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No Association between FCγR3B Copy Number Variation and Susceptibility to Biopsy-Proven Giant Cell Arteritis


Dunstan, E and Lester, S and Black, R and Rischmueller, M and Chan, H and Hewitt, AW and Hill, CL, No Association between FCγR3B Copy Number Variation and Susceptibility to Biopsy-Proven Giant Cell Arteritis, Arthritis, 2013 Article 514914. ISSN 2090-1992 (2013) [Refereed Article]


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Licensed under Creative Commons Attribution 3.0 Unported (CC BY 3.0)

DOI: doi:10.1155/2013/514914


Objective: To determine the relationship between FCGR3B gene copy number variation (CNV) and biopsy proven giant cell arteritis (GCA).

Methods: FCGR3B CNV was determined in 139 Australian biopsy proven GCA patients and 162 population matched controls, using a duplex qPCR assay and RNase P as the reference gene. Copy number was determined using Copy Caller software (v.1.0, Applied Biosystems, USA). CNV genotypes were classified into 3 groups (<2, 2, 3+) for analysis purposes, and analysis was performed using logistic regression.

Results: All GCA patients had a positive temporal artery biopsy, and the most common presenting symptoms were visual disturbance and temporal headache. The mean age of patients at biopsy was 74 years (range 51-94) and 88/139 (63%) were female. The frequency of low (<2) FCGR3B copy number was comparable between GCA patients (9/139 = 6.5%) and controls (10/162 = 6.2%), as was the frequency of high (3+) FCGR3B copy number (15/130 (10.8%) in GCA patients versus 13/162 (8.0%) in controls). Overall there was no evidence that FCGR3B CNV frequencies differed between GCA patients and controls (χ2 = 0.75, df = 2, P = 0.69).

Conclusion: FCGR3B CNV is not associated with GCA; however, replicate studies are required.

Item Details

Item Type:Refereed Article
Research Division:Biomedical and Clinical Sciences
Research Group:Ophthalmology and optometry
Research Field:Ophthalmology
Objective Division:Health
Objective Group:Clinical health
Objective Field:Clinical health not elsewhere classified
UTAS Author:Hewitt, AW (Professor Alex Hewitt)
ID Code:95037
Year Published:2013
Web of Science® Times Cited:1
Deposited By:School of Medicine
Deposited On:2014-09-23
Last Modified:2014-10-20
Downloads:255 View Download Statistics

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