A SCREENING-TESTING APPROACH FOR DETECTING GENE-ENVIRONMENT INTERACTIONS USING SEQUENTIAL PENALIZED AND UNPENALIZED MULTIPLE LOGISTIC REGRESSION

Gene-environment (G×E) interactions are biologically important for a wide range of environmental exposures and clinical outcomes. Because of the large number of potential interactions in genomewide association data, the standard approach fits one model per G×E interaction with multiple hypothesis co...

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Veröffentlicht in:Pac Symp Biocomput
Hauptverfasser: Frost, H. Robert, Andrew, Angeline S., Karagas, Margaret R., Moore, Jason H.
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2015
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Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4299918/
https://ncbi.nlm.nih.gov/pubmed/25592580
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