A multivariate regression approach to association analysis of a quantitative trait network.

ABSTRACT:

Motivation

Many complex disease syndromes such as asthma consist of a large number of highly related, rather than independent, clinical phenotypes, raising a new technical challenge in identifying genetic variations associated simultaneously with correlated traits. Although a causal genetic variation may influence a group of highly correlated traits jointly, most of the previous association analyses considered each phenotype separately, or combined results from a set of single-phenotype analyses.

Results

We propose a new statistical framework called graph-guided fused lasso to address this issue in a principled way. Our approach represents the dependency structure among the quantitative traits explicitly as a network, and leverages this trait network to encode structured reg

SUBMITTER: Kim S 

PROVIDER: S-EPMC2687972 | biostudies-literature | 2009 Jun

REPOSITORIES: biostudies-literature