A unified GMDR method for detecting gene-gene interactions in family and unrelated samples with application to nicotine dependence.

ABSTRACT: Gene-gene and gene-environment interactions govern a substantial portion of the variation in complex traits and diseases. In convention, a set of either unrelated or family samples are used in detection of such interactions; even when both kinds of data are available, the unrelated and the family samples are analyzed separately, potentially leading to loss in statistical power. In this report, to detect gene-gene interactions we propose a generalized multifactor dimensionality reduction method that unifies analyses of nuclear families and unrelated subjects within the same statistical framework. We used principal components as genetic background controls against population stratification, and when sibling data are included, within-family control were used to correct for potential spurious

SUBMITTER: Chen GB 

PROVIDER: S-EPMC3947150 | biostudies-literature | 2014 Feb

REPOSITORIES: biostudies-literature