
A multivariate regression approach to association analysis of a quantitative trait network
Author(s) -
Seyoung Kim,
Kyung-Ah Sohn,
Eric P. Xing
Publication year - 2009
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btp218
Subject(s) - multivariate statistics , association (psychology) , multivariate analysis , regression , regression analysis , computer science , statistics , trait , machine learning , mathematics , psychology , programming language , psychotherapist
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.