Localized Correlation Analysis and Genetic Association with Cardiovascular Disease

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Hauser, Elizabeth R

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Ou, Chern-Han

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2010-05-13T17:49:41Z

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2010-05-13T17:49:41Z

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2010

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Computational Biology and Bioinformatics

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Variations in gene expression are potential risk factors for atherosclerosis, which is one of the most common forms of cardiovascular disease. We performed a localized Pearson correlation test in 372 individuals from seven datasets relevant to cardiovascular disease studies. The genomes of samples were separated into 20Mb windows and correlation tests were performed locally in these windows. The localized Pearson correlation test found chr3:115Mb–135Mb was tightly connected by significantly high proportion of highly correlated pairs (P value = 0.0266 with Z-test). LSAMP, GATA2, MBD4, and other genes in the region were considered associated with cardiovascular disease because they were involved in highly correlated pairs. Furthermore, these genes were also associated with cardiovascular disease by having significantly high SNP odds ratios (P value < 0.1) between patients and controls in an independent Duke University Medical Center database. In addition, a permutation test was performed to demonstrate that chr3:115Mb–135Mb might underlie the regulation of cardiovascular disease. Finally, the localized Pearson correlation test also found some other regions that could be associated with cardiovascular disease.

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8483044 bytes

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application/pdf

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https://hdl.handle.net/10161/2501

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en_US

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Biology, Bioinformatics

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Biology, Genetics

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Biology, Biostatistics

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Cardiovascular Disease

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Correlation

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Gene expression

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Genetics

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Genomics

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Localized Correlation Analysis and Genetic Association with Cardiovascular Disease

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Master's thesis

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