A plethora of data can now be generated via GWA studies, RNA expression studies based on microarrays and RNA sequencing, DNA sequencing and methylation studies, studies of epigenetic changes in histones, and re-sequencing studies targeting both SNPs and CNVs. However, many research laboratories are understaffed and ill-equipped to face the informatics technology (IT) challenges inherent in these high throughput methodologies. Also, research is constrained by software and hardware capabilities to handle extensive clinical genetic databases. It should be noted that these issues are applicable to all genetic studies of complex diseases and have been covered in greater detail elsewhere; a brief discussion will be provided here.
