Asymmetric independence modeling identifies novel gene-environment interactions

Most genetic or environmental factors work together in determining complex disease risk. Detecting gene-environment interactions may allow us to elucidate novel and targetable molecular mechanisms on how environmental exposures modify genetic effects. Unfortunately, standard logistic regression (LR)...

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Detalles Bibliográficos
Autores principales: Yu, Guoqiang, Miller, David J., Wu, Chiung-Ting, Hoffman, Eric P., Liu, Chunyu, Herrington, David M., Wang, Yue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6385186/
https://www.ncbi.nlm.nih.gov/pubmed/30792419
http://dx.doi.org/10.1038/s41598-019-38983-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6385186/
https://www.ncbi.nlm.nih.gov/pubmed/30792419
http://dx.doi.org/10.1038/s41598-019-38983-z

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