REgulatory fine mapping - Shooshtari et al AJHG 2017

Figure 2 from Shooshtari et al, 2017: regulatory fine-mapping identifies CD58 as the likely causal gene for multiple sclerosis risk on chromosome 1.

Figure 2 from Shooshtari et al, 2017: regulatory fine-mapping identifies CD58 as the likely causal gene for multiple sclerosis risk on chromosome 1.

 

Integrative genetic and epigenetic analysis uncovers regulatory mechanisms of autoimmune disease

Shooshtari et al AJHG 101:75-86 2017

Genome-wide association studies in autoimmune and inflammatory diseases (AID) have uncovered hundreds of loci mediating risk. These associations are preferentially located in non-coding DNA regions and in particular to tissue--specific DNase I hypersensitivity sites (DHS). Whilst these analyses clearly demonstrate the overall enrichment of disease risk alleles on gene regulatory regions, they are not designed to identify individual regulatory regions mediating risk or the genes under their control, and thus uncover the specific molecular events driving disease risk. To do so we have departed from standard practice by identifying regulatory regions which replicate across samples, and connect them to the genes they control through robust re--analysis of public data. We find substantial evidence of regulatory potential in 132/301 (44%) risk loci across nine autoimmune and inflammatory diseases, and are able to prioritize a single gene in 104/132 (79%) of these. Thus, we are able to generate testable mechanistic hypotheses of the molecular changes that drive disease risk.