GWAS analyses have identified susceptibility loci for many complex diseases, but the majority of risk for any disorder remains un-attributed. Obtaining sufficient samples to extract a high proportion of that component of disease risk attributable to common variants is unlikely to realized in the near future, and this is particularly true for psychiatric disorders where sample collection is particularly challenging. There is therefore scope for complementary approaches to GWAS datasets.
