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dc.contributor.authorShia, Wei-Chungen_US
dc.contributor.authorKu, Tien-Hsiungen_US
dc.contributor.authorTsao, Yu-Mingen_US
dc.contributor.authorHsia, Chien-Hsunen_US
dc.contributor.authorChang, Yung-Mingen_US
dc.contributor.authorHuang, Ching-Huien_US
dc.contributor.authorChung, Yeh-Chingen_US
dc.contributor.authorHsu, Shih-Lanen_US
dc.contributor.authorLiang, Kae-Woeien_US
dc.contributor.authorHsu, Fang-Rongen_US
dc.date.accessioned2014-12-08T15:22:30Z-
dc.date.available2014-12-08T15:22:30Z-
dc.date.issued2011-11-30en_US
dc.identifier.issn1471-2164en_US
dc.identifier.urihttp://dx.doi.org/S23en_US
dc.identifier.urihttp://hdl.handle.net/11536/15900-
dc.description.abstractBackground: Cardiovascular disease is the chief cause of death in Taiwan and many countries, of which myocardial infarction (MI) is the most serious condition. Hyperlipidemia appears to be a significant cause of myocardial infarction, because it causes atherosclerosis directly. In recent years, copy number variation (CNV) has been analyzed in genomewide association studies of complex diseases. In this study, CNV was analyzed in blood samples and SNP arrays from 31 myocardial infarction patients with hyperlipidemia. Results: We identified seven CNV regions that were associated significantly with hyperlipidemia and myocardial infarction in our patients through multistage analysis (P<0.001), at 1p21.3, 1q31.2 (CDC73), 1q42.2 (DISC1), 3p21.31 (CDCP1), 10q11.21 (RET) 12p12.3 (PIK3C2G) and 16q23.3 (CDH13), respectively. In particular, the CNV region at 10q11.21 was examined by quantitative real-time PCR, the results of which were consistent with microarray findings. Conclusions: Our preliminary results constitute an alternative method of evaluating the relationship between CNV regions and cardiovascular disease. These susceptibility CNV regions may be used as biomarkers for early-stage diagnosis of hyperlipidemia and myocardial infarction, rendering them valuable for further research and discussion.en_US
dc.language.isoen_USen_US
dc.titleGenetic copy number variants in myocardial infarction patients with hyperlipidemiaen_US
dc.typeArticle; Proceedings Paperen_US
dc.identifier.doiS23en_US
dc.identifier.journalBMC GENOMICSen_US
dc.citation.volume12en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000303447900003-
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