快速的致病基因分析方法
发布时间：2018-11-09 18:39
【摘要】：目前通过IBD定位研究致病基因首先需要检测IBD片段,然后利用得到的IBD关系进行关联检测来定位致病基因,但是寻找IBD片段需要较长时间。提出了一种新的算法FADG,通过分析IBS和IBD的关系找出候选IBD片段,然后定义评价函数分别对病例组和对照组进行分析,差异最大的SNP位点就是致病位点。通过对GAW15提供的类风湿关节炎模拟数据的五个主要的致病位点和GS生成的模拟数据进行分析,实验结果与数据给定的致病位点一致;与已有的方法进行对比表明该算法在能找到正确位点的基础上效率较高;最后选择了RA数据中两条染色体分别进行permutation测试,验证算法得到致病位点的可信度,进一步排除所得结果假阳性的可能性。
[Abstract]:At present, it is necessary to detect the IBD fragment by IBD mapping, and then to locate the pathogenic gene by using the IBD relationship. However, it takes a long time to find the IBD fragment. A new algorithm, FADG, was proposed to identify candidate IBD fragments by analyzing the relationship between IBS and IBD. Then the evaluation function was defined to analyze the case group and the control group, respectively. The most different SNP locus was the pathogenicity site. Through the analysis of the five main pathogenic sites and the simulated data generated by GS from the simulated data of rheumatoid arthritis provided by GAW15, the experimental results are consistent with the given pathogenicity sites of the data. Compared with the existing methods, the algorithm is efficient on the basis of finding the correct sites. Finally, two chromosomes in RA data were selected for permutation test to verify the reliability of the algorithm to obtain the pathogenic sites, and further eliminate the possibility of false positive results.
【作者单位】： 天津科技大学计算机科学与信息工程学院;
【基金】：国家自然科学基金(No.31370075) 天津应用基础与前沿技术研究计划(No.14JCQNJC00300)
【分类号】：R440
本文编号：2321245
[Abstract]:At present, it is necessary to detect the IBD fragment by IBD mapping, and then to locate the pathogenic gene by using the IBD relationship. However, it takes a long time to find the IBD fragment. A new algorithm, FADG, was proposed to identify candidate IBD fragments by analyzing the relationship between IBS and IBD. Then the evaluation function was defined to analyze the case group and the control group, respectively. The most different SNP locus was the pathogenicity site. Through the analysis of the five main pathogenic sites and the simulated data generated by GS from the simulated data of rheumatoid arthritis provided by GAW15, the experimental results are consistent with the given pathogenicity sites of the data. Compared with the existing methods, the algorithm is efficient on the basis of finding the correct sites. Finally, two chromosomes in RA data were selected for permutation test to verify the reliability of the algorithm to obtain the pathogenic sites, and further eliminate the possibility of false positive results.
【作者单位】： 天津科技大学计算机科学与信息工程学院;
【基金】：国家自然科学基金(No.31370075) 天津应用基础与前沿技术研究计划(No.14JCQNJC00300)
【分类号】：R440
【相似文献】
相关期刊论文 前2条
1 张丕万;从致病基因下手[J];中关村;2004年04期
2 黄彬;鉴定细菌致病基因方法的新进展[J];国外医学.临床生物化学与检验学分册;1997年02期
相关会议论文 前2条
1 杜鹃;沈璐;唐北沙;;新的AD-HSP致病基因初步定位研究[A];中华医学会第十三次全国神经病学学术会议论文汇编[C];2010年
2 宋贵波;郑芳;;一个常染色体显性遗传视网膜色素变性家系致病基因的筛查[A];中华医学会第八次全国检验医学学术会议暨中华医学会检验分会成立30周年庆典大会资料汇编[C];2009年
相关硕士学位论文 前3条
1 韦贞乐;基于基因网络的致病基因预测算法研究[D];哈尔滨工业大学;2016年
2 刘笑逸;基于异构网络模型的致病基因预测算法[D];西安电子科技大学;2013年
3 张青芳;基于调控范围语义相似性的致病基因预测方法[D];西安电子科技大学;2014年
，本文编号：2321245
本文链接：https://www.wllwen.com/kejilunwen/jiyingongcheng/2321245.html
最近更新
教材专著
