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Phenotypic associations of genetic susceptibility loci in systemic lupus erythematosus

Authors :
Marta E. Alarcón-Riquelme
So-Yeon Park
So Young Bang
Elena Sánchez
Elizabeth E. Brown
Ajay Nadig
Joan T. Merrill
Bruce C. Richardson
Javier Martin
Kenneth M. Kaufman
Gary S. Gilkeson
Juan-Manuel Anaya
Diane L. Kamen
Timothy B. Niewold
Julie T. Ziegler
John B. Harley
Amr H. Sawalha
Lindsey A. Criswell
Barry I. Freedman
Patrick M. Gaffney
Timothy J. Vyse
Rosalind Ramsey-Goldman
John D. Reveille
Jennifer A. Kelly
Michelle Petri
Betty P. Tsao
Bernardo A. Pons-Estel
Chaim O. Jacob
Luis M. Vilá
Graciela S. Alarcón
Judith A. James
Robert P. Kimberly
Carl D. Langefeld
Sang Cheol Bae
Jeffrey C. Edberg
Kathy L. Moser
Source :
Repositorio EdocUR-U. Rosario, Universidad del Rosario, instacron:Universidad del Rosario
Publication Year :
2011

Abstract

ObjectiveSystemic lupus erythematosus is a clinically heterogeneous autoimmune disease. A number of genetic loci that increase lupus susceptibility have been established. This study examines if these genetic loci also contribute to the clinical heterogeneity in lupus.Materials and methods4001 European-derived, 1547 Hispanic, 1590 African-American and 1191 Asian lupus patients were genotyped for 16 confirmed lupus susceptibility loci. Ancestry informative markers were genotyped to calculate and adjust for admixture. The association between the risk allele in each locus was determined and compared in patients with and without the various clinical manifestations included in the ACR criteria.ResultsRenal disorder was significantly correlated with the lupus risk allele in ITGAM (p=5.0×10−6, OR 1.25, 95% CI 1.12 to 1.35) and in TNFSF4 (p=0.0013, OR 1.14, 95% CI 1.07 to 1.25). Other significant findings include the association between risk alleles in FCGR2A and malar rash (p=0.0031, OR 1.11, 95% CI 1.17 to 1.33), ITGAM and discoid rash (p=0.0020, OR 1.20, 95% CI 1.06 to 1.33), STAT4 and protection from oral ulcers (p=0.0027, OR 0.89, 95% CI 0.83 to 0.96) and IL21 and haematological disorder (p=0.0027, OR 1.13, 95% CI 1.04 to 1.22). All these associations are significant with a false discovery rate of ConclusionSignifi cant associations were found between clinical manifestations and the FCGR2A, ITGAM, STAT4, TNSF4 and IL21 genes. The findings suggest that genetic profiling might be a useful tool to predict disease manifestations in lupus patients in the future.

Details

ISSN :
14682060
Volume :
70
Issue :
10
Database :
OpenAIRE
Journal :
Annals of the rheumatic diseases
Accession number :
edsair.doi.dedup.....152cf903c87ae4accb095c05d522261c