Genome Research · 2013 · 392 citations · 40 references
Life SciencesGeneticsMolecular GeneticsAutoimmunityGenomicsImmunogeneticsAutoimmune Disease Susceptibility GenesDisease Susceptibility LociEnhancer FunctionGenetic Susceptibility To AutoimmunityGenome-wide Association StudiesGenotype-phenotype Association AnalysisEnhancer ElementsEnhancer InteractionsEnhancer Variant EffectsEnhancer VariantsEnhancersGenetic PolymorphismsGenome-wide Association MappingLinkage Disequilibrium Analysis
Common trait‑associated SNPs frequently lie in noncoding enhancer elements, and GWAS loci often harbor multiple linked SNPs whose individual effects on gene expression remain difficult to resolve. We applied a new enhancer–gene mapping approach, using HapMap B‑lymphoblast data, to demonstrate that multiple enhancer variants in a locus usually regulate the same target gene. Our analyses of six autoimmune diseases show that GWAS signals stem from clusters of linked enhancer variants that cooperatively modulate target gene expression, with modest gain‑ or loss‑of‑function effects on functionally related genes, supporting a multiple‑enhancer‑variant model for common trait susceptibility.
DNA variants (SNPs) that predispose to common traits often localize within noncoding regulatory elements such as enhancers. Moreover, loci identified by genome-wide association studies (GWAS) often contain multiple SNPs in linkage disequilibrium (LD), any of which may be causal. Thus, determining the effect of these multiple variant SNPs on target transcript levels has been a major challenge. Here, we provide evidence that for six common autoimmune disorders (rheumatoid arthritis, Crohn's disease, celiac disease, multiple sclerosis, lupus, and ulcerative colitis), the GWAS association arises from multiple polymorphisms in LD that map to clusters of enhancer elements active in the same cell type. This finding suggests a “multiple enhancer variant” hypothesis for common traits, where several variants in LD impact multiple enhancers and cooperatively affect gene expression. Using a novel method to delineate enhancer–gene interactions, we show that multiple enhancer variants within a given locus typically target the same gene. Using available data from HapMap and B lymphoblasts as a model system, we provide evidence at numerous loci that multiple enhancer variants cooperatively contribute to altered expression of their gene targets. The effects on target transcript levels tend to be modest and can be either gain- or loss-of-function. Additionally, the genes associated with multiple enhancer variants encode proteins that are often functionally related and enriched in common pathways. Overall, the multiple enhancer variant hypothesis offers a new paradigm by which noncoding variants can confer susceptibility to common traits.
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