Prediction of Future Rheumatoid Arthritis

• Published in: Rheumatic diseases clinics of North America Vol. 40; no. 4; pp. 753 - 770
• Main Authors: Turk, Samina A., MD, van Beers-Tas, Marian H., MD, van Schaardenburg, Dirkjan, MD, PhD
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01-11-2014
• Subjects: Alcohol Abstinence - statistics & numerical data; Arthralgia; Arthritis, Rheumatoid - epidemiology; Arthritis, Rheumatoid - genetics; Arthritis, Rheumatoid - immunology; Autoantibodies; Autoantibodies - immunology; Biomarkers; Birth Weight; Diabetes Mellitus - epidemiology; Environmental; Female; Genetic Predisposition to Disease; Humans; Male; Mass Screening; Obesity - epidemiology; Prediction; Reproductive History; Rheumatoid arthritis; Rheumatology; Risk Assessment; Risk factors; Sex Factors; Smoking - epidemiology; Environmental; Autoantibodies; Rheumatoid arthritis; Arthralgia; Prediction; Biomarkers; Risk factors
• ISSN: 0889-857X; 1558-3163
• DOI: 10.1016/j.rdc.2014.07.007

Rheumatoid arthritis (RA) results from an interaction between genetic susceptibility and environmental factors. Several of these factors are known, such as family history of RA, high birth weight, smoking, silica exposure, alcohol nonuse, obesity, diabetes mellitus, rheumatoid factor, anti-citrullinated protein antibody, and genetic variants such as the shared epitope and protein tyrosine phosphatase nonreceptor type 22. The impact of these factors can be modeled in the 2 main groups at risk of RA: family members of patients with RA and seropositive persons with or without arthralgia. Current models have the potential to select individuals for preventive strategies.