This opinion paper highlights strategies for a better understanding of non-Mendelian genetic
risk that was revealed by genome-wide association studies (GWAS) of complex diseases. The genetic
risk resides predominantly in non-coding regulatory DNA, such as in enhancers. The identification of
mechanisms, the causal variants (mainly SNPs), and their target genes are, however, not always apparent
but are likely involved in a network of risk determinants; the identification presents a bottle-neck in
the full understanding of the genetics of complex phenotypes. Here, we propose strategies to identify
functional SNPs and link risk enhancers with their target genes. The strategies are 1) identifying finemapped
SNPs that break/form response elements within chromatin bio-features in relevant cell types 2)
considering the nearest gene on linear DNA, 3) analyzing eQTLs, 4) mapping differential DNA methylation
regions and relating them to gene expression, 5) employing genomic editing with CRISPR/cas9
and 6) identifying topological associated chromatin domains using chromatin conformation capture.