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Article
License: CC BY NC
Data sources: UnpayWall
https://doi.org/10.1101/221416...
Article . 2017 . Peer-reviewed
Data sources: Crossref
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The association between the HLA-DRB1 shared epitope alleles and the risk of rheumatoid arthritis is influenced by massive gene-gene interactions

Authors: Diaz-Gallo, Lina-Marcela; Ramsköld, Daniel; Shchetynsky, Klementy; Folkersen, Lasse; Chemin, Karine; Brynedal, Boel; Uebe, Steffen; +4 Authors

The association between the HLA-DRB1 shared epitope alleles and the risk of rheumatoid arthritis is influenced by massive gene-gene interactions

Abstract

Abstract In anti-citrullinated protein antibody positive rheumatoid arthritis (ACPA-positive RA), a particular subset of HLA-DRB1 alleles, called shared epitope alleles (SE), is the highest genetic risk factor. Here, we aimed to investigate whether gene-gene interactions influence this HLA-DRB1 related major disease risk; specifically, we set out to test if non-HLA SNPs, conferring low diseases risk on their own, can modulate the HLA-DRB1 SE effect to develop ACPA-positive RA. To address this question, we computed the attributable proportion (AP) due to additive interaction at genome-wide level for two independent ACPA-positive RA cohorts: the Swedish EIRA and the North American NARAC. We found a strong enrichment of significant interactions (AP p-values<0.05) between the HLA-DRB1 SE alleles and a group of SNPs associated with ACPA-positive RA in both cohorts (Kolmogorov-Smirnov [KS] test D=0.35 for EIRA and D=0.25 for NARAC, p<2.2e-16 for both). Interestingly, 201 out of 1,492 SNPs in consistent interaction for both cohorts, were eQTLs in SE alleles context in PBMCs from ACPA-positive RA patients. Finally, we observed that the effect size of HLA-DRB1 SE alleles for disease decreases from 5.2 to 2.5 after discounting the risk alleles of the two top interacting SNPs (rs2476601 and rs10739581, AP FDR corrected p <0.05). Our data demonstrate that the association between the HLA-DRB1 SE alleles and the risk of ACPA-positive RA is modulated by massive genetic interactions with non-HLA genetic variants.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green