Unknown

Dataset Information

0

Detecting gene-environment interactions in genome-wide association data.

ABSTRACT: Despite the importance of gene-environment (GxE) interactions in the etiology of common diseases, little work has been done to develop methods for detecting these types of interactions in genome-wide association study data. This was the focus of Genetic Analysis Workshop 16 Group 10 contributions, which introduced a variety of new methods for the detection of GxE interactions in both case-control and family-based data using both cross-sectional and longitudinal study designs. Many of these contributions detected significant GxE interactions. Although these interactions have not yet been confirmed, the results suggest the importance of testing for interactions. Issues of sample size, quantifying the environmental exposure, longitudinal data analysis, family-based analysis, selection of the most powerful analysis method, population stratification, and computational expense with respect to testing GxE interactions are discussed.

SUBMITTER: Engelman CD 

PROVIDER: S-EPMC2924567 | biostudies-literature | 2009

REPOSITORIES: biostudies-literature

Json Xml
altmetric image

Publications

Despite the importance of gene-environment (GxE) interactions in the etiology of common diseases, little work has been done to develop methods for detecting these types of interactions in genome-wide association study data. This was the focus of Genetic Analysis Workshop 16 Group 10 contributions, which introduced a variety of new methods for the detection of GxE interactions in both case-control and family-based data using both cross-sectional and longitudinal study designs. Many of these contr  ...[more]

Similar Datasets

Unknown Detecting Gene-Environment Interactions for a Quantitative Trait in a Genome-Wide Association Study.
| S-EPMC5108681 | biostudies-literature
Unknown Genome-wide gene-environment interactions on quantitative traits using family data.
| S-EPMC5070904 | biostudies-other
Unknown A FAST ALGORITHM FOR DETECTING GENE-GENE INTERACTIONS IN GENOME-WIDE ASSOCIATION STUDIES.
| S-EPMC4595934 | biostudies-literature
Unknown The choice of null distributions for detecting gene-gene interactions in genome-wide association studies.
| S-EPMC3044281 | biostudies-literature
Unknown Powerful cocktail methods for detecting genome-wide gene-environment interaction.
| S-EPMC3654520 | biostudies-literature
Unknown A partition-based approach to identify gene-environment interactions in genome wide association studies.
| S-EPMC4143762 | biostudies-literature
Unknown Discovering pure gene-environment interactions in blood pressure genome-wide association studies data: a two-step approach incorporating new statistics.
| S-EPMC4143689 | biostudies-literature
Unknown A novel test for gene-ancestry interactions in genome-wide association data.
| S-EPMC3516524 | biostudies-literature
Unknown Gene-environment interaction in genome-wide association studies.
| S-EPMC2732981 | biostudies-literature
Unknown Genome-wide analysis of gestational gene-environment interactions in the developing kidney.
| S-EPMC4154247 | biostudies-other