Author

Beth Wilmot

Date

August 2007

Document Type

Dissertation

Degree Name

Ph.D.

Department

Dept. of Molecular and Medical Genetics

Institution

Oregon Health & Science University

Abstract

Alternative strategies for mapping genes involved in common traits are needed due to the complexity of the underlying genetic and environmental causes. Improvements in technology have provided the ability to genotype increasing numbers of single nucleotide polymorphisms (SNPs) in multiple individuals in a cost effective manner. The advent of whole genome expression profiling technology has enabled investigators to combine functional genomics with genetic variation such as SNPs and copy number polymorphisms to inform the choice of possible candidate genes for further study. In this study, genes involved in age-related cognitive decline as defined by Alzheimer’s disease (AD) were identified through the use of current high-throughput technologies. Gene profiling was used to identify functional candidates and associated pathways implicated in neuropathological phenotypes related to cognitive decline. Whole genome association (WGA) techniques were investigated to assess both the low level characteristics of the genotyping algorithms and the impact of DNA structural variation on the previous gene expression results.

Identifier

doi:10.6083/M4PR7SXW

School

School of Medicine

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