Identification of non-Hodgkin's lymphoma prognosis signatures using the CTGDR method.

ABSTRACT:

Motivation

Although NHL (non-Hodgkin's lymphoma) is the fifth leading cause of cancer incidence and mortality in the USA, it remains poorly understood and is largely incurable. Biomedical studies have shown that genomic variations, measured with SNPs (single nucleotide polymorphisms) in genes, may have independent predictive power for disease-free survival in NHL patients beyond clinical measurements.

Results

We apply the CTGDR (clustering threshold gradient directed regularization) method to genetic association studies using SNPs, analyze data from an association study of NHL and identify prognosis signatures to diffuse large B cell lymphoma (DLBCL) and follicular lymphoma (FL), the two most common subtypes of NHL. With the CTGDR method, we are able to account for the joint

SUBMITTER: Ma S 

PROVIDER: S-EPMC2796812 | biostudies-literature | 2010 Jan

REPOSITORIES: biostudies-literature