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Post GWAS analysis
Descriptive
TitleInfo
Title
Post GWAS analysis
SubTitle
framework, methods and applications to blood pressure sensitivity study on weight and sodium change
Name
(type = personal)
NamePart
(type = family)
Liu
NamePart
(type = given)
Jie
NamePart
(type = date)
1985-
DisplayForm
Jie Liu
Role
RoleTerm
(authority = RULIB)
author
Name
(type = personal)
NamePart
(type = family)
Cabrera
NamePart
(type = given)
Javier
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Javier Cabrera
Affiliation
Advisory Committee
Role
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(authority = RULIB)
chair
Name
(type = personal)
NamePart
(type = family)
Strawderman
NamePart
(type = given)
William
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William Strawderman
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
internal member
Name
(type = personal)
NamePart
(type = family)
Kolassa
NamePart
(type = given)
John
DisplayForm
John Kolassa
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
internal member
Name
(type = personal)
NamePart
(type = family)
Cheng
NamePart
(type = given)
Jerry
DisplayForm
Jerry Cheng
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
outside member
Name
(type = corporate)
NamePart
Rutgers University
Role
RoleTerm
(authority = RULIB)
degree grantor
Name
(type = corporate)
NamePart
Graduate School - New Brunswick
Role
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(authority = RULIB)
school
TypeOfResource
Text
Genre
(authority = marcgt)
theses
OriginInfo
DateCreated
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(qualifier = exact)
2015
DateOther
(qualifier = exact);
(type = degree)
2015-01
CopyrightDate
(encoding = w3cdtf);
(qualifier = exact)
2015
Place
PlaceTerm
(type = code)
xx
Language
LanguageTerm
(authority = ISO639-2b);
(type = code)
eng
Abstract
(type = abstract)
Genome-wide association studies (GWAS) have gained popularity in the past few years. Researchers have made findings on identifying genetic variants as risk factors for biological traits. A further question is how to apply the results to real-life applications. In this dissertation, a framework is proposed to conduct a post stage GWAS analysis, connect GWAS findings with existing clinical trials, and provide useful information to doctors and practitioners to help patients. The key part of this framework is to incorporate GWAS results with clinical information and perform appropriate analysis with the combined data. We illustrate the application to the Trial of Non-pharmacologic Interventions in the Elderly (TONE). TONE is a clinical trial for elderly with high blood pressure, in which patients were randomized to receive intensive intervention in weight if they were obese, sodium intake reduction, both weight and sodium control, or placebo. We investigate the relationship of 21 polymorphisms, which are reported to have association with hypertension, diabetes or obesity, with the change in systolic blood pressure at the end of the trial. The objective is to find the people who would significantly benefit from such interventions. For the analysis of data, we propose two approaches under the Post GWAS framework: recursive partitioning tree and exhaustive search. The recursive partitioning algorithm is a binary tree based algorithm that assigns different functionalities to SNP data and clinical data in the tree construction. We fit the tree to the data and examine the sensitivity of blood pressure drop given weight loss or sodium reduction. We compare classical regression tree with our modification to emphasize the differences in their structures. Tree methods are easy to interpret and compute, but only investigate a subset of the feature spaces. Exhaustive search is proposed to overcome this disadvantage. We look at all possible combinations of genotypes with sufficient sample and compute the sensitivities. We control multiplicity by the permutation version of false discovery rate method. Multidimensional scaling is used to determine the maximum number of polymorphisms to consider. Finally, we report and interpret the results from recursive tree and exhaustive search models.
Subject
(authority = RUETD)
Topic
Statistics and Biostatistics
Subject
(authority = ETD-LCSH)
Topic
Gene mapping
Subject
(authority = ETD-LCSH)
Topic
Genomics
Subject
(authority = ETD-LCSH)
Topic
Genomes--Analysis
Subject
(authority = ETD-LCSH)
Topic
Blood pressure
RelatedItem
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TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier
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ETD
Identifier
ETD_6108
PhysicalDescription
Form
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electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
1 online resource (x, 82 p. : ill.)
Note
(type = degree)
Ph.D.
Note
(type = bibliography)
Includes bibliographical references
Note
(type = statement of responsibility)
by Jie Liu
RelatedItem
(type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier
(type = local)
rucore19991600001
Location
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(displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier
(type = doi)
doi:10.7282/T3PV6N4V
Genre
(authority = ExL-Esploro)
ETD doctoral
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Rights
RightsDeclaration
(ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder
(type = personal)
Name
FamilyName
Liu
GivenName
Jie
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime
(encoding = w3cdtf);
(qualifier = exact);
(point = start)
2014-12-22 22:13:19
AssociatedEntity
Name
Jie Liu
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - New Brunswick
AssociatedObject
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
RightsEvent
DateTime
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(qualifier = exact);
(point = start)
2015-01-31
DateTime
(encoding = w3cdtf);
(qualifier = exact);
(point = end)
2016-01-31
Type
Embargo
Detail
Access to this PDF has been restricted at the author's request. It will be publicly available after January 31st, 2016.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical
RULTechMD
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ContentModel
ETD
OperatingSystem
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windows xp
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