Identification of IRX1 as a risk locus for rheumatoid factor positivity in rheumatoid arthritis in a genome-wide association study

UDC.coleccionInvestigación
UDC.departamentoFisioterapia, Medicina e Ciencias Biomédicas
UDC.endPage1391
UDC.grupoInvReumatoloxía (INIBIC)
UDC.institutoCentroINIBIC - Instituto de Investigacións Biomédicas de A Coruña
UDC.issue6
UDC.journalTitleArthritis and Rheumatology
UDC.startPage1384
UDC.volume68
dc.contributor.authorJuliá, Antonio
dc.contributor.authorBlanco García, Francisco J
dc.contributor.authorFernández-Gutiérrez, Benjamín
dc.contributor.authorGonzález, Antonio
dc.contributor.authorCañete, Juan D.
dc.contributor.authorMaymó, Joan
dc.contributor.authorAlperi-López, Mercedes
dc.contributor.authorOlivé, Alex
dc.contributor.authorCorominas, Héctor
dc.contributor.authorMartínez-Taboada, Víctor
dc.contributor.authorGonzález-Álvaro, Isidoro
dc.contributor.authorFernández-Nebro, Antonio
dc.contributor.authorErra, Alba
dc.contributor.authorSánchez-Fernández, Simón
dc.contributor.authorAlonso, Arnald
dc.contributor.authorLópez Lasanta, María
dc.contributor.authorTortosa, Raül
dc.contributor.authorCodó, Laia
dc.contributor.authorGelpi, Josep Lluis
dc.contributor.authorGarcía-Montero, Andrés C.
dc.contributor.authorBertranpetit, Jaume
dc.contributor.authorAbsher, Devin M.
dc.contributor.authorMyers, Richard M.
dc.contributor.authorTornero, Jesús
dc.contributor.authorMarsal, Sara
dc.date.accessioned2026-06-26T10:46:49Z
dc.date.available2026-06-26T10:46:49Z
dc.date.issued2016-01-27
dc.description.abstract[Abstract] Objective: Rheumatoid factor (RF) is a well-established diagnostic and prognostic biomarker in rheumatoid arthritis (RA). However, ∼20% of RA patients are negative for this anti-IgG antibody. To date, only variation at the HLA-DRB1 gene has been associated with the presence of RF. This study was undertaken to identify additional genetic variants associated with RF positivity. Methods: A genome-wide association study (GWAS) for RF positivity was performed using an Illumina Quad610 genotyping platform. A total of 937 RF-positive and 323 RF-negative RA patients were genotyped for >550,000 single-nucleotide polymorphisms (SNPs). Association testing was performed using an allelic chi-square test implemented in Plink software. An independent cohort of 472 RF-positive and 190 RF-negative RA patients was used to validate the most significant findings. Results: In the discovery stage, a SNP in the IRX1 locus on chromosome 5p15.3 (SNP rs1502644) showed a genome-wide significant association with RF positivity (P = 4.13 × 10(-8) , odds ratio [OR] 0.37 [95% confidence interval (95% CI) 0.26-0.53]). In the validation stage, the association of IRX1 with RF was replicated in an independent group of RA patients (P = 0.034, OR 0.58 [95% CI 0.35-0.97] and combined P = 1.14 × 10(-8) , OR 0.43 [95% CI 0.32-0.58]). Conclusion: To our knowledge, this is the first GWAS of RF positivity in RA. Variation at the IRX1 locus on chromosome 5p15.3 is associated with the presence of RF. Our findings indicate that IRX1 and HLA-DRB1 are the strongest genetic factors for RF production in RA.
dc.identifier.citationJulià A, Blanco F, Fernández-Gutierrez B, González A, Cañete JD, Maymó J, Alperi-López M, Olivè A, Corominas H, Martínez-Taboada V, González-Álvaro I, Fernandez-Nebro A, Erra A, Sánchez-Fernández S, Alonso A, López-Lasanta M, Tortosa R, Codó L, Lluis Gelpi J, García-Montero AC, Bertranpetit J, Absher D, Myers RM, Tornero J, Marsal S. Identification of IRX1 as a risk locus for rheumatoid factor positivity in rheumatoid arthritis in a genome-wide association study. Arthritis Rheumatol. 2016 Jun;68(6):1384-91.
dc.identifier.doi10.1002/ART.39591
dc.identifier.issn2326-5205
dc.identifier.urihttps://hdl.handle.net/2183/48663
dc.language.isoeng
dc.publisherJohn Wiley & Sons
dc.relation.urihttps://doi.org/10.1002/ART.39591
dc.rightsThis is the peer reviewed version of the article which has been published in final form at Arthritis and Rheumatology. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited.
dc.rights.accessRightsopen access
dc.subjectArthritis, Rheumatoid
dc.subjectGenetic Loci
dc.subjectHomeodomain Proteins
dc.subjectRheumatoid Factor
dc.subjectTranscription Factors
dc.titleIdentification of IRX1 as a risk locus for rheumatoid factor positivity in rheumatoid arthritis in a genome-wide association study
dc.typejournal article
dc.type.hasVersionAM
dspace.entity.typePublication
relation.isAuthorOfPublicationf357279a-035a-4279-a553-99cfd79bd2bb
relation.isAuthorOfPublication.latestForDiscoveryf357279a-035a-4279-a553-99cfd79bd2bb

Files

Original bundle

Now showing 1 - 3 of 3
Loading...
Thumbnail Image
Name:
Julia_Identification_2016.pdf
Size:
497.76 KB
Format:
Adobe Portable Document Format
Loading...
Thumbnail Image
Name:
Julia_Identification_2016_Suppl_1.doc
Size:
34 KB
Format:
Microsoft Word
Description:
Supplementary Figure S1. RA GWAS cohort according to the two principal components of variation. PCA was used to identify the main axes of variation of the RA cohort used to identify genetic variation associated with RF-positivity in the discovery (GWAS) phase. The top 10 principal components of variation were used to iteratively remove those individuals with a differential genetic background (i.e. >6 standard deviations from any PC, n=35). This figure represents the distribution of the RA cases (blue dots, n=1,178) and a cohort of healthy controls from the same ancestry (green dots, n=1,493) according to the two principal components of variation after discarding the outliers.
Loading...
Thumbnail Image
Name:
Julia_Identification_2016_Suppl_2.doc
Size:
58.5 KB
Format:
Microsoft Word
Description:
Supplementary Table T1. List of top hits in the GWAS for RF-positivity.