| Project/Area Number |
17209021
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| Research Category |
Grant-in-Aid for Scientific Research (A)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Hygiene
|
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| Research Institution | Aichi Gakuin University (2006-2007)
Nagoya University (2005) |
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Principal Investigator |
YOKOTA Mitsuhiro Aichi Gakuin University, School of Dentistry, Professor (50201851)
|
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| Co-Investigator(Kenkyū-buntansha) |
NAGATA Kohzo Nagoya University, School of Medicine, Assistant Professor (20378227)
OBATA Koji Aichi-Gakuin University, School of Dentistry, Associate Professor (40378229)
IZAWA Hideo Nagoya University, Graduate School of Medicine, Lecturer (80402569)
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| Project Period (FY) |
2005 – 2007
|
| Project Status |
Completed (Fiscal Year 2007)
|
| Budget Amount *help |
¥43,940,000 (Direct Cost: ¥33,800,000、Indirect Cost: ¥10,140,000)
Fiscal Year 2007: ¥12,610,000 (Direct Cost: ¥9,700,000、Indirect Cost: ¥2,910,000)
Fiscal Year 2006: ¥14,560,000 (Direct Cost: ¥11,200,000、Indirect Cost: ¥3,360,000)
Fiscal Year 2005: ¥16,770,000 (Direct Cost: ¥12,900,000、Indirect Cost: ¥3,870,000)
|
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| Keywords | Investigation of Genetic Risk of Cardiovascular Di / King Study / Cohort Study / Lifestyle Related-Disease / Genome-Wide and Candidate Gene Association Study / Odds Ratio / Susceptibility Gene / DNA Bank / 心筋梗塞 / KING study / 症例-対照関連解 |
|---|
| Research Abstract |
Atherosclerotic CAD is a major health problem around the world. The CAD is believed to be multifactorial and to result from many genes, each with a relatively small effect, working alone or in combination with modifier genes and/or environmental factors.
Despite the years of research, the genetic basis of CAD or myocardial infarction (MI) remains to be fully elucidated. In this paper, we highlight emerging knowledge and paradigms from a number of technologies to identify susceptibility genes to MI.
The coronary artery disease (CAD) results from the combination of multiple genetic and environmental factors. We describe the genetic approaches researchers are using to advance understanding and preventing of CAD. The genetic identification of the future development of risk factors will lead to genome-informed tailored prevention
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