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Leveraging Computational Methods and Electronic Health Records-Linked Biobank Data in Oral and Craniofacial Health Research- [electronic resource]
Leveraging Computational Methods and Electronic Health Records-Linked Biobank Data in Oral...
Leveraging Computational Methods and Electronic Health Records-Linked Biobank Data in Oral and Craniofacial Health Research- [electronic resource]

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자료유형  
 학위논문파일 국외
최종처리일시  
20240214101912
ISBN  
9798380364690
DDC  
617.6
저자명  
Venkateswaran, Vidhya.
서명/저자  
Leveraging Computational Methods and Electronic Health Records-Linked Biobank Data in Oral and Craniofacial Health Research - [electronic resource]
발행사항  
[S.l.]: : University of California, Los Angeles., 2023
발행사항  
Ann Arbor : : ProQuest Dissertations & Theses,, 2023
형태사항  
1 online resource(124 p.)
주기사항  
Source: Dissertations Abstracts International, Volume: 85-03, Section: A.
주기사항  
Advisor: Nishimura, Ichiro;Pasaniuc, Bogdan.
학위논문주기  
Thesis (Ph.D.)--University of California, Los Angeles, 2023.
사용제한주기  
This item must not be sold to any third party vendors.
초록/해제  
요약Bioinformatics and computational methods play an important role in advancing medical research with their ability to leverage large datasets, including data from electronic health records (EHR) linked biobanks. Precision medicine can benefit from leveraging a more comprehensive picture of a patient's genotypes and phenotypic presentation for targeted interventions and treatment planning. In this work, I discuss the applications of bioinformatics methods in the UCLA ATLAS biobank, in evaluating craniofacial traits and their risk factors: specifically, head and neck cancer and tobacco use disorder. First, I describe phenome-wide and lab-wide association analysis pipelines that leverage the breadth of the available information in the biobank, and the results of preliminary investigations of the phenome-wide and laboratory-wide associations of a genetic predisposition to tobacco use disorder. Next, I present the results of an evaluation of the predictive performance of a tobacco use polygenic score across different genetic ancestry groups and further discuss the differences in disease presentations in tobacco use-predisposed individuals with and without a history of the associated tobacco use behavior. Next, I employ these pipelines and statistical methods in the examination of the interplay of serum bilirubin, tobacco use, head and neck, and lung cancer. I present the results of this project, examining the effect of environmental and genetic factors on serum bilirubin and associations with head and neck cancer and lung cancer. Lastly, I propose a research project to examine the germline risk factors for oropharyngeal cancer and discuss the future directions of this work.
일반주제명  
Dentistry.
일반주제명  
Bioinformatics.
일반주제명  
Information science.
키워드  
Medical research
키워드  
Electronic health records
키워드  
Biobanks
키워드  
Craniofacial traits
키워드  
Genetic factors
키워드  
Tobacco use
기타저자  
University of California, Los Angeles Oral Biology 0615
기본자료저록  
Dissertations Abstracts International. 85-03A.
기본자료저록  
Dissertation Abstract International
전자적 위치 및 접속  
로그인 후 원문을 볼 수 있습니다.

MARC

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■00520240214101912
■006m          o    d                
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■020    ▼a9798380364690
■035    ▼a(MiAaPQ)AAI30687032
■040    ▼aMiAaPQ▼cMiAaPQ
■0820  ▼a617.6
■1001  ▼aVenkateswaran,  Vidhya.
■24510▼aLeveraging  Computational  Methods  and  Electronic  Health  Records-Linked  Biobank  Data  in  Oral  and  Craniofacial  Health  Research▼h[electronic  resource]
■260    ▼a[S.l.]:▼bUniversity  of  California,  Los  Angeles.  ▼c2023
■260  1▼aAnn  Arbor  :▼bProQuest  Dissertations  &  Theses,  ▼c2023
■300    ▼a1  online  resource(124  p.)
■500    ▼aSource:  Dissertations  Abstracts  International,  Volume:  85-03,  Section:  A.
■500    ▼aAdvisor:  Nishimura,  Ichiro;Pasaniuc,  Bogdan.
■5021  ▼aThesis  (Ph.D.)--University  of  California,  Los  Angeles,  2023.
■506    ▼aThis  item  must  not  be  sold  to  any  third  party  vendors.
■520    ▼aBioinformatics  and  computational  methods  play  an  important  role  in  advancing  medical  research  with  their  ability  to  leverage  large  datasets,  including  data  from  electronic  health  records  (EHR)  linked  biobanks.  Precision  medicine  can  benefit  from  leveraging  a  more  comprehensive  picture  of  a  patient's  genotypes  and  phenotypic  presentation  for  targeted  interventions  and  treatment  planning.  In  this  work,  I  discuss  the  applications  of  bioinformatics  methods  in  the  UCLA  ATLAS  biobank,  in  evaluating  craniofacial  traits  and  their  risk  factors:  specifically,  head  and  neck  cancer  and  tobacco  use  disorder.  First,  I  describe  phenome-wide  and  lab-wide  association  analysis  pipelines  that  leverage  the  breadth  of  the  available  information  in  the  biobank,  and  the  results  of  preliminary  investigations  of  the  phenome-wide  and  laboratory-wide  associations  of  a  genetic  predisposition  to  tobacco  use  disorder.  Next,  I  present  the  results  of  an  evaluation  of  the  predictive  performance  of  a  tobacco  use  polygenic  score  across different  genetic  ancestry  groups  and  further  discuss  the  differences  in  disease  presentations  in  tobacco  use-predisposed  individuals  with  and  without  a  history  of  the  associated  tobacco  use  behavior.  Next,  I  employ  these  pipelines  and  statistical  methods  in  the  examination  of  the  interplay  of  serum  bilirubin,  tobacco  use,  head  and  neck,  and  lung  cancer.  I  present  the  results  of  this  project,  examining  the  effect  of  environmental  and  genetic  factors  on  serum  bilirubin  and  associations  with  head  and  neck  cancer  and  lung  cancer.  Lastly,  I  propose  a  research  project  to  examine  the  germline  risk  factors  for  oropharyngeal  cancer  and  discuss  the  future  directions  of  this  work.
■590    ▼aSchool  code:  0031.
■650  4▼aDentistry.
■650  4▼aBioinformatics.
■650  4▼aInformation  science.
■653    ▼aMedical  research
■653    ▼aElectronic  health  records
■653    ▼aBiobanks
■653    ▼aCraniofacial  traits
■653    ▼aGenetic  factors
■653    ▼aTobacco  use
■690    ▼a0567
■690    ▼a0715
■690    ▼a0723
■71020▼aUniversity  of  California,  Los  Angeles▼bOral  Biology  0615.
■7730  ▼tDissertations  Abstracts  International▼g85-03A.
■773    ▼tDissertation  Abstract  International
■790    ▼a0031
■791    ▼aPh.D.
■792    ▼a2023
■793    ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16935272▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.
■980    ▼a202402▼f2024

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