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http://dx.doi.org/10.3745/KIPSTD.2011.18D.2.089

Genome-Wide Association Study between Copy Number Variation and Trans-Gene Expression by Protein-Protein Interaction-Network  

Park, Chi-Hyun (연세대학교 컴퓨터과학과)
Ahn, Jae-Gyoon (연세대학교 컴퓨터과학과)
Yoon, Young-Mi (가천의과학대학교 정보공학과)
Park, Sang-Hyun (연세대학교 컴퓨터과학과)
Abstract
The CNV (Copy Number Variation) which is one of the genetic structural variations in human genome is closely related with the function of gene. In particular, the genome-wide association studies for genetic diseased persons have been researched. However, there have been few studies which infer the genetic function of CNV with normal human. In this paper, we propose the analysis method to reveal the functional relationship between common CNV and genes without considering their genomic loci. To achieve that, we propose the data integration method for heterogeneity biological data and novel measurement which can calculate the correlation between common CNV and genes. To verify the significance of proposed method, we has experimented several verification tests with GO database. The result showed that the novel measurement had enough significance compared with random test and the proposed method could systematically produce the candidates of genetic function which have strong correlation with common CNV.
Keywords
Copy Number Variation; Trans-gene; Genome-Wide Association Study; Protein-Protein Interaction Network;
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