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이종 데이터 통합을 통한 복합형질 분석
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| Abstract : A key object of biomedical research is to elucidate the complex gene interactions underlying complex traits such as common human disease. Recently 'genetical genomics approach' that use microarray expression data to measure the influence of genetic variation on gene expression has been established. Such an integration of the two heterogeneous genomic data have offered different perspective on complex trait analysis. In this research, we developed a multistep methodology with applying set-wise genetical genomics approach to uncovers polygenic interaction of complex trait. First we extracted CGS (complex-trait-related gene set) by correlation test from microarray data. Then we performed genome-wide DACE(differential allelic co-expression) test to find strongly associated genetic variant and gene set pair. Combining the results of two test by anchoring CGS, this approach can offer number of genetic markers associated with complex model. |
| keyword : complex trait, genetical genomics, integration, heterogeneous data, polygenic interaction |
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