2014-12-18
From Gene Discovery to Understanding and Predicting Cardiometabolic Disease
Publication
Publication
Van het ontdekken van genen naar begrijpen en voorspellen van cardiometabole aandoeningen
Abstract
Cardiovascular diseases (CVD) are the leading cause of morbidity and the number one cause of death worldwide.1 An estimated 17.3 million people died from CVDs in 2008, including an estimated 7.3 million due to coronary heart disease (CHD) and 6.2 million due to stroke. The number of people dying from CVDs is expected to increase to 23.3 million in 2030 if no improvements in prevention and treatment will be implemented.1 For many years, CVD was considered an inevitable consequence of aging and knowledge about the pathophysiology was limited. In 1961, Kannel et al2 were the first to provide convincing evidence for age, sex (male), smoking, hypertension, diabetes and dyslipidemia as important risk factors for CVD, laying the foundation for the successful primary and secondary prevention programs that have been implemented. Despite these successes, CVDs impose a major burden on human health and healthcare systems.
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| C.M. van Duijn (Cornelia) | |
| The work presented in this thesis was conducted at the Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam. The ERF study was supported by grants from the Netherlands Organization for Scientific Research (NWO) and a joint grant from NWO and the Russian Foundation for Basic research (Pionier, 047.016.009, 047.017.043), Erasmus MC, and the Centre for Medical Systems Biology (CMSB; National Genomics Initiative) The generation and management of GWAS genotype data for the Rotterdam Study is supported by the Netherlands Organization for Scientific Research NWO Investments (nr. 175.010.2005.011, 911-03-012). This study is funded by the Research Institute for Diseases in the Elderly (014-93-015; RIDE2), the Netherlands Genomics Initiative (NGI)/ Netherlands Organization for Scientific Research (NWO) project nr. 050-060-810, CHANCES (nr 242244). The Rotterdam Study is funded by Erasmus Medical Center and Erasmus University, Rotterdam, Netherlands Organization for the Health Research and Development (ZonMw), the Research Institute for Diseases in the Elderly (RIDE), the Ministry of Education, Culture and Science, the Ministry for Health, Welfare and Sports, the European Commission (DG XII), and the Municipality of Rotterdam. Financial support for the publication of this thesis was kindly provided by the Erasmus University Rotterdam. | |
| hdl.handle.net/1765/77479 | |
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| Organisation | Erasmus MC: University Medical Center Rotterdam |
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Willems, S. (2014, December 18). From Gene Discovery to Understanding and Predicting Cardiometabolic Disease. The work presented in this thesis was conducted at the Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam. The ERF study was supported by grants from the Netherlands Organization for Scientific Research (NWO) and a joint grant from NWO and the Russian Foundation for Basic research (Pionier, 047.016.009, 047.017.043), Erasmus MC, and the Centre for Medical Systems Biology (CMSB; National Genomics Initiative) The generation and management of GWAS genotype data for the Rotterdam Study is supported by the Netherlands Organization for Scientific Research NWO Investments (nr. 175.010.2005.011, 911-03-012). This study is funded by the Research Institute for Diseases in the Elderly (014-93-015; RIDE2), the Netherlands Genomics Initiative (NGI)/ Netherlands Organization for Scientific Research (NWO) project nr. 050-060-810, CHANCES (nr 242244). The Rotterdam Study is funded by Erasmus Medical Center and Erasmus University, Rotterdam, Netherlands Organization for the Health Research and Development (ZonMw), the Research Institute for Diseases in the Elderly (RIDE), the Ministry of Education, Culture and Science, the Ministry for Health, Welfare and Sports, the European Commission (DG XII), and the Municipality of Rotterdam. Financial support for the publication of this thesis was kindly provided by the Erasmus University Rotterdam. Retrieved from http://hdl.handle.net/1765/77479 |
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