Methods for SNP Regression Analysis in Clinical Studies

Selection, Shrinkage, and Logic

Authored by: Bryan Goldman Michael LeBlanc , Kooperberg Charles

Handbook of Statistics in Clinical Oncology

Print publication date:  March  2012
Online publication date:  March  2012

Print ISBN: 9781439862001
eBook ISBN: 9781439862018
Adobe ISBN:

10.1201/b11800-37

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Abstract

Investigations of the association of patient outcome with a few candidate single nucleotide polymorphisms (SNPs) or much larger numbers of SNPs have been undertaken in various therapeutic studies in oncology (e.g., Durie et al. 2009, Song et al. 2010). Since the genomic material often consists of germline DNA, not tumor DNA, the primary associations to therapeutic efficacy are typically not expected to be as strong as those seen for tumor gene expression. However, even with non-tumor DNA, there could potentially be some strong correlations with disease symptoms at diagnosis, measures of drug metabolism and patient adverse events due to treatment.

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