Another possible connection
Ahmed SS, Tan FK. Identification of novel targets in scleroderma: update on population studies, cDNA arrays, SNP analysis, and mutations. Curr Opin Rheumatol. 2003 Nov;15(6):766-71.
Department of Internal Medicine, University of Texas Medical School-Houston, Texas 77030, USA. sohail.ahmed@uth.tmc.edu
PURPOSE OF REVIEW: Systemic sclerosis, or scleroderma, is an uncommon autoimmune connective tissue disease that results in systemic fibrosis. Its etiologic basis remains unclear. The pathogenesis of systemic sclerosis involves a proliferative and obliterative vasculopathy resulting from endothelial cell dysfunction, extensive fibrosis secondary to fibroblast activation, and autoimmunity as demonstrated by the presence of disease-specific autoantibodies. Although there is no clear and convincing evidence for an environmental trigger in most cases, accumulating data emphasize the role of genetic factors in systemic sclerosis. As in other complex human diseases, multiple genes likely contribute to disease susceptibility and the clinical manifestations of systemic sclerosis. This review will cover the application of genomics to the complex genetics of systemic sclerosis. RECENT FINDINGS: The following review is an update on novel targets identified in scleroderma based on published reports (May 2000-May 2003) of mutation/polymorphism analysis (using SNP and haplotyping), the results from a recent genome-wide scan on a Native American population with systemic sclerosis, and gene expression studies (microarrays). SUMMARY: The use of genomics has revealed novel targets and genetic associations that may contribute to the cause, the onset, and the subsequent pathologic changes that constitute systemic sclerosis. The identification of potential candidates for gene therapy or disease-specific targets amenable to pharmacologic intervention will benefit patients with systemic sclerosis who are currently being treated for their symptoms and not the disease process itself.
Here's the genome-wide scan the paper refers to:
Zhou X, Tan FK, Wang N, Xiong M, Maghidman S, Reveille JD, Milewicz DM, Chakraborty R, Arnett FC. Genome-wide association study for regions of systemic sclerosis susceptibility in a Choctaw Indian population with high disease prevalence. Arthritis Rheum. 2003 Sep;48(9):2585-92.
University of Texas-Houston Medical School.
OBJECTIVE: Systemic sclerosis (SSc) is a complex, multisystem connective tissue disease in which genetic factors contribute to disease susceptibility. The aim of this study was to localize chromosome regions associated with susceptibility to SSc in a relatively isolated and homogeneous population of Choctaw Indians with a high prevalence of SSc. METHODS: A genome-wide microsatellite screen at 10 cM resolution (400 markers) was performed in 20 Choctaw patients with SSc and 76 ethically matched controls. Based on the results of the initial screen, fine-scale microsatellite mapping at < or =1 cM resolution was performed in 10 selected chromosome regions. Allele and marker haplotype frequencies were compared between SSc patients and controls. RESULTS: From the genome-wide screen, 12 markers showed evidence of highly significant associations with SSc in this population (P < 0.01), while 5 other markers showed significant associations (0.01 < P < 0.05). Among these markers, loci D5S410, D6S422, D15S978, and D20S107 are near the SPARC, MHC, FBN1, and TOPOI genes, respectively, confirming the results of our previous studies, which used different markers. D1S2800 and D14S63 have been reported to show linkage to systemic lupus erythematosus (SLE) in family-based studies, and D1S206, D6S422, and D6S264 are loci on 1p21.2, 6p22.3, and 6q23-27, respectively, which are in regions reported as showing linkage to SLE and other autoimmune diseases. Other markers showing unique associations with SSc were D7S510 (7p12-11), D7S661 (7q35), D8S514 (8q24.12), D19S221 (19p13.2), D19S220 (19q13.2), D22S423 (22q13.1), DXS1068 (Xp11.4), and DXS8055 (Xq21-23). Further analysis with fine-scale microsatellite mapping revealed at least 14 potential haplotypes associated with SSc. CONCLUSION: Our findings indicate that a number of genetic loci may contribute to the high prevalence of SSc in the Choctaw and are consistent with the paradigm that some autoimmune rheumatic diseases are likely to share genetic determinants.
AI
