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Building a model for mapping genetic variation affecting gene expression

The majority of genetic traits including most common diseases are believed to be multigenic and arise both from variations in coding sequences as well as from regulatory polymorphisms. Genome-wide approaches are needed to develop models for understanding this complexity. This thesis develops approaches for studying genetic variation affecting gene expression on a genome-wide scale. This included development of experimental design principles and analytical methods for microarray data. These principles were then applied to characterize differences between commonly-used A/J and C57BL/6J inbred mouse strains at the molecular level identifying over 2000 genes differentially expressed between these strains across 4 tissues. To further investigate the role of genetic variation in genome-wide expression changes, we analyzed expression profiles of lung tissue obtained from a panel of recombinant congenic strains (RCS) derived from the same inbred strains. An ANOVA was applied using a model to test the association of expression profiles with donor-strain of origin (DSO, inferred from RCS genotyping data), and with genetic background. This model identified over 1500 genes whose expression levels were associated with DSO status (P<0.05) having adjusted for the variability due to predominant strain of background, suggestive of cis-regulatory variation in these genes. We randomly selected 50 positive genes displaying association between DSO and 80 negative genes for validation using allelic imbalance (AI), a method that uses intragenic SNPs for detecting genes with cis-regulatory variation that measures allele-specific transcript levels in cDNA of heterozygous individuals. Of the genes chosen, 54% of positive versus 27% of negative genes contained at least one SNP within ≥ 1 kbp of 3' UTR sequenced (P<0.05 Fisher exact test). Al was found in 63% of positive genes versus 23% of negative genes (P<0.01 Fisher exact test) representing a greater than 10-fo

Identiferoai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:QMM.85931
Date January 2005
CreatorsLee, Peter Daniel
PublisherMcGill University
Source SetsLibrary and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada
LanguageEnglish
Detected LanguageEnglish
TypeElectronic Thesis or Dissertation
Formatapplication/pdf
CoverageDoctor of Philosophy (Department of Human Genetics.)
RightsAll items in eScholarship@McGill are protected by copyright with all rights reserved unless otherwise indicated.
Relationalephsysno: 002261496, proquestno: AAINR21668, Theses scanned by UMI/ProQuest.

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