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Review

The genetics of Crohn’s disease and ulcerative colitis – status quo and beyond

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Pages 13-23 | Received 02 Nov 2014, Accepted 18 Nov 2014, Published online: 19 Dec 2014

Figures & data

Table I. Large-scale association studies performed in IBD until 11/2014. The table likely misses important studies (mostly after 2010) and solely serves to illustrate that a large number of studies have been performed by many international groups and that sample sizes increased over time.

Figure 1. Risk allele frequency versus odds ratio plot. Data for 163 index SNPs were extracted from the latest meta-analysis on inflammatory bowel disease (IBD) [Citation2]. The risk allele frequency is plotted on the X-axis and shows that most identified alleles have a minor allele frequency >5%. Alleles can be protective (risk allele frequency >0.50) or exert risk (<0.50). The Y-axis shows the odds ratio and that almost all identified risk variants have an odds ratio <1.30 (corresponding to >0.77 for protective variants). Colors indicate whether the particular variant reached genome-wide significance for Crohn’s disease (CD) (red), ulcerative colitis (UC) (blue) or both diseases (green). The by far strongest UC-associated locus was the noncoding SNP rs6927022 (p = 4.71 × 10-133; OR [odds ratio] = 1.44; 95% CI = (1.39–1.50)) near the class I gene HLA-DQA1. However, more relevant UC-associated HLA-DRB1 alleles as DRB1*15:01, DRB1*07:01 and DRB1*01:03 show much larger effect sizes [Citation20].

Figure 1. Risk allele frequency versus odds ratio plot. Data for 163 index SNPs were extracted from the latest meta-analysis on inflammatory bowel disease (IBD) [Citation2]. The risk allele frequency is plotted on the X-axis and shows that most identified alleles have a minor allele frequency >5%. Alleles can be protective (risk allele frequency >0.50) or exert risk (<0.50). The Y-axis shows the odds ratio and that almost all identified risk variants have an odds ratio <1.30 (corresponding to >0.77 for protective variants). Colors indicate whether the particular variant reached genome-wide significance for Crohn’s disease (CD) (red), ulcerative colitis (UC) (blue) or both diseases (green). The by far strongest UC-associated locus was the noncoding SNP rs6927022 (p = 4.71 × 10-133; OR [odds ratio] = 1.44; 95% CI = (1.39–1.50)) near the class I gene HLA-DQA1. However, more relevant UC-associated HLA-DRB1 alleles as DRB1*15:01, DRB1*07:01 and DRB1*01:03 show much larger effect sizes [Citation20].

Figure 2. Inflammatory bowel disease (IBD) etiology as an example for a complex chronic inflammatory disease. In most patients (prevalence illustrated by dashed curve), IBD develops through (mostly unknown) environmental factors – also including the gut microbiome – that act on a genetically predisposed host. Yet, cases have been described where highly penetrant genetic mutations cause (monogenic) IBD. It is still discussed how relevant infections are in the onset of IBD. The gene–environment interactions (red arrows) are important in disease etiology and should be studied in more detail in the future. While genome-wide association studies (GWAS) are successful to identify common disease loci, linkage studies are more powerful to identify monogenic forms of IBD. Recently, exome-sequencing has been employed for these early-onset forms since next-generation sequencing provides single base pair resolution for mutation detection and also allows for de novo mutation detection. Modified from Kaser et al. [Citation83].

Figure 2. Inflammatory bowel disease (IBD) etiology as an example for a complex chronic inflammatory disease. In most patients (prevalence illustrated by dashed curve), IBD develops through (mostly unknown) environmental factors – also including the gut microbiome – that act on a genetically predisposed host. Yet, cases have been described where highly penetrant genetic mutations cause (monogenic) IBD. It is still discussed how relevant infections are in the onset of IBD. The gene–environment interactions (red arrows) are important in disease etiology and should be studied in more detail in the future. While genome-wide association studies (GWAS) are successful to identify common disease loci, linkage studies are more powerful to identify monogenic forms of IBD. Recently, exome-sequencing has been employed for these early-onset forms since next-generation sequencing provides single base pair resolution for mutation detection and also allows for de novo mutation detection. Modified from Kaser et al. [Citation83].