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Article

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

Oncotarget - 23 Aug 2016

Wei Runmin, De Vivo Immaculata, Huang Sijia, Zhu Xun, Risch Harvey, Moore Jason H, Yu Herbert, Garmire Lana X

Abstract excerpt

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 may be associated with tumorigenesis and progression of EC. We analyzed GWAS data obtained from Connecticut...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 27409342
DOI: 10.18632/oncotarget.10509
PMCID: PMC5342415

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