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基于數(shù)據(jù)融合算法的精神分裂癥易感基因排序及其信號(hào)通路研究 Gene ranking and signaling pathway of schizophrenia susceptible genes based on data fusion arithmetic |
| 作者： 楊鎧冰 冀燃 王美琴 張敏 張大保 |
| 單位： 首都醫(yī)科大學(xué)生物醫(yī)學(xué)工程學(xué)院(北京100069) |
| 關(guān)鍵詞： 精神分裂癥易感基因；數(shù)據(jù)融合算法；基因排序；信號(hào)通路 |
| 分類號(hào)： <br/> |
| 出版年·卷·期（頁(yè)碼）：2015·34·2（151-155） |
| 摘要： |
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目的 利用已有的研究結(jié)果，采用數(shù)據(jù)融合分析方法，對(duì)與已知的精神分 裂癥易感基因有密切關(guān)系的候選基因進(jìn)行統(tǒng)計(jì)分析，得出基因排序及其信號(hào)通 路的結(jié)果，以此證明數(shù)據(jù)融合算法能夠有效篩選精神分裂癥易感基因。方法 根 據(jù)已知的與精神分裂癥相關(guān)的基因，利用Endeavour工具，通過數(shù)據(jù)融合算法將 候選基因排序，并用DAVID數(shù)據(jù)庫(kù)對(duì)基因排序結(jié)果進(jìn)行功能注釋和富集分析。結(jié) 果 利用數(shù)據(jù)融合算法獲得的排序較高的基因與已有研究進(jìn)行比較，證實(shí)排名第 二的NRG3和排名第三的AKT1與精神分裂癥有密切聯(lián)系。其他排名較高的基因可 以作為潛在的疾病易感基因，為精神分裂癥的研究提供參考。結(jié)論 數(shù)據(jù)融合算 法能夠準(zhǔn)確評(píng)價(jià)候選基因與精神分裂癥的聯(lián)系，使用該方法能有效地對(duì)精神分 裂癥易感基因進(jìn)行篩選和判定。 |
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Objective Based on previous studies, this paper applies data fusion arithmetic to extract the potential susceptible genes and signaling pathway related to schizophrenia, which proves that data fusion algorithm is an effective method to filter schizophrenia susceptible genes. Methods By making use of Endeavour tool which is based on data fusion method, the candidate genes were ranked according to their similarity with the training genes. Then DAVID database was used to implement the functional annotation and enrichment analysis for the extracted genes. Results Compared with previous studies, the second NRG3 and third AKT1 which are obtained from higher ranking candidate genes, are closely related to schizophrenia. Other higher ranking genes could be used as potential disease-susceptibility genes to provide reference for the research of schizophrenia. Conclusions Data fusion arithmetic can help to detect the potential schizophrenia candidate genes objectively and correctly, and this method is a powerful tool for identifying schizophrenia susceptible genes. |
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地址：北京安定門外安貞醫(yī)院內(nèi)北京生物醫(yī)學(xué)工程編輯部 電話：010-64456508 傳真：010-64456661 電子郵箱：[email protected] |