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Systematic approach demonstrates enrichment of multiple interactions between non-HLA risk variants and HLA-DRB1 risk alleles in rheumatoid arthritis

OBJECTIVE: In anti-citrullinated protein antibody positive rheumatoid arthritis (ACPA-positive RA), a particular subset of HLA-DRB1 alleles, called shared epitope (SE) alleles, is a highly influential genetic risk factor. Here, we investigated whether non-HLA single nucleotide polymorphisms (SNP), c...

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Autores principales: Diaz-Gallo, Lina-Marcela, Ramsköld, Daniel, Shchetynsky, Klementy, Folkersen, Lasse, Chemin, Karine, Brynedal, Boel, Uebe, Steffen, Okada, Yukinori, Alfredsson, Lars, Klareskog, Lars, Padyukov, Leonid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6161669/
https://www.ncbi.nlm.nih.gov/pubmed/29967194
http://dx.doi.org/10.1136/annrheumdis-2018-213412
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author Diaz-Gallo, Lina-Marcela
Ramsköld, Daniel
Shchetynsky, Klementy
Folkersen, Lasse
Chemin, Karine
Brynedal, Boel
Uebe, Steffen
Okada, Yukinori
Alfredsson, Lars
Klareskog, Lars
Padyukov, Leonid
author_facet Diaz-Gallo, Lina-Marcela
Ramsköld, Daniel
Shchetynsky, Klementy
Folkersen, Lasse
Chemin, Karine
Brynedal, Boel
Uebe, Steffen
Okada, Yukinori
Alfredsson, Lars
Klareskog, Lars
Padyukov, Leonid
author_sort Diaz-Gallo, Lina-Marcela
collection PubMed
description OBJECTIVE: In anti-citrullinated protein antibody positive rheumatoid arthritis (ACPA-positive RA), a particular subset of HLA-DRB1 alleles, called shared epitope (SE) alleles, is a highly influential genetic risk factor. Here, we investigated whether non-HLA single nucleotide polymorphisms (SNP), conferring low disease risk on their own, interact with SE alleles more frequently than expected by chance and if such genetic interactions influence the HLA-DRB1 SE effect concerning risk to ACPA-positive RA. METHODS: We computed the attributable proportion (AP) due to additive interaction at genome-wide level for two independent ACPA-positive RA cohorts: the Swedish epidemiological investigation of rheumatoid arthritis (EIRA) and the North American rheumatoid arthritis consortium (NARAC). Then, we tested for differences in the AP p value distributions observed for two groups of SNPs, non-associated and associated with disease. We also evaluated whether the SNPs in interaction with HLA-DRB1 were cis-eQTLs in the SE alleles context in peripheral blood mononuclear cells from patients with ACPA-positive RA (SE-eQTLs). RESULTS: We found a strong enrichment of significant interactions (AP p<0.05) between the HLA-DRB1 SE alleles and the group of SNPs associated with ACPA-positive RA in both cohorts (Kolmogorov-Smirnov test D=0.35 for EIRA and D=0.25 for NARAC, p<2.2e-16 for both). Interestingly, 564 out of 1492 SNPs in consistent interaction for both cohorts were significant SE-eQTLs. Finally, we observed that the effect size of HLA-DRB1 SE alleles for disease decreases from 5.2 to 2.5 after removal of the risk alleles of the two top interacting SNPs (rs2476601 and rs10739581). CONCLUSION: Our data demonstrate that there are massive genetic interactions between the HLA-DRB1 SE alleles and non-HLA genetic variants in ACPA-positive RA.
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spelling pubmed-61616692018-10-01 Systematic approach demonstrates enrichment of multiple interactions between non-HLA risk variants and HLA-DRB1 risk alleles in rheumatoid arthritis Diaz-Gallo, Lina-Marcela Ramsköld, Daniel Shchetynsky, Klementy Folkersen, Lasse Chemin, Karine Brynedal, Boel Uebe, Steffen Okada, Yukinori Alfredsson, Lars Klareskog, Lars Padyukov, Leonid Ann Rheum Dis Basic and Translational Research OBJECTIVE: In anti-citrullinated protein antibody positive rheumatoid arthritis (ACPA-positive RA), a particular subset of HLA-DRB1 alleles, called shared epitope (SE) alleles, is a highly influential genetic risk factor. Here, we investigated whether non-HLA single nucleotide polymorphisms (SNP), conferring low disease risk on their own, interact with SE alleles more frequently than expected by chance and if such genetic interactions influence the HLA-DRB1 SE effect concerning risk to ACPA-positive RA. METHODS: We computed the attributable proportion (AP) due to additive interaction at genome-wide level for two independent ACPA-positive RA cohorts: the Swedish epidemiological investigation of rheumatoid arthritis (EIRA) and the North American rheumatoid arthritis consortium (NARAC). Then, we tested for differences in the AP p value distributions observed for two groups of SNPs, non-associated and associated with disease. We also evaluated whether the SNPs in interaction with HLA-DRB1 were cis-eQTLs in the SE alleles context in peripheral blood mononuclear cells from patients with ACPA-positive RA (SE-eQTLs). RESULTS: We found a strong enrichment of significant interactions (AP p<0.05) between the HLA-DRB1 SE alleles and the group of SNPs associated with ACPA-positive RA in both cohorts (Kolmogorov-Smirnov test D=0.35 for EIRA and D=0.25 for NARAC, p<2.2e-16 for both). Interestingly, 564 out of 1492 SNPs in consistent interaction for both cohorts were significant SE-eQTLs. Finally, we observed that the effect size of HLA-DRB1 SE alleles for disease decreases from 5.2 to 2.5 after removal of the risk alleles of the two top interacting SNPs (rs2476601 and rs10739581). CONCLUSION: Our data demonstrate that there are massive genetic interactions between the HLA-DRB1 SE alleles and non-HLA genetic variants in ACPA-positive RA. BMJ Publishing Group 2018-10 2018-07-02 /pmc/articles/PMC6161669/ /pubmed/29967194 http://dx.doi.org/10.1136/annrheumdis-2018-213412 Text en © Author(s) (or their employer(s)) 2018. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Basic and Translational Research
Diaz-Gallo, Lina-Marcela
Ramsköld, Daniel
Shchetynsky, Klementy
Folkersen, Lasse
Chemin, Karine
Brynedal, Boel
Uebe, Steffen
Okada, Yukinori
Alfredsson, Lars
Klareskog, Lars
Padyukov, Leonid
Systematic approach demonstrates enrichment of multiple interactions between non-HLA risk variants and HLA-DRB1 risk alleles in rheumatoid arthritis
title Systematic approach demonstrates enrichment of multiple interactions between non-HLA risk variants and HLA-DRB1 risk alleles in rheumatoid arthritis
title_full Systematic approach demonstrates enrichment of multiple interactions between non-HLA risk variants and HLA-DRB1 risk alleles in rheumatoid arthritis
title_fullStr Systematic approach demonstrates enrichment of multiple interactions between non-HLA risk variants and HLA-DRB1 risk alleles in rheumatoid arthritis
title_full_unstemmed Systematic approach demonstrates enrichment of multiple interactions between non-HLA risk variants and HLA-DRB1 risk alleles in rheumatoid arthritis
title_short Systematic approach demonstrates enrichment of multiple interactions between non-HLA risk variants and HLA-DRB1 risk alleles in rheumatoid arthritis
title_sort systematic approach demonstrates enrichment of multiple interactions between non-hla risk variants and hla-drb1 risk alleles in rheumatoid arthritis
topic Basic and Translational Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6161669/
https://www.ncbi.nlm.nih.gov/pubmed/29967194
http://dx.doi.org/10.1136/annrheumdis-2018-213412
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