全基因组DNA甲基化芯片数据批次效应的评价  

Evaluation of Batch Effects of Genome Wide Microarrays from the TCGA Database

作　　者：姚晨[1] 李红东[1] 郭政[2] 

机构地区：[1]电子科技大学生命学院生物信息中心和神经信息教育部重点实验室,成都610054 [2]哈尔滨医科大学生物信息科学与技术学院

出　　处：《数理医药学杂志》2011年第2期142-144,共3页Journal of Mathematical Medicine

基　　金：国家自然科学基金项目(编号:30770558;30970668;81071646);黑龙江省杰出青年基金(编号:JC200808)资助

摘　　要：DNA甲基化芯片已广泛应用于癌症研究。但是有研究表明批次效应对基于高通量数据的研究有很大影响。癌症基因组计划(TCGA)数据库包含大量的不同批次的高通量甲基化数据。通过分析TCGA中7种癌症的数据,发现批次效应在各种类型的癌症数据中都广泛存在,可能会导致错误的生物学分析结论。最后,建议用一个简单的方法来避免批次效应。Genome-wide methylation microarrays were widely used in cancer research. However, recent research suggested batch effects in high throughput data were often overlooked and lead to incorrect conclusions. The Cancer Genome Atlas （TCGA） database contained many methylation array datasets which were preformed on different batches. Here, we analyzed datasets from 7 cancer types in TCGA database. We found batch effects were widespread for each cancer. Then we showed ignoring the batch effects would lead to incorrect biological conclusions. At last, we suggested a simple choice to avoid batch effects.

关 键 词：TCGA 批次效应 甲基化芯片 

分 类 号：R318.04[医药卫生—生物医学工程]