Incidence and Regulatory Implications of Single Nucleotide Polymorphisms among Established Ovarian Cancer Genes.

<p>OVARIAN cancer research focuses on answering important questions related to the disease, determining whether new approaches are feasible to contribute towards improving current treatments or discovering new ones. This study focused on the transcriptional regulation of genes that have been i...

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Main Author: Ramdayal, Kavisha.
Format: Others
Language:English
Published: 2009
Subjects:
Online Access:http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_5790_1277754834
id ndltd-netd.ac.za-oai-union.ndltd.org-uwc-oai-UWC_ETD-http%3A%2F%2Fetd.uwc.ac.za%2Findex.php%3Fmodule%3Detd%26action%3Dviewtitle%26id%3Dgen8Srv25Nme4_5790_1277754834
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spelling ndltd-netd.ac.za-oai-union.ndltd.org-uwc-oai-UWC_ETD-http%3A%2F%2Fetd.uwc.ac.za%2Findex.php%3Fmodule%3Detd%26action%3Dviewtitle%26id%3Dgen8Srv25Nme4_5790_12777548342014-02-08T03:47:50Z Incidence and Regulatory Implications of Single Nucleotide Polymorphisms among Established Ovarian Cancer Genes. Ramdayal, Kavisha. Ovarian cancer Susceptibility Single nucleotide polymorphism SNP@Promoter F-SNP PupaSuite Transcription factor binding site Transcription factor MATCHTM HapMap Allele. <p>OVARIAN cancer research focuses on answering important questions related to the disease, determining whether new approaches are feasible to contribute towards improving current treatments or discovering new ones. This study focused on the transcriptional regulation of genes that have been implicated in ovarian cancer, based on the occurrences of single nucleotide polymorphisms (SNPs) within transcription factor binding sites (TFBSs). Through the application of several in silico tools, databases and custom programs, this research aimed to contribute toward the identification of potentially bio-medically important genes or SNPs for pre-diagnosis and subsequent treatment planning of ovarian cancer. A total of 379 candidate genes that have been experimentally associated with ovarian cancer were analyzed. This led to the identification of 121 SNPs that were found to coincide with putative TFBSs potentially influencing a total of 57 transcription factors that would normally bind to these TFBSs. These SNPs with potential phenotypic effect were then evaluated among several population groups, defined by the International HapMap consortium resulting in the identification of three SNPs present in five or more of the eleven population groups that have been sampled.</p> 2009 Thesis and dissertation Pdf http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_5790_1277754834 English ZA Copyright: University of the Western Cape
collection NDLTD
language English
format Others
sources NDLTD
topic Ovarian cancer
Susceptibility
Single nucleotide
polymorphism
SNP@Promoter
F-SNP
PupaSuite
Transcription factor binding site
Transcription factor
MATCHTM
HapMap
Allele.
spellingShingle Ovarian cancer
Susceptibility
Single nucleotide
polymorphism
SNP@Promoter
F-SNP
PupaSuite
Transcription factor binding site
Transcription factor
MATCHTM
HapMap
Allele.
Ramdayal, Kavisha.
Incidence and Regulatory Implications of Single Nucleotide Polymorphisms among Established Ovarian Cancer Genes.
description <p>OVARIAN cancer research focuses on answering important questions related to the disease, determining whether new approaches are feasible to contribute towards improving current treatments or discovering new ones. This study focused on the transcriptional regulation of genes that have been implicated in ovarian cancer, based on the occurrences of single nucleotide polymorphisms (SNPs) within transcription factor binding sites (TFBSs). Through the application of several in silico tools, databases and custom programs, this research aimed to contribute toward the identification of potentially bio-medically important genes or SNPs for pre-diagnosis and subsequent treatment planning of ovarian cancer. A total of 379 candidate genes that have been experimentally associated with ovarian cancer were analyzed. This led to the identification of 121 SNPs that were found to coincide with putative TFBSs potentially influencing a total of 57 transcription factors that would normally bind to these TFBSs. These SNPs with potential phenotypic effect were then evaluated among several population groups, defined by the International HapMap consortium resulting in the identification of three SNPs present in five or more of the eleven population groups that have been sampled.</p>
author Ramdayal, Kavisha.
author_facet Ramdayal, Kavisha.
author_sort Ramdayal, Kavisha.
title Incidence and Regulatory Implications of Single Nucleotide Polymorphisms among Established Ovarian Cancer Genes.
title_short Incidence and Regulatory Implications of Single Nucleotide Polymorphisms among Established Ovarian Cancer Genes.
title_full Incidence and Regulatory Implications of Single Nucleotide Polymorphisms among Established Ovarian Cancer Genes.
title_fullStr Incidence and Regulatory Implications of Single Nucleotide Polymorphisms among Established Ovarian Cancer Genes.
title_full_unstemmed Incidence and Regulatory Implications of Single Nucleotide Polymorphisms among Established Ovarian Cancer Genes.
title_sort incidence and regulatory implications of single nucleotide polymorphisms among established ovarian cancer genes.
publishDate 2009
url http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_5790_1277754834
work_keys_str_mv AT ramdayalkavisha incidenceandregulatoryimplicationsofsinglenucleotidepolymorphismsamongestablishedovariancancergenes
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