The objective of this renewal proposal is to continue developing and implementing new statistical methodology useful for genetic epidemiological studies of complex chronic diseases including cancer, allergy and psychiatric disorders. The focus will be on the development of new statistical methods for Analyzing multivariate survival data, which occurs frequently when family data are collected, with emphasis on methods that appropriately treat death as competing with disease onset times, as opposed to censoring them; Mapping disease genes for complex diseases using multipoint linkage method or the association study method; Mapping disease genes for quantitative traits in large, complex pedigrees. For each of these specific aims, we will Evaluate existing statistical methods and point out their limitations and the impact of these on drawing valid inferences; Develop and study both analytically and empirically, new statistical methods that are appropriate to address these issues; Apply these new statistical methods to actual data sets of a variety of complex diseases, which have motivated this proposed research; Develop and distribute software to implement these new statistical techniques. The work proposed here will contribute, as we have in the past, statistical methodology to the field of genetic epidemiology in general and offer insight into each of the clinical areas represented by the various data sets used to illustrate these new methods.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
5R01GM049909-11
Application #
6687719
Study Section
Special Emphasis Panel (ZRG1-SNEM-5 (01))
Program Officer
Anderson, Richard A
Project Start
1993-08-01
Project End
2005-11-30
Budget Start
2003-12-01
Budget End
2005-11-30
Support Year
11
Fiscal Year
2004
Total Cost
$334,766
Indirect Cost
Name
Johns Hopkins University
Department
Biostatistics & Other Math Sci
Type
Schools of Public Health
DUNS #
001910777
City
Baltimore
State
MD
Country
United States
Zip Code
21218
Chiou, Jeng-Min; Liang, Kung-Yee; Chiu, Yen-Feng (2005) Multipoint linkage mapping using sibpairs: non-parametric estimation of trait effects with quantitative covariates. Genet Epidemiol 28:58-69
Liang, Kung-Yee; Chiu, Yen-Feng (2005) Multipoint linkage disequilibrium mapping using case-control designs. Genet Epidemiol 29:365-76
Chen, Wei-Min; Broman, Karl W; Liang, Kung-Yee (2005) Power and robustness of linkage tests for quantitative traits in general pedigrees. Genet Epidemiol 28:11-23
Chiu, Yen-Feng; Liang, Kung-Yee (2004) Conditional multipoint linkage analysis using affected sib pairs: an alternative approach. Genet Epidemiol 26:108-15
Chen, Wei-Min; Broman, Karl W; Liang, Kung-Yee (2004) Quantitative trait linkage analysis by generalized estimating equations: unification of variance components and Haseman-Elston regression. Genet Epidemiol 26:265-72
Hsu, Fang-Chi; Liang, Kung-Yee; Beaty, Terri H (2003) Multipoint linkage disequilibrium mapping approach: incorporating evidence of linkage and linkage disequilibrium from unlinked region. Genet Epidemiol 25:1-13
Glidden, David V; Liang, Kung-Yee; Chiu, Yen-Feng et al. (2003) Multipoint affected sibpair linkage methods for localizing susceptibility genes of complex diseases. Genet Epidemiol 24:107-17
Liang, Kung-Yee; Hsu, Fang-Chi; Beaty, Terri H (2003) Multipoint linkage disequilibrium mapping for complex diseases. Genet Epidemiol 25:285-92
Hsu, Fang-Chi; Liang, Kung-Yee; Beaty, Terri H et al. (2002) Unified sampling approach for multipoint linkage disequilibrium mapping of qualitative and quantitative traits. Genet Epidemiol 22:298-312
Glidden, David V; Liang, Kung-Yee (2002) Ascertainment adjustment in complex diseases. Genet Epidemiol 23:201-8

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