with results from GWAS in other complex disorders such as schizophrenia, using a different analytical approach60. Incorporating these loci into risk models should substantially improve disease prediction, even if not all loci can be identified individually. Moreover, fine-scale mapping of the identified regions may uncover more of the missing heritability, either through identifying a more strongly associated variant (as found for the CCND1 locus; see French et al.61) or by identifying additional signals (exemplified for the TERT region in Bojesen et al.62). Genetic profiling using these common susceptibility loci in combination with rarer high-risk loci and other risk factors may provide a rational basis for targeted breast cancer prevention.
