Work

The impact of exposure-biased sampling designs on detection of gene–environment interactions in case–control studies with potential exposure misclassification

Year: 2014

Type: article

Source: European Journal of Epidemiology

DOI: 10.1007/s10654-014-9908-1

Authors: Stephanie L. Stenzel, Jaeil Ahn, Philip S. Boonstra, Stephen B. Gruber, Bhramar Mukherjee

Institutions: University of Michigan, Georgetown University, University of Southern California, USC Norris Comprehensive Cancer Center

Language: English

Topic: Genetic Associations and Epidemiology

Subfield: Genetics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Science Foundation, Foundation for the National Institutes of Health, University of Michigan, National Institutes of Health, Horace H. Rackham School of Graduate Studies, University of Michigan, National Human Genome Research Institute, National Cancer Institute, National Institute of Environmental Health Sciences

Awards: G1265647474, Transdisciplinary Studies of Genetic Variation in Colorectal Cancer, Two-Phase Cancer Studies of Gene-Environment Interaction, Environmental Genomics, G5967677340, Efficient Design and Analytic Strategies for Enhancing the Power of Detecting G X, University of Michigan Rogel Cancer Center Support Grant 2023-2028, University of Michigan Training Program in Genomic Science, Michigan Center on Lifestage Environmental Exposures and Disease (M-LEEaD)

OpenAlex ID: W2160053897

FWCI: 2.163

Cites: 28

Cited by: 19

Related to: 10