PMID- 24476546 OWN - NLM STAT- MEDLINE DCOM- 20150608 LR - 20140729 IS - 1943-3670 (Electronic) IS - 0022-3492 (Linking) VI - 85 IP - 8 DP - 2014 Aug TI - Prioritization of candidate genes for periodontitis using multiple computational tools. PG - 1059-69 LID - 10.1902/jop.2014.130523 [doi] AB - 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 (expression profiles, genome-wide association studies). Combining the seed genes, four freely available bioinformatics tools (ToppGene, DIR, Endeavour, and GPEC) were integrated for prioritization of candidate genes. Candidate genes that identified with at least three programs and ranked in the top 20 by each program were considered the most promising. RESULTS: Prioritization analysis resulted in 21 promising genes involved or potentially involved in periodontitis. Among them, IL18 (interleukin 18), CD44 (CD44 molecule), CXCL1 (chemokine [CXC motif] ligand 1), IL6ST (interleukin 6 signal transducer), MMP3 (matrix metallopeptidase 3), MMP7, CCR1 (chemokine [C-C motif] receptor 1), MMP13, and TLR9 (Toll-like receptor 9) had been associated with periodontitis. However, the roles of other genes, such as CSF3 (colony stimulating factor 3 receptor), CD40, TNFSF14 (tumor necrosis factor receptor superfamily, member 14), IFNB1 (interferon-beta1), TIRAP (toll-interleukin 1 receptor domain containing adaptor protein), IL2RA (interleukin 2 receptor alpha), ETS1 (v-ets avian erythroblastosis virus E26 oncogene homolog 1), GADD45B (growth arrest and DNA-damage-inducible 45 beta), BIRC3 (baculoviral IAP repeat containing 3), VAV1 (vav 1 guanine nucleotide exchange factor), COL5A1 (collagen, type V, alpha1), and C3 (complement component 3), have not been investigated thoroughly in the process of periodontitis. These genes are mainly involved in bacterial infection, immune response, and inflammatory reaction, suggesting that further characterizing their roles in periodontitis will be important. CONCLUSIONS: A combination of computational tools will be useful in mining candidate genes for periodontitis. These theoretical results provide new clues for experimental biologists to plan targeted experiments. FAU - Zhan, Yuanbo AU - Zhan Y AD - Department of Periodontology and Oral Mucosa, Second Affiliated Hospital of Harbin Medical University, Harbin, China. FAU - Zhang, Ruimin AU - Zhang R FAU - Lv, Hongchao AU - Lv H FAU - Song, Xuejing AU - Song X FAU - Xu, Xiaoman AU - Xu X FAU - Chai, Lin AU - Chai L FAU - Lv, Wenhua AU - Lv W FAU - Shang, Zhenwei AU - Shang Z FAU - Jiang, Yongshuai AU - Jiang Y FAU - Zhang, Ruijie AU - Zhang R LA - eng PT - Journal Article PT - Research Support, Non-U.S. Gov't DEP - 20140130 PL - United States TA - J Periodontol JT - Journal of periodontology JID - 8000345 RN - 0 (Cytokines) RN - 0 (Interleukins) RN - 0 (Tumor Necrosis Factors) RN - EC 3.4.24.- (Matrix Metalloproteinases) SB - IM MH - Computational Biology MH - Cytokines/genetics MH - Data Mining MH - Databases as Topic MH - Gene Expression Profiling MH - Genetic Association Studies/*methods MH - Humans MH - Interleukins/genetics MH - Matrix Metalloproteinases/genetics MH - Periodontitis/*genetics MH - Tumor Necrosis Factors/genetics OTO - NOTNLM OT - Computational biology OT - genetic association studies OT - genomics OT - periodontitis. EDAT- 2014/01/31 06:00 MHDA- 2015/06/09 06:00 CRDT- 2014/01/31 06:00 PHST- 2014/01/31 06:00 [entrez] PHST- 2014/01/31 06:00 [pubmed] PHST- 2015/06/09 06:00 [medline] AID - 10.1902/jop.2014.130523 [doi] PST - ppublish SO - J Periodontol. 2014 Aug;85(8):1059-69. doi: 10.1902/jop.2014.130523. Epub 2014 Jan 30.