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. 2017 Feb;69(2):291-300.
doi: 10.1002/art.39851.

Phenome-Wide Association Study of Rheumatoid Arthritis Subgroups Identifies Association Between Seronegative Disease and Fibromyalgia

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Phenome-Wide Association Study of Rheumatoid Arthritis Subgroups Identifies Association Between Seronegative Disease and Fibromyalgia

Jayanth Doss et al. Arthritis Rheumatol. 2017 Feb.

Abstract

Objective: The differences between seronegative and seropositive rheumatoid arthritis (RA) have not been widely reported. We performed electronic health record (EHR)-based phenome-wide association studies (PheWAS) to identify disease associations in seropositive and seronegative RA.

Methods: A validated algorithm identified RA subjects from the de-identified version of the Vanderbilt University Medical Center EHR. Serotypes were determined by rheumatoid factor (RF) and anti-cyclic citrullinated peptide antibody (ACPA) values. We tested EHR-derived phenotypes using PheWAS comparing seropositive RA and seronegative RA, yielding disease associations. PheWAS was also performed in RF-positive versus RF-negative subjects and ACPA-positive versus ACPA-negative subjects. Following PheWAS, select phenotypes were then manually reviewed, and fibromyalgia was specifically evaluated using a validated algorithm.

Results: A total of 2,199 RA individuals with either RF or ACPA testing were identified. Of these, 1,382 patients (63%) were classified as seropositive. Seronegative RA was associated with myalgia and myositis (odds ratio [OR] 2.1, P = 3.7 × 10-10 ) and back pain. A manual review of the health record showed that among subjects coded for Myalgia and Myositis, ∼80% had fibromyalgia. Follow-up with a specific EHR algorithm for fibromyalgia confirmed that seronegative RA was associated with fibromyalgia (OR 1.8, P = 4.0 × 10-6 ). Seropositive RA was associated with chronic airway obstruction (OR 2.2, P = 1.4 × 10-4 ) and tobacco use (OR 2.2, P = 7.0 × 10-4 ).

Conclusion: This PheWAS of RA patients identifies a strong association between seronegativity and fibromyalgia. It also affirms relationships between seropositivity and chronic airway obstruction and between seropositivity and tobacco use. These findings demonstrate the utility of the PheWAS approach to discover novel phenotype associations within different subgroups of a disease.

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Conflict of interest statement

Disclosures/Conflicts of Interest: Jayanth Doss – None Huan Mo – None Robert Carroll - None Leslie Crofford - None Josh Denny - None

Figures

Figure 1
Figure 1
PheWAS Manhattan plots of rheumatoid arthritis (RA) patients comparing serotypes and serologies. The horizontal red lines designate FDR = 0.05. Downward arrows (▼) represent phenotypes associated with seronegative RA. Upward arrows (▲) represent phenotypes associated with seropositive RA. A. PheWAS Manhattan plot of seropositive vs seronegative RA patients. B. PheWAS Manhattan plot of RF (rheumatoid factor) positive vs RF negative RA patients. C. PheWAS plot of ACPA (anti-citrullinated peptide antibody) positive vs ACPA negative RA patients.
Figure 2
Figure 2
Histogram displaying number of days between first rheumatoid arthritis (RA) diagnostic code and first fibromyalgia diagnostic code. Each bar represents 365 days. Days > 0 denotes number of days RA was coded before fibromyalgia and Days < 0 denotes number of days fibromyalgia was coded before RA.

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References

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