東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Genetic epidemiologic methods for co...

Horne, Benjamin Davies.

Linked to FindBook

Google Book

Amazon

博客來

Genetic epidemiologic methods for common, complex diseases: Application to cardiovascular disease.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Genetic epidemiologic methods for common, complex diseases: Application to cardiovascular disease./
Author:	Horne, Benjamin Davies.
Description:	144 p.
Notes:	Source: Dissertation Abstracts International, Volume: 66-05, Section: B, page: 2542.
Contained By:	Dissertation Abstracts International66-05B.
Subject:	Health Sciences, Public Health. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3174944
ISBN:	0542129515

Genetic epidemiologic methods for common, complex diseases: Application to cardiovascular disease.
Horne, Benjamin Davies.

Genetic epidemiologic methods for common, complex diseases: Application to cardiovascular disease. - 144 p.

Source: Dissertation Abstracts International, Volume: 66-05, Section: B, page: 2542.

Thesis (Ph.D.)--The University of Utah, 2005.

Historically, genes harboring causative mutations for rare Mendelian diseases have been relatively easy to identify. Recent attempts to discover the genetic causes of complex diseases that are relatively common in human populations have, however, not been as successful. The difficulties encountered in the genetic study of common diseases include problems with study design, study population, definition of phenotype, and statistical approach. Genetic studies of cardiovascular disease phenotypes provide a prime example of these problems. Specifically, coronary heart disease is a prevalent disease with multiple risk factors including many potential environmental and inherited contributors. Unfortunately, the deciphering of the genetic component for coronary disease has experienced many promising findings that have not been corroborated. The aims of this dissertation project were to evaluate genetic contributions to cardiovascular diseases, and coronary heart disease in particular, using large populations with well-defined phenotypes and well-characterized genetic factors, and to explore improved methods of genetic analysis that account for the complexity of genetics and environment. These aims were accomplished through application to the three primary areas of genetic epidemiology: population genetic analysis, linkage analysis of phenotypes to genetic loci, and candidate genes association analysis.

ISBN: 0542129515Subjects--Topical Terms:

1017659
Health Sciences, Public Health.

Genetic epidemiologic methods for common, complex diseases: Application to cardiovascular disease.
LDR:02345nmm 2200289 4500 001 1812922
005 20060427132644.5
008 130610s2005 eng d
020 $a 0542129515
035 $a (UnM)AAI3174944
035 $a AAI3174944
040 $a UnM $c UnM
100 1 $a Horne, Benjamin Davies. $3 1902455
245 1 0 $a Genetic epidemiologic methods for common, complex diseases: Application to cardiovascular disease.
300 $a 144 p.
500 $a Source: Dissertation Abstracts International, Volume: 66-05, Section: B, page: 2542.
500 $a Adviser: Nicola J. Camp.
502 $a Thesis (Ph.D.)--The University of Utah, 2005.
520 $a Historically, genes harboring causative mutations for rare Mendelian diseases have been relatively easy to identify. Recent attempts to discover the genetic causes of complex diseases that are relatively common in human populations have, however, not been as successful. The difficulties encountered in the genetic study of common diseases include problems with study design, study population, definition of phenotype, and statistical approach. Genetic studies of cardiovascular disease phenotypes provide a prime example of these problems. Specifically, coronary heart disease is a prevalent disease with multiple risk factors including many potential environmental and inherited contributors. Unfortunately, the deciphering of the genetic component for coronary disease has experienced many promising findings that have not been corroborated. The aims of this dissertation project were to evaluate genetic contributions to cardiovascular diseases, and coronary heart disease in particular, using large populations with well-defined phenotypes and well-characterized genetic factors, and to explore improved methods of genetic analysis that account for the complexity of genetics and environment. These aims were accomplished through application to the three primary areas of genetic epidemiology: population genetic analysis, linkage analysis of phenotypes to genetic loci, and candidate genes association analysis.
590 $a School code: 0240.
650 4 $a Health Sciences, Public Health. $3 1017659
650 4 $a Biology, Genetics. $3 1017730
650 4 $a Health Sciences, Medicine and Surgery. $3 1017756
690 $a 0573
690 $a 0369
690 $a 0564
710 2 0 $a The University of Utah. $3 1017410
773 0 $t Dissertation Abstracts International $g 66-05B.
790 1 0 $a Camp, Nicola J., $e advisor
790 $a 0240
791 $a Ph.D.
792 $a 2005
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3174944