Meta-dimensional data integration identifies critical pathways for susceptibility, tumorigenesis and progression of endometrial cancer

Endometrial Cancer (EC) is one of the most common female cancers. Genome-wide association studies (GWAS) have been investigated to identify genetic polymorphisms that are predictive of EC risks. Here we utilized a meta-dimensional integrative approach to seek genetically susceptible pathways that ma...

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Detalles Bibliográficos
Autores principales: Wei, Runmin, De Vivo, Immaculata, Huang, Sijia, Zhu, Xun, Risch, Harvey, Moore, Jason H., Yu, Herbert, Garmire, Lana X.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2016
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5342415/
https://www.ncbi.nlm.nih.gov/pubmed/27409342
http://dx.doi.org/10.18632/oncotarget.10509

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5342415/
https://www.ncbi.nlm.nih.gov/pubmed/27409342
http://dx.doi.org/10.18632/oncotarget.10509

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