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

An integrative approach identifies p...

Nguyen, Le Ba.

Linked to FindBook

Google Book

Amazon

博客來

An integrative approach identifies predisposition genes in neuroblastoma.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	An integrative approach identifies predisposition genes in neuroblastoma./
Author:	Nguyen, Le Ba.
Description:	123 p.
Notes:	Source: Dissertation Abstracts International, Volume: 74-10(E), Section: B.
Contained By:	Dissertation Abstracts International74-10B(E).
Subject:	Health Sciences, Oncology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3566460
ISBN:	9781303176432

An integrative approach identifies predisposition genes in neuroblastoma.
Nguyen, Le Ba.

An integrative approach identifies predisposition genes in neuroblastoma. - 123 p.

Source: Dissertation Abstracts International, Volume: 74-10(E), Section: B.

Thesis (Ph.D.)--University of Pennsylvania, 2013.

Neuroblastoma is a pediatric cancer of the developing nervous system that commonly affects young children, and has a very high mortality rate. The etiology of initiation and transformation of this malignancy is still incompletely understood despite recent advances in neuroblastoma research. Early studies of tumor biology have enabled the utilization of somatically acquired genetic and genomic alterations in tumor classification and treatment stratification. Later research of familial neuroblastoma, which comprises of 1% of neuroblastoma, has yielded robust understanding of the biology of these hereditary cases, and has resulted in several translational research achievements such as genetic testing and new therapies. Recent research has focused on understanding the genomic and genetic landscape of sporadic neuroblastoma through utilizing a breadth of computational prowess to understand massive high-throughput genomic data alongside with traditional cellular and molecular investigation techniques. This thesis is an integral part of this ongoing effort that combines, bridges, and balances the aspects of computational analysis and biological experiments. Here, we present a statistical method in the field of genome wide association studies (GWAS) with an emphasis on integrating association signals at the gene level. This method is beneficial in the way that it focuses on protein coding genes with the aim of making prediction for immediate molecular follow-up studies. We also present another novel statistical method that searches the genome for other interacting partners with the genes already identified by the previous method. Sharing the same philosophy, the interaction method also aims at identifying genes and haplotype blocks as interacting partners. In the last part of this thesis, we present a cellular and molecular study of one of the genes identified by our genome wide association method, designed to define this gene's roles in neuroblastoma cells.

ISBN: 9781303176432Subjects--Topical Terms:

1018566
Health Sciences, Oncology.

An integrative approach identifies predisposition genes in neuroblastoma.
LDR:02892nam a2200289 4500 001 1965045
005 20141010092956.5
008 150210s2013 ||||||||||||||||| ||eng d
020 $a 9781303176432
035 $a (MiAaPQ)AAI3566460
035 $a AAI3566460
040 $a MiAaPQ $c MiAaPQ
100 1 $a Nguyen, Le Ba. $3 2101631
245 1 3 $a An integrative approach identifies predisposition genes in neuroblastoma.
300 $a 123 p.
500 $a Source: Dissertation Abstracts International, Volume: 74-10(E), Section: B.
500 $a Advisers: John M. Maris; Hongzhe K. Li.
502 $a Thesis (Ph.D.)--University of Pennsylvania, 2013.
520 $a Neuroblastoma is a pediatric cancer of the developing nervous system that commonly affects young children, and has a very high mortality rate. The etiology of initiation and transformation of this malignancy is still incompletely understood despite recent advances in neuroblastoma research. Early studies of tumor biology have enabled the utilization of somatically acquired genetic and genomic alterations in tumor classification and treatment stratification. Later research of familial neuroblastoma, which comprises of 1% of neuroblastoma, has yielded robust understanding of the biology of these hereditary cases, and has resulted in several translational research achievements such as genetic testing and new therapies. Recent research has focused on understanding the genomic and genetic landscape of sporadic neuroblastoma through utilizing a breadth of computational prowess to understand massive high-throughput genomic data alongside with traditional cellular and molecular investigation techniques. This thesis is an integral part of this ongoing effort that combines, bridges, and balances the aspects of computational analysis and biological experiments. Here, we present a statistical method in the field of genome wide association studies (GWAS) with an emphasis on integrating association signals at the gene level. This method is beneficial in the way that it focuses on protein coding genes with the aim of making prediction for immediate molecular follow-up studies. We also present another novel statistical method that searches the genome for other interacting partners with the genes already identified by the previous method. Sharing the same philosophy, the interaction method also aims at identifying genes and haplotype blocks as interacting partners. In the last part of this thesis, we present a cellular and molecular study of one of the genes identified by our genome wide association method, designed to define this gene's roles in neuroblastoma cells.
590 $a School code: 0175.
650 4 $a Health Sciences, Oncology. $3 1018566
650 4 $a Biology, Biostatistics. $3 1018416
650 4 $a Biology, Bioinformatics. $3 1018415
690 $a 0992
690 $a 0308
690 $a 0715
710 2 $a University of Pennsylvania. $b Genomics and Computational Biology. $3 2101632
773 0 $t Dissertation Abstracts International $g 74-10B(E).
790 $a 0175
791 $a Ph.D.
792 $a 2013
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3566460