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COMPUTATIONAL DESIGN FOR ANALYSIS OF SNP ASSOCIATION STUDIES
by
Chris Hsu
A Thesis Presented to the
FACULTY OF THE GRADUATE SCHOOL
UNIVERSITY OF SOUTHERN CALIFORNIA
In Partial Fulfillment of the
Requirements for the Degree
MASTER OF SCIENCE
(BIOSTATISTICS)
December 2008
Copyright 2008 Chris Hsu
Object Description
| Title | Computational design for analysis of SNP association studies |
| Author | Hsu, Chris |
| Author email | chrishsu@usc.edu; chrishsu1978@pcc.edu |
| Degree | Master of Science |
| Document type | Thesis |
| Degree program | Biostatistics |
| School | Keck School of Medicine |
| Date defended/completed | 2008-08-30 |
| Date submitted | 2008 |
| Restricted until | Unrestricted |
| Date published | 2008-10-22 |
| Advisor (committee chair) | Stram, Daniel |
| Advisor (committee member) |
Haiman, Christopher Setiawan, Wendy |
| Abstract | SNP genotyping technology has advanced considerably in recent years, allowing for faster data generation at significantly lower cost. Investigators can now test a large number of SNPs across the human genome to locate putative risk alleles. Case-control study design, in particular, offers direct and unbiased estimation of disease risk. However, as the number of SNPs that can be genotyped continues to increase rapidly, the complexity and intensity of computation become important issues to consider. We offer a simple and automated approach to the computation of case-control genotype data especially of interest to users of the statistical analysis package SAS®. |
| Keyword | SNP Association; SAS Macro; logistic regression; linear regression; HWE; MAF; automation; PLINK |
| Language | English |
| Part of collection | University of Southern California dissertations and theses |
| Publisher (of the original version) | University of Southern California |
| Place of publication (of the original version) | Los Angeles, California |
| Publisher (of the digital version) | University of Southern California. Libraries |
| Provenance | Electronically uploaded by the author |
| Type | texts |
| Legacy record ID | usctheses-m1694 |
| Rights | Hsu, Chris |
| Repository name | Libraries, University of Southern California |
| Repository address | Los Angeles, California |
| Repository email | http://www.usc.edu/isd/libraries/services/ask_a_librarian/email/ |
| Filename | etd-Hsu-2441 |
| Archival file | uscthesesreloadpub_Volume40/etd-Hsu-2441.pdf |
Description
| Title | Page 1 |
| Full text | COMPUTATIONAL DESIGN FOR ANALYSIS OF SNP ASSOCIATION STUDIES by Chris Hsu A Thesis Presented to the FACULTY OF THE GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Fulfillment of the Requirements for the Degree MASTER OF SCIENCE (BIOSTATISTICS) December 2008 Copyright 2008 Chris Hsu |
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