False discovery rates and copy number variation

• 成果类型: Article
• 署名作者: Efron, Bradley; Zhang, Nancy R.
• 署名单位: Stanford University
• 刊物名称: BIOMETRIKA
• ISSN/ISSBN: 0006-3444
• DOI: 10.1093/biomet/asr018
• 发表日期: 2011
• 页码: 251271
• 关键词: array-cgh data; comparative genomic hybridization; high-resolution analysis; allelic-loss data; chromosomal-aberrations; microarrays; cancer; segmentation; genes; BAYES

摘要

Copy number changes, the gains and losses of chromosome segments, are a common type of genetic variation among healthy individuals as well as an important feature in tumour genomes. Microarray technology enables us to simultaneously measure, with moderate accuracy, copy number variation at more than a million chromosome locations and for hundreds of subjects. This leads to massive data sets and complicated inference problems concerning which locations are more likely to vary. In this paper we consider a relatively simple false discovery rate approach to copy number analysis. More careful parametric change-point methods can then be focused on promising regions of the genome.