Relative importance of genetic effects in rheumatoid arthritis: historical cohort study of Danish nationwide twin population Commentary: Do genes or environment influence development of rheumatoid arthritis?

Svendsen, Anders Jørgen

doi:10.1136/bmj.324.7332.264

Cited by 85 publications

(73 citation statements)

References 20 publications

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“…8,9 Most ADs affect middle-aged women more than men, with considerable morbidity and mortality. Large, well-designed population-based case-control studies in patients with rheumatoid arthritis 10 and systemic lupus erythematosus (SLE) suggest that a number of factors might be implicated in the development of ADs. These include cigarette smoking, infection, hair treatment, hormonal treatment, occupational exposures, drugs and psychosocial stressors.…”

Section: Autoimmune Diseasesmentioning

confidence: 99%

Acute myeloid leukemia developing in patients with autoimmune diseases

Ramadan

Fouad

Summa³

et al. 2011

Haematologica

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Section: Autoimmune Diseasesmentioning

confidence: 99%

Acute myeloid leukemia developing in patients with autoimmune diseases

Ramadan

Fouad

Summa³

et al. 2011

Haematologica

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“…mean concordance rate of 12% in monozygotic twins, 4 times higher than in dizygotic twins (3)(4)(5)(6). Our group (the European Consortium on Rheumatoid Arthritis Families [see Appendix A]), a Japanese group, the North American Rheumatoid Arthritis Consortium, and a British group have performed genome scans with different marker sets and an average marker spacing ranging from 10 cM to 12 cM (7)(8)(9)(10)(11).…”

mentioning

confidence: 99%

Dense genome‐wide linkage analysis of rheumatoid arthritis, including covariates

Fortéa¹,

Bükülmez²,

Petit-Teixeira³

et al. 2004

Arthritis & Rheumatism

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Objective. Rheumatoid arthritis (RA) is a heterogeneous disease that exhibits a complex genetic component. Previous RA genome scans confirmed the involvement of the HLA region and generated data on suggestive signals at non-HLA regions, albeit with few overlaps in findings between studies. The present study was undertaken to detect potential RA gene regions and to estimate the number of true RA gene regions, taking into account the heterogeneity of RA, through performance of a dense genome scan.Methods. In a study of 88 French Caucasian families (105 RA sibpairs), 1,088 microsatellite markers were genotyped (3.3-cM genome scan), and a multipoint model-free linkage analysis was performed. The statistical assessment of the results relied on 10,000 computer simulations. A covariate-based multipoint model-free linkage analysis was performed on the locations of regions with suggestive evidence for linkage.Results. Involvement of the HLA region was strongly confirmed (P ‫؍‬ 6 ؋ 10 ؊5 ), and 19 non-HLA regions showed suggestive evidence for linkage (P < 0.05); 9 of these overlapped with regions suggested in other published RA genome scans. A routine 12-cM genome scan with the same families would have detected only 7 of the 19 regions, including only 4 of the 9 overlapping regions. From the 10,000 computer simulations, we estimated that 8 ؎ 4 regions (mean ؎ SD) were true-positives. RA covariate-based analysis provided additional linkage evidence for 3 regions, with age at disease onset, erosions, and HLA-DRB1 shared epitope as covariates.Conclusion. The results of this study provide evidence of 19 non-HLA RA gene regions, with an estimate of 8 ؎ 4 as true-positives, and provide additional evidence for 3 regions from covariate-based analysis.

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“…Twin studies suggest a genetic component to the epidemiology of these diseases but have also revealed that environmental risk factors are important (3,4). Several risk factors have been proposed, including smoking (5) and infectious agents such as the EpsteinBarr virus (6,7).…”

mentioning

confidence: 99%

Systemic autoimmune disease mortality and occupational exposures

Gold¹,

Ward²,

Dosemeci³

et al. 2007

Arthritis & Rheumatism

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Objective. To generate hypotheses regarding occupational exposures that may cause systemic autoimmune diseases.Methods. Based on examination of US death certificates, we identified deaths in 26 states for which a cause was listed as rheumatoid arthritis (RA) (n ‫؍‬ 36,178), systemic lupus erythematosus (SLE) (n ‫؍‬ 7,241), systemic sclerosis (n ‫؍‬ 5,642), or other systemic autoimmune disease (n ‫؍‬ 4,270). Odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated to estimate associations between occupation and death from any systemic autoimmune disease, and from RA, SLE, and systemic sclerosis, specifically. Additionally, we estimated risks associated with occupational exposures, which were assigned using job-exposure matrices.Results. A broad array of occupations was associated with death from systemic autoimmune diseases, including several of a priori interest. Farming occupation was associated with death from any systemic autoimmune disease (OR 1.3 [95% CI 1.2-1.4]), and increased risk was also seen with occupational exposure to animals and pesticides. Several industrial occupations were associated with death from any systemic autoimmune disease, including mining machine operators (OR 1.3 [95% CI 1.1-1.5]), miscellaneous textile machine operators (OR 1.2 [95% CI 1.0-1.4]), and hand painting, coating, and decorating occupations (OR 1.8 [95% CI 1.0-2.9]). These occupations were also significantly associated with death from the specific autoimmune diseases examined. Certain occupations entailing exposure to the public, such as teachers, were associated with systemic autoimmune disease-related death, whereas others, such as waiters and waitresses, were not.Conclusion. Our results suggest that death from systemic autoimmune diseases may be associated with occupational exposures encountered in farming and industry. The hypotheses generated in this study provide leads for future research on determinants of these diseases.

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Relative importance of genetic effects in rheumatoid arthritis: historical cohort study of Danish nationwide twin population Commentary: Do genes or environment influence development of rheumatoid arthritis?

Cited by 85 publications

References 20 publications

Acute myeloid leukemia developing in patients with autoimmune diseases

Acute myeloid leukemia developing in patients with autoimmune diseases

Dense genome‐wide linkage analysis of rheumatoid arthritis, including covariates

Systemic autoimmune disease mortality and occupational exposures

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