reasonably have been predicted, SNPs do not equally contribute to the AD risk (nor do chromosome or functional units; chromosome 4 (physical region) and regions within 20kb of genes (functional region) contribute more). Thus, incorporating biologically relevant information could be an effective way to prioritize SNPs. Other examples of this general strategic approach include use of eQTLs related to brain function, or regulatory regions annotated from ENCODE data. We expect that more genetic risk variants can be identified by simultaneously integrating multiple GWAS data sets and multiple sources of biological relevant information.
