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Analysis of Copy Number Variation Association with GWAS Methylation Data

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Material Information

Title:
Analysis of Copy Number Variation Association with GWAS Methylation Data
Physical Description:
Book
Language:
English
Creator:
Machusko, Jr., Steven Joseph
Publisher:
New College of Florida
Place of Publication:
Sarasota, Fla.
Publication Date:

Thesis/Dissertation Information

Degree:
Bachelor's ( B.A.)
Degree Grantor:
New College of Florida
Degree Divisions:
Natural Sciences
Area of Concentration:
Biochemistry
Faculty Sponsor:
McDonald, Patrick
Ryba, Tyrone

Subjects

Genre:
bibliography   ( marcgt )
theses   ( marcgt )
government publication (state, provincial, territorial, dependent)   ( marcgt )
born-digital   ( sobekcm )
Electronic Thesis or Dissertation

Notes

Abstract:
This thesis examined whether CNVs have a statistically significant effect on the methylation status of a select group of genes previously found to have an association with lung cancer. Data from 1200 genotyped sputum samples from 1200 individuals of the Lovelace Smokers Cohort was analyzed to find the copy number variant composition of each sample. An association analysis between the found CNVs and data on each sample from a 12-gene methylation panel was then performed to determine any statistical significance between CNVs and the methylation phenotype. An ontology association analysis using the GREAT gene ontology tool was then performed on any SNP found to be significant in order find the genomic location of that SNP and assess any association it may have with any genes or gene regulatory regions. Even though the results of the CNV-methylation analysis lack statistical significance after Bonferroni adjustment, there is still valuable information in the ranking of association in the GREAT results. Many of the significantly enriched annotations were highly significant after GREAT multiple testing correction. While this study was unable to significantly reject the null hypothesis of no association between CNVs and methylation of the 12-gene panel, the results of the GREAT analysis warrant further work on this type of analysis.
Statement of Responsibility:
by Steven Joseph Machusko, Jr.
Thesis:
Thesis (B.A.) -- New College of Florida, 2014
General Note:
RESTRICTED TO NCF STUDENTS, STAFF, FACULTY, AND ON-CAMPUS USE
Bibliography:
Includes bibliographical references.
General Note:
This bibliographic record is available under the Creative Commons CC0 public domain dedication. The New College of Florida Libraries, as creator of this bibliographic record, has waived all rights to it worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law.
General Note:
Faculty Sponsor: McDonald, Patrick; Ryba, Tyrone

Record Information

Source Institution:
New College of Florida
Holding Location:
New College of Florida
Rights Management:
Applicable rights reserved.
Resource Identifier:
Classification:
S.T. 2014 M33
System ID:
AA00024768:00001

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