Case-only analysis of gene–gene interactions in inflammatory bowel disease

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Aleknonytė-Resch, Milda;Freitag-Wolf, Sandra;Schreiber, Stefan;Krawczak, Michael;Dempfle, Astrid

Description

Gene–gene interactions (G × G) potentially play a role in the etiology of complex human diseases, including inflammatory bowel disease (IBD), and may partially explain their ‘missing heritability’. Using the largest genotype dataset available for IBD (16,636 Crohn’s disease (CD) and 12,888 ulcerative colitis (UC) cases) we analyzed G × G with the powerful case-only (CO) design. We studied 169 single nucleotide polymorphisms (SNPs) for CD (156 for UC), previously shown to be associated with the respective diseases. To ensure the validity of the CO design, we confined our analysis to pairs of unlinked SNPs. We used principal component analysis at the center level to adjust for possible causes of genotypic association other than G × G, such as population stratification and genotyping batch effects. Results from center-wise logistic regression analyses were combined by a random effects meta-analysis. A number of nominally significant (p IL27 gene and rs9297145 in the KPNA7 gene region was characterized by an interaction odds ratio of 1.18 (95% CI: 1.10–1.27) for CD and a p-value of 7.75 × 10−6. Owing to the concurrent role of the IL27 and KPNA7 genes in NF-κB signaling, a master regulator of pro- and anti-inflammatory processes in IBD, the observed interaction also has biological plausibility. We were able to exemplify the utility of the CO design for analyzing G × G, but had to recognize that such interactions are probably scarce for IBD.

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Metrics

Dataset Index

0.3

FAIR Score

85%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Taylor & Francis

Assigned Domain

Subfield

Oncology

Field

Medicine

Domain

Health Sciences

Confidence Score

54%

Source

Scholar Data Model

Keywords

GeneticsFOS: Biological sciences39999 Chemical Sciences not elsewhere classifiedFOS: Chemical sciencesImmunologyFOS: Clinical medicine69999 Biological Sciences not elsewhere classifiedHematology

Normalization Factors

FT

13.46

CTw

1.00

MTw

1.00