Background Inflammatory bowel disease (IBD) is an idiopathic, chronic disorder of unclear etiology with an underlying genetic predisposition. Recent genome-wide association studies have identified more than 200 IBD susceptibility loci, but the causes of IBD remain poorly defined. We hypothesized that rare (<0.1% population frequency) gene copy number variations (CNVs) could play an important mechanism for risk of IBD. We aimed to examine changes in DNA copy number in a population-based cohort of patients with IBD and search for novel genetic risk factors for IBD. Methods DNA samples from 243 individuals with IBD from the Manitoba IBD Cohort Study and 2988 healthy controls were analyzed using genome-wide SNP microarray technology. Three CNV calling algorithms were applied to maximize sensitivity and specificity of CNV detection. We identified IBD-associated genes affected by rare CNV from comparing the number of overlapping CNVs in IBD samples with the number of overlapping CNVs in controls for each gene. Results 4,402 CNVs detected by two or three algorithms intersected 7,061 genes, in at least one analyzed sample. Four genes (e.g. DUSP22 and IP6K3 ) intersected by rare deletions and fourteen genes (e.g. SLC25A10 , PSPN , GTF2F1 ) intersected by rare duplications demonstrated significant association with IBD (FDR-adjusted p-value < 0.01). Of these, ten genes were functionally related to immune response and intracellular signalling pathways. Some of these genes were also identified in other IBD related genome-wide association studies. These suggested that the identified genes may play a role in the risk of IBD. Conclusion Our results revealed new genomic loci associated with IBD, which suggested the role of rare CNVs in IBD risk.

Genomes of higher eukaryotes are mosaics of segments with various structural, functional, and evolutionary properties. The availability of whole-genome sequences allows the investigation of their structure as “texts” using different statistical and computational methods. One such method, referred to as Compositional Spectra (CS) analysis, is based on scoring the occurrences of fixed-length oligonucleotides (k-mers) in the target DNA sequence. CS analysis allows generating species- or region-specific characteristics of the genome, regardless of their length and the presence of coding DNA. In this study, we consider the heterogeneity of vertebrate genomes as a joint effect of regional variation in sequence organization superimposed on the differences in nucleotide composition. We estimated compositional and organizational heterogeneity of genome and chromosome sequences separately and found that both heterogeneity types vary widely among genomes as well as among chromosomes in all investigated taxonomic groups. The high correspondence of heterogeneity scores obtained on three genome fractions, coding, repetitive, and the remaining part of the noncoding DNA (the genome dark matter - GDM) allows the assumption that CS-heterogeneity may have functional relevance to genome regulation. Of special interest for such interpretation is the fact that natural GDM sequences display the highest deviation from the corresponding reshuffled sequences.

Background: Recent studies discovered many genetic variants associated with both psychiatric and inflammatory disorders, but the role of genetic factors in the development of psychiatric comorbidity (PC) in inflammatory bowel disease (IBD) is underexplored. Particularly, it has been shown that some of the genetic variants have been linked to the concentrations of circulating cytokines and symptoms of the inflammatory cytokine-associated depression. We analysed genomic features of individuals with IBD by comparing IBD patients with PC with those who have IBD but without PC. We hypothesized that cytokine related signaling pathways may be significantly associated with the psychiatric comorbidity in patients with IBD.Methods: Individuals enrolled in the Manitoba IBD Cohort Study were separated to two groups accordingly to the presence of PC. A sample set comprising 97 IBD individuals with PC (IBD+PC) and 146 IBD individuals without PC (IBD) was first used to identify copy number variations (CNVs) from genome-wide genetic data using three different detection algorithms. IBD+PC and IBD groups were compared by the number of CNVs overlapping each gene; deletions and duplications were analysed separately. Gene set overrepresentation analysis was then conducted using CNV-overlapped genes and the candidate gene sets of neurological and immunological relevance.Results: Medium-sized CNV (size between 100 and 500 kilobase pairs)-burden is significantly higher in IBD+PC than IBD groups. Gene-based CNV association analysis did not show significant differences between the two IBD groups. Gene set overrepresentation analysis