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Detecting signatures of natural selection in genetic data
Descriptive
TitleInfo
Title
Detecting signatures of natural selection in genetic data
Name
(type = personal)
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(type = family)
Bhatia
NamePart
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Aatish
NamePart
(type = date)
1985-
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Aatish Bhatia
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author
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Bhanot
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Gyan
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Gyan Bhanot
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Advisory Committee
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chair
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Morozov
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Alexandre V
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Alexandre V Morozov
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Advisory Committee
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internal member
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(type = family)
Sengupta
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(type = given)
Anirvan M
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Anirvan M Sengupta
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Advisory Committee
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internal member
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Zimmerman
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(type = given)
Frank M
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Frank M Zimmerman
Affiliation
Advisory Committee
Role
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internal member
Name
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Belyi
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(type = given)
Vladimir A
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Vladimir A Belyi
Affiliation
Advisory Committee
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outside member
Name
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NamePart
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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2013
DateOther
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(type = degree)
2013-10
Place
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xx
Language
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eng
Abstract
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I report on three studies where I identify signatures of natural selection in humans, and dissect the genetic architecture of complex phenotypic traits in yeast. In chapter 2, I discuss the results of a quantitative trait mapping study, where we showed that yeast growth can be characterized by multiple biologically-relevant growth parameters obtained by fitting yeast growth OD data to a sigmoid function. We identified quantita- tive trait loci (QTL) and gene-gene interactions driving variation in these yeast growth parameters. We analyzed the environment dependence of these QTLs and gene-gene interactions, and identified a common gene, FLO8, which interacts with other genes in an environment specific fashion to affect distinct growth phenotypes. In chapter 3, I describe our published study where we applied quantitative trait locus mapping to wildtype yeast strains, and identified linked clusters of genetic variants that contributed to variation in the sporulation efficiency of these strains. In chapter 4, I describe our work on identifying signatures of natural selection in the human lineage, specifically in the Maasai people in East Africa. Our work suggests that the Maasai have under- gone recent diet induced positive natural selection that may confer protection against hyperlipidemia and cardiac diseases.
Subject
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Topic
Physics and Astronomy
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Title
Rutgers University Electronic Theses and Dissertations
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ETD_4956
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electronic resource
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application/pdf
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text/xml
Extent
xii, 109 p. : ill.
Note
(type = degree)
Ph.D.
Note
(type = bibliography)
Includes bibliographical references
Note
(type = statement of responsibility)
by Aatish Bhatia
Subject
(authority = ETD-LCSH)
Topic
Natural selection
Subject
(authority = ETD-LCSH)
Topic
Variation (Biology)
Subject
(authority = ETD-LCSH)
Topic
Genetics
Subject
(authority = ETD-LCSH)
Topic
Maasai (African people)--Food
RelatedItem
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TitleInfo
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/T3FN147V
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
Bhatia
GivenName
Aatish
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime
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(point = start)
2013-08-25 19:43:10
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Name
Aatish Bhatia
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.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical
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windows xp
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