This project is to develop statistical methods for the analysis of the genetic basis of complex diseases with variable age of onset. For complex diseases, disease susceptibility usually is dictated by the interplay of multiple genes and multiple non-genetic factors such as environmental exposures. In the past few years there are many statistical developments for finding genes linked to complex diseases, for example, linkage disequilibrium mapping and linkage analysis have been used for localizing major susceptibility genes. The major goal of this application is to propose novel methods for population-based association studies that will improve our ability to detect susceptibility alleles for common complex diseases. In particular, they will address the following areas: (1) Studies have suggested that disease genes influence not only the occurrence of the disease, but also the age of onset. Modeling the age of onset is important to understanding the genetic factor of these diseases. Simply treating the disease outcome as affected vs. unaffected may lose information as some unaffected subjects at the time of study may be carriers of a predisposing disease gene. The first goal of this project is to develop statistical models that apply survival analysis methods in population-based designs that incorporate the age of onset of diseases with both genetic markers and environmental risk as covariates. (2) For population-based association studies, the gene effects are often confounded by population stratification. Our proposed methods will be robust to population stratification. (3) By the use of tightly linked markers, particularly single-nucleotide polymorphisms, we will develop new methods that test the association between traits and one or more haplotypes while incorporating the age of onset information and environmental risk factors. The proposed methodology will be implemented as user-friendly software. The documentation, distribution and support of the software will be provided.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Small Research Grants (R03)
Project #
5R03AG024491-02
Application #
6940633
Study Section
National Institute on Aging Initial Review Group (NIA)
Program Officer
Mccormick, Anna M
Project Start
2004-09-01
Project End
2007-08-31
Budget Start
2005-09-01
Budget End
2007-08-31
Support Year
2
Fiscal Year
2005
Total Cost
$70,891
Indirect Cost
Name
Michigan Technological University
Department
Biostatistics & Other Math Sci
Type
Schools of Arts and Sciences
DUNS #
065453268
City
Houghton
State
MI
Country
United States
Zip Code
49931
Wang, Xuexia; Zhang, Shuanglin; Sha, Qiuying (2009) A new association test to test multiple-marker association. Genet Epidemiol 33:164-71
Zhang, Zhaogong; Zhang, Shuanglin; Wong, Man-Yu et al. (2008) An ensemble learning approach jointly modeling main and interaction effects in genetic association studies. Genet Epidemiol 32:285-300
Martin, Lisa J; Woo, Jessica G; Avery, Christy L et al. (2007) Multiple testing in the genomics era: findings from Genetic Analysis Workshop 15, Group 15. Genet Epidemiol 31 Suppl 1:S124-31
Feng, Tao; Zhang, Shuanglin; Sha, Qiuying (2007) Two-stage association tests for genome-wide association studies based on family data with arbitrary family structure. Eur J Hum Genet 15:1169-75
Zhang, Zhaogong; Zhang, Shuanglin; Sha, Qiuying (2007) A multi-marker test based on family data in genome-wide association study. BMC Genet 8:65
Sha, Qiuying; Chen, Huann-Sheng; Zhang, Shuanglin (2007) A new association test using haplotype similarity. Genet Epidemiol 31:577-93
Sha, Qiuying; Zhang, Xihuan; Zhu, Xiaofeng et al. (2006) Analytical correction for multiple testing in admixture mapping. Hum Hered 62:55-63
Sha, Qiuying; Zhu, Xiaofeng; Zuo, Yijun et al. (2006) A combinatorial searching method for detecting a set of interacting loci associated with complex traits. Ann Hum Genet 70:677-92
Sha, Qiuying; Dong, Jianping; Jiang, Renfang et al. (2005) Tests of association between quantitative traits and haplotypes in a reduced-dimensional space. Ann Hum Genet 69:715-32
Sha, Qiuying; Dong, Jianping; Jiang, Renfang et al. (2005) Haplotype sharing transmission/disequilibrium tests that allow for genotyping errors. Genet Epidemiol 28:341-51

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