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Methods for genome-wide association with longitudinal phenotypes
Descriptive
TitleInfo
Title
Methods for genome-wide association with longitudinal phenotypes
Name
(type = personal)
NamePart
(type = family)
Musolf
NamePart
(type = given)
Anthony Mark
NamePart
(type = date)
1986-
DisplayForm
Anthony Mark Musolf
Role
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author
Name
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Yu
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Lei
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Lei Yu
Affiliation
Advisory Committee
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chair
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Matise
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Tara
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Tara Matise
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Advisory Committee
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internal member
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Gordon
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(type = given)
Derek
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Derek Gordon
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Advisory Committee
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internal member
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Buyske
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Steve
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Steve Buyske
Affiliation
Advisory Committee
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outside member
Name
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Rutgers University
Role
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degree grantor
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Graduate School - New Brunswick
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school
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Text
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theses
OriginInfo
DateCreated
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2014
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2014-10
CopyrightDate
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2014
Place
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xx
Language
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eng
Abstract
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Most genome-wide association studies (GWAS) look for correlation between genetic variants and disease risk. Correlation between variants and disease progression or severity is rare. This maybe be due to the fact that progression GWAS require longitudinal data, which is much more difficult to analyze. In this thesis, I present a new method for performing GWAS with longitudinal phenotypes. Heterogeneous data is analyzed into homogeneous subgroups, and the probability of belonging to a given subgroup is used as a phenotype in association analyses. Association analyses can be performed on single SNPs or regions of the genome for both family and population data sets. Covariates can also be included in the analyses. I report that this method maintains proper type I error under all genetic scenarios, including when admixture is present. I also report that greater than 80% power is obtained for most genetic scenarios. Thus, this method is suitable for use by researchers studying longitudinal diseases
Subject
(authority = RUETD)
Topic
Microbiology and Molecular Genetics
Subject
(authority = ETD-LCSH)
Topic
Genomes Research
Subject
(authority = ETD-LCSH)
Topic
Longitudinal method
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Title
Rutgers University Electronic Theses and Dissertations
Identifier
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ETD
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ETD_5749
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electronic resource
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application/pdf
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text/xml
Extent
1 online resource (vi, 179 p. : ill.)
Note
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Ph.D.
Note
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Includes bibliographical references
Note
(type = statement of responsibility)
by Anthony Mark Musolf
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Title
Graduate School - New Brunswick Electronic Theses and Dissertations
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rucore19991600001
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NjNbRU
Identifier
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doi:10.7282/T34X571W
Genre
(authority = ExL-Esploro)
ETD doctoral
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Rights
RightsDeclaration
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The author owns the copyright to this work.
RightsHolder
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Name
FamilyName
Musolf
GivenName
Anthony
MiddleName
Mark
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime
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(point = start)
2014-07-30 20:14:08
AssociatedEntity
Name
Anthony Musolf
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)
2014-10-31
DateTime
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2015-05-02
Type
Embargo
Detail
Access to this PDF has been restricted at the author's request. It will be publicly available after May 2nd, 2015.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical
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ETD
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windows xp
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Statistical Profile