期刊
NATURE REVIEWS GENETICS
卷 14, 期 6, 页码 379-389出版社
NATURE PORTFOLIO
DOI: 10.1038/nrg3472
关键词
-
资金
- GEFOS [FP7-HEALTH-F2-2008-201865-GEFOS]
- TREATOA [FP7-HEALTH-F2-2008-200800-TREATOA]
Meta-analysis of genome-wide association studies (GWASs) has become a popular method for discovering genetic risk variants. Here, we overview both widely applied and newer statistical methods for GWAS meta-analysis, including issues of interpretation and assessment of sources of heterogeneity. We also discuss extensions of these meta-analysis methods to complex data. Where possible, we provide guidelines for researchers who are planning to use these methods. Furthermore, we address special issues that may arise for meta-analysis of sequencing data and rare variants. Finally, we discuss challenges and solutions surrounding the goals of making meta-analysis data publicly available and building powerful consortia.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据