Ontology highlight
ABSTRACT:
SUBMITTER: Murcray CE
PROVIDER: S-EPMC2732981 | biostudies-literature | 2009 Jan
REPOSITORIES: biostudies-literature
Murcray Cassandra E CE Lewinger Juan Pablo JP Gauderman W James WJ
American journal of epidemiology 20081120 2
It is a commonly held belief that most complex diseases (e.g., diabetes, asthma, cancer) are affected in part by interactions between genes and environmental factors. However, investigators conducting genome-wide association studies typically test for only the marginal effects of each genetic marker on disease. In this paper, the authors propose an efficient and easily implemented 2-step analysis of genome-wide association study data aimed at identifying genes involved in a gene-environment inte ...[more]