Analysis of multiple phenotypes in genome-wide genetic mapping studies.

ABSTRACT:

Background

Complex traits may be defined by a range of different criteria. It would result in a loss of information to perform analyses simply on the basis of a final clinical dichotomized affected / unaffected variable.

Results

We assess the performance of four alternative approaches for the analysis of multiple phenotypes in genetic association studies. We describe the four methods in detail and discuss their relative theoretical merits and disadvantages. Using simulation we demonstrate that PCA provides the greatest power when applied to both correlated phenotypes and with large numbers of phenotypes. The multivariate approach had low type I error only with independent phenotypes or small numbers of phenotypes. In this study, our application of the four methods to schizop

SUBMITTER: Suo C 

PROVIDER: S-EPMC3655878 | biostudies-literature | 2013 May

REPOSITORIES: biostudies-literature