Genetic epidemiology of cancers is on the verge of burgeoning. Recent advances in genetic technology allow epidemiologist to readily to obtain information on environmental risk factors as well as genetic markers in population-based studies involving families. In order to quantify relevant information from complex human pedigree data, development of statistical methods becomes more important that ever before. The broad objective of this proposal is to develop several statistical methods for genetic epidemiology of cancer, involving population-based cohort with pedigree information. These statistical methods will be applied to a population- based pedigree cohort of multi-ethnic groups in Hawaii. The results from the analysis will reveal patterns of familial aggregation of all major cancers. AS a long term objective, this project will provide leads to further research investigating roles of genes and environmental factors in cancer etiology. The proposal has seven aims. The first four aims are to establish four relevant statistical methods for the human pedigree analysis. The fifth aim is to evaluate case-control and diseased-proband ascertainment methods. The sixth aim is to investigate a two-stage ascertainment method that takes advantage of available cohort information. The seventh aim is to apply all these methods to the cohort data described above. The results from the analysis will suggest what type of cancers aggregates within families and how cancer is aggregated.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
First Independent Research Support & Transition (FIRST) Awards (R29)
Project #
5R29CA055670-05
Application #
2096786
Study Section
Special Emphasis Panel (SSS (R1))
Project Start
1992-05-01
Project End
1997-02-28
Budget Start
1995-03-01
Budget End
1996-02-29
Support Year
5
Fiscal Year
1995
Total Cost
Indirect Cost
Name
Fred Hutchinson Cancer Research Center
Department
Type
DUNS #
075524595
City
Seattle
State
WA
Country
United States
Zip Code
98109
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Zhao, L P; Hsu, L; Davidov, O et al. (1997) Population-based family study designs: an interdisciplinary research framework for genetic epidemiology. Genet Epidemiol 14:365-88
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Hsu, L; Zhao, L P (1996) Assessing familial aggregation of age at onset, by using estimating equations, with application to breast cancer. Am J Hum Genet 58:1057-71
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Zhao, L P; Grove, J S; Quiaoit, F (1993) Evaluation of the sampling plan used in collecting data for a study of LDL subclass pattern. Genet Epidemiol 10:635-40
Grove, J S; Zhao, L P; Quiaoit, F (1993) Correlation analysis of twin data with repeated measures based on generalized estimating equations. Genet Epidemiol 10:539-44
Zhao, L P; Grove, J; Quiaoit, F (1992) A method for assessing patterns of familial resemblance in complex human pedigrees, with an application to the nevus-count data in Utah kindreds. Am J Hum Genet 51:178-90