MIT Libraries logoDSpace@MIT

MIT
View Item 
  • DSpace@MIT Home
  • MIT Open Access Articles
  • MIT Open Access Articles
  • View Item
  • DSpace@MIT Home
  • MIT Open Access Articles
  • MIT Open Access Articles
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Autoantibodies, autoimmune risk alleles and clinical associations in rheumatoid arthritis cases and non-RA controls in the electronic medical records

Author(s)
Liao, Katherine P.; Kurreeman, Fina; Li, Gang; Duclos, Grant; Murphy, Shawn N.; Guzman, Raul; Cai, Tianxi; Gupta, Namrata; Gainer, Vivian; Schur, Peter; Cui, Jing; Denny, Joshua C.; Szolovits, Peter; Churchill, Susanne; Kohane, Isaac; Karlson, Elizabeth W.; Plenge, Robert M.; ... Show more Show less
Thumbnail
DownloadSzolovits_Associations of.pdf (845.0Kb)
OPEN_ACCESS_POLICY

Open Access Policy

Creative Commons Attribution-Noncommercial-Share Alike

Alternative title
Associations of autoantibodies, autoimmune risk alleles, and clinical diagnoses from the electronic medical records in rheumatoid arthritis cases and non-rheumatoid arthritis controls
Terms of use
Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/
Metadata
Show full item record
Abstract
Objective: The significance of non–rheumatoid arthritis (RA) autoantibodies in patients with RA is unclear. The aim of this study was to assess associations of autoantibodies with autoimmune risk alleles and with clinical diagnoses from the electronic medical records (EMRs) among RA cases and non-RA controls. Methods: Data on 1,290 RA cases and 1,236 non-RA controls of European genetic ancestry were obtained from the EMRs of 2 large academic centers. The levels of anti–citrullinated protein antibodies (ACPAs), antinuclear antibodies (ANAs), anti–tissue transglutaminase antibodies (AGTAs), and anti–thyroid peroxidase (anti-TPO) antibodies were measured. All subjects were genotyped for autoimmune risk alleles, and the association between number of autoimmune risk alleles present and number of types of autoantibodies present was studied. A phenome-wide association study (PheWAS) was conducted to study potential associations between autoantibodies and clinical diagnoses among RA cases and non-RA controls. Results: The mean ages were 60.7 years in RA cases and 64.6 years in non-RA controls. The proportion of female subjects was 79% in each group. The prevalence of ACPAs and ANAs was higher in RA cases compared to controls (each P < 0.0001); there were no differences in the prevalence of anti-TPO antibodies and AGTAs. Carriage of higher numbers of autoimmune risk alleles was associated with increasing numbers of autoantibody types in RA cases (P = 2.1 × 10[superscript −5]) and non-RA controls (P = 5.0 × 10[superscript −3]). From the PheWAS, the presence of ANAs was significantly associated with a diagnosis of Sjögren's/sicca syndrome in RA cases. Conclusion: The increased frequency of autoantibodies in RA cases and non-RA controls was associated with the number of autoimmune risk alleles carried by an individual. PheWAS of EMR data, with linkage to laboratory data obtained from blood samples, provide a novel method to test for the clinical significance of biomarkers in disease.
Date issued
2013-03
URI
http://hdl.handle.net/1721.1/90919
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Journal
Arthritis & Rheumatism
Publisher
Wiley Blackwell
Citation
Liao, Katherine P., Fina Kurreeman, Gang Li, Grant Duclos, Shawn Murphy, Raul Guzman, Tianxi Cai, et al. “Associations of Autoantibodies, Autoimmune Risk Alleles, and Clinical Diagnoses from the Electronic Medical Records in Rheumatoid Arthritis Cases and Non-Rheumatoid Arthritis Controls.” Arthritis & Rheumatism 65, no. 3 (February 25, 2013): 571–581.
Version: Author's final manuscript
ISSN
00043591
1529-0131

Collections
  • MIT Open Access Articles

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

Login

Statistics

OA StatisticsStatistics by CountryStatistics by Department
MIT Libraries
PrivacyPermissionsAccessibilityContact us
MIT
Content created by the MIT Libraries, CC BY-NC unless otherwise noted. Notify us about copyright concerns.