Cargando…
A Flexible Bayesian Model for Studying Gene–Environment Interaction
An important follow-up step after genetic markers are found to be associated with a disease outcome is a more detailed analysis investigating how the implicated gene or chromosomal region and an established environment risk factor interact to influence the disease risk. The standard approach to this...
Autores principales: | Yu, Kai, Wacholder, Sholom, Wheeler, William, Wang, Zhaoming, Caporaso, Neil, Landi, Maria Teresa, Liang, Faming |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3266891/ https://www.ncbi.nlm.nih.gov/pubmed/22291610 http://dx.doi.org/10.1371/journal.pgen.1002482 |
Ejemplares similares
-
A regression model for risk difference estimation in population-based case–control studies clarifies gender differences in lung cancer risk of smokers and never smokers
por: Kovalchik, Stephanie A, et al.
Publicado: (2013) -
Lung Cancer and Occupation in a Population-based Case-Control Study
por: Consonni, Dario, et al.
Publicado: (2010) -
Chronic Obstructive Pulmonary Disease and Altered Risk of Lung Cancer in a Population-Based Case-Control Study
por: Koshiol, Jill, et al.
Publicado: (2009) -
Time to First Morning Cigarette and Risk of Chronic Obstructive Pulmonary Disease: Smokers in the PLCO Cancer Screening Trial
por: Guertin, Kristin A., et al.
Publicado: (2015) -
Population Substructure and Control Selection in Genome-Wide Association Studies
por: Yu, Kai, et al.
Publicado: (2008)