Prioritization of candidate genes for periodontitis using multiple computational tools.

@article{Zhan2014PrioritizationOC,
  title={Prioritization of candidate genes for periodontitis using multiple computational tools.},
  author={Yuanbo Zhan and Ruimin Zhang and Hongchao Lv and Xuejing Song and Xiaoman Xu and Lin Chai and Wenhua Lv and Zhenwei Shang and Yongshuai Jiang and Ruijie Zhang},
  journal={Journal of periodontology},
  year={2014},
  volume={85 8},
  pages={1059-69}
}
BACKGROUND Both genetic and environmental factors contribute to the development of periodontitis. Genetic studies identified a variety of candidate genes for periodontitis. The aim of the present study is to identify the most promising candidate genes for periodontitis using an integrative gene ranking method. METHODS Seed genes that were confirmed to be associated with periodontitis were identified using text mining. Three types of candidate genes were then extracted from different resources… CONTINUE READING
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