgkin's lymphoma, and from future multicenter studies of cancers of the prostate and ovary.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Unknown (R35)
Project #
5R35CA047448-02
Application #
3479664
Study Section
Special Emphasis Panel (SRC (88))
Project Start
1989-04-01
Project End
1996-03-31
Budget Start
1990-04-01
Budget End
1991-03-31
Support Year
2
Fiscal Year
1990
Total Cost
Indirect Cost
Name
Stanford University
Department
Type
Schools of Medicine
DUNS #
800771545
City
Stanford
State
CA
Country
United States
Zip Code
94305
Oakley-Girvan, Ingrid; Feldman, David; Eccleshall, T Ross et al. (2004) Risk of early-onset prostate cancer in relation to germ line polymorphisms of the vitamin D receptor. Cancer Epidemiol Biomarkers Prev 13:1325-30
Whittemore, A S; Balise, R R; Pharoah, P D P et al. (2004) Oral contraceptive use and ovarian cancer risk among carriers of BRCA1 or BRCA2 mutations. Br J Cancer 91:1911-5
Andrulis, Irene L; Anton-Culver, Hoda; Beck, Jeanne et al. (2002) Comparison of DNA- and RNA-based methods for detection of truncating BRCA1 mutations. Hum Mutat 20:65-73
Shih, Mei-Chiung; Whittemore, Alice S (2002) Tests for genetic association using family data. Genet Epidemiol 22:128-45
Gong, Gail; Oakley-Girvan, Ingrid; Wu, Anna H et al. (2002) Segregation analysis of prostate cancer in 1,719 white, African-American and Asian-American families in the United States and Canada. Cancer Causes Control 13:471-82
Whittemore, A S; Halpern, J (2001) Problems in the definition, interpretation, and evaluation of genetic heterogeneity. Am J Hum Genet 68:457-65
Shih, M C; Whittemore, A S (2001) Allele-sharing among affected relatives: non-parametric methods for identifying genes. Stat Methods Med Res 10:27-55
Hsieh, C L; Oakley-Girvan, I; Balise, R R et al. (2001) A genome screen of families with multiple cases of prostate cancer: evidence of genetic heterogeneity. Am J Hum Genet 69:148-58
Whittemore, A S; Tu, I P (2000) Detection of disease genes by use of family data. I. Likelihood-based theory. Am J Hum Genet 66:1328-40
Gnagy, S; Ming, E E; Devesa, S S et al. (2000) Declining ovarian cancer rates in U.S. women in relation to parity and oral contraceptive use. Epidemiology 11:102-5

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