Language:
English
繁體中文
Help
回圖書館首頁
手機版館藏查詢
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Search for functional alleles in the...
~
Johnson, Andrew Danner.
Linked to FindBook
Google Book
Amazon
博客來
Search for functional alleles in the human genome with focus on cardiovascular disease candidate genes.
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Search for functional alleles in the human genome with focus on cardiovascular disease candidate genes./
Author:
Johnson, Andrew Danner.
Description:
260 p.
Notes:
Adviser: Wolfgang Sadee.
Contained By:
Dissertation Abstracts International68-07B.
Subject:
Biology, Bioinformatics. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3275249
ISBN:
9780549164647
Search for functional alleles in the human genome with focus on cardiovascular disease candidate genes.
Johnson, Andrew Danner.
Search for functional alleles in the human genome with focus on cardiovascular disease candidate genes.
- 260 p.
Adviser: Wolfgang Sadee.
Thesis (Ph.D.)--The Ohio State University, 2007.
The genetic investigation of human disorders largely through linkage mapping has led to the discovery of candidate genes and mutations as risk factors for those disorders where there is a high degree of penetrance. While twin studies have provided evidence that there are major genetic contributions to multifactorial diseases like coronary artery disease, it has proven difficult to find and replicate significant genetic associations for such diseases. Recent advances in technology, throughput and understanding of widespread human genetic variation at the genomic level (e.g., the HapMap project) have allowed the application of more genetic markers in larger sample studies, but we are still lacking a complete picture of genetic contributions to major multifactorial diseases.
ISBN: 9780549164647Subjects--Topical Terms:
1018415
Biology, Bioinformatics.
Search for functional alleles in the human genome with focus on cardiovascular disease candidate genes.
LDR
:03744nam 2200289 a 45
001
947661
005
20110524
008
110524s2007 ||||||||||||||||| ||eng d
020
$a
9780549164647
035
$a
(UMI)AAI3275249
035
$a
AAI3275249
040
$a
UMI
$c
UMI
100
1
$a
Johnson, Andrew Danner.
$3
1271133
245
1 0
$a
Search for functional alleles in the human genome with focus on cardiovascular disease candidate genes.
300
$a
260 p.
500
$a
Adviser: Wolfgang Sadee.
500
$a
Source: Dissertation Abstracts International, Volume: 68-07, Section: B, page: 4207.
502
$a
Thesis (Ph.D.)--The Ohio State University, 2007.
520
$a
The genetic investigation of human disorders largely through linkage mapping has led to the discovery of candidate genes and mutations as risk factors for those disorders where there is a high degree of penetrance. While twin studies have provided evidence that there are major genetic contributions to multifactorial diseases like coronary artery disease, it has proven difficult to find and replicate significant genetic associations for such diseases. Recent advances in technology, throughput and understanding of widespread human genetic variation at the genomic level (e.g., the HapMap project) have allowed the application of more genetic markers in larger sample studies, but we are still lacking a complete picture of genetic contributions to major multifactorial diseases.
520
$a
Searching for genetic variants with evidence of a direct molecular impact on the expression and function of genes vital to disease development and progression is one valid approach to this problem. There is a growing appreciation that one major class of variation acts at the level of mRNA expression. Traditional tools for studying this class of variation (e.g., reporter gene assays) in the laboratory have severe limitations, mainly in that they lack the in vivo context where the alleles are hypothesized to have a functional impact. This dissertation relies heavily on the application of a relatively novel technique, the measurement of allelic expression imbalances (AEI) between chromosomes in primary human tissues. Using these measurements as phenotypic traits, we demonstrate that cis-acting alleles exerting molecular affects on mRNA expression can often be readily mapped. In the largest survey to date of AEI in primary human tissues we find that AEI in disease candidate genes is quite common, and that the functional contributors to these expression phenotypes are often not regulatory polymorphisms, but polymorphisms found directly within the mRNAs and affecting mRNA processing and functions. Computational analysis of mRNA structures and genetic variation within human genomes indicates that modulation of mRNA structural plasticity to polymorphism is likely one contributor to human phenotypic variability.
520
$a
Focusing on a number of cardiovascular disease candidate genes I make a number of novel findings: (1) a strong ACE AEI phenotype common in the African-American population is mapped to specific upstream regulatory alleles and is significantly associated with relevant clinical phenotypes, (2) SOD2 is subject to extremely common and extensive AEI in the human population suggesting potential positive selection, and (3) our results call into question the strength of many previous association studies based on polymorphisms in ACE, CCL2 and NOS3 where there is weak evidence supporting putative functional alleles.
590
$a
School code: 0168.
650
4
$a
Biology, Bioinformatics.
$3
1018415
690
$a
0715
710
2
$a
The Ohio State University.
$3
718944
773
0
$t
Dissertation Abstracts International
$g
68-07B.
790
$a
0168
790
1 0
$a
Sadee, Wolfgang,
$e
advisor
791
$a
Ph.D.
792
$a
2007
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3275249
based on 0 review(s)
Location:
ALL
電子資源
Year:
Volume Number:
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
W9115388
電子資源
11.線上閱覽_V
電子書
EB W9115388
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login