Figure 1: Breakdown of EGA studies by disease topic as of 2014.
From: The European Genome-phenome Archive of human data consented for biomedical research
The majority (57%) of EGA studies investigate cancer of various types. EGA experimental data describe the methodology employed for each study, which is represented by the different colors. Exome sequencing (38%) is the most common methodology, followed by whole-genome sequencing (29%), array-based technologies (20%), transcriptomics (9%) and epigenomics (3%). As one might expect, array-based experiments are typically from older studies, whereas both transcriptomic and epigenomic investigations are more recent. A complete list of the meta-data collated to create this graph is provided on the EGA website.
