Challenges of Epigenome-wide Association Studies: Optimizing Analytic Methods to Identify Important Methylation Marks
This workshop will bring together leading scientists concerned with the analysis and interpretation of genome- methylation data in an effort to develop recommendations for epigenome-wide data analyses. The past few years have seen rapid progress in epigenome-wide methylation analyses including methylation microarrays, reduced representation approaches, and seq-based methods. As the number of CpGs covered by these methods increases and we learn more about interdependence with other genetic and epigenetic signals, the statistical analyses to make sense of the large amounts of information have become more complex. Little guidance on standard analytic approaches exists, resulting in different interpretation of the same information by different analysts. The large consortia like IHEC, the Roadmap Initiative, Blue Print, and several others will require standardized experimental design and epigenome-wide data analyses.