Outlier detection and false discovery rates for whole-genome DNA matching

• 成果类型: Article
• 署名作者: Tzeng, JY; Byerley, W; Devlin, B; Roeder, K; Wasserman, L
• 署名单位: Carnegie Mellon University; University of California System; University of California Irvine; Pennsylvania Commonwealth System of Higher Education (PCSHE); University of Pittsburgh; Western Psychiatric Institute & Clinic of UPMC
• 刊物名称: JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
• ISSN/ISSBN: 0162-1459
• DOI: 10.1198/016214503388619256
• 发表日期: 2003
• 页码: 236-246
• 关键词: linkage disequilibrium

摘要

We define a statistic, called the matching statistic, for locating regions of the genome that exhibit excess similarity among cases when compared to controls. Such regions are reasonable candidates for harboring disease genes. We find the asymptotic distribution of the statistic while accounting for correlations among sampled individuals. We then use the Benjamini and Hochberg false discovery rate (FDR) method for multiple hypothesis testing to find regions of excess sharing. The p values for each region involve estimated nuisance parameters. Under appropriate conditions, we show that the FDR method based on p values and with estimated nuisance parameters asymptotically preserves the FDR property. Finally, we apply the method to a pilot study on schizophrenia.