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Does the Addition of Information on Genotype Improve Prediction of the Risk of Melanoma and Nonmelanoma Skin Cancer beyond That Obtained from Skin Phenotype?

Citation

Dwyer, T and Stankovich, J and Blizzard, CL and Fitzgerald, LM and Dickinson, JL and Reilly, A and Williamson, J and Ashbolt, R and Berwick, M and Sale, MM, Does the Addition of Information on Genotype Improve Prediction of the Risk of Melanoma and Nonmelanoma Skin Cancer beyond That Obtained from Skin Phenotype?, American Journal of Epidemiology, 159, (9) pp. 826-833. ISSN 0002-9262 (2004) [Refereed Article]

DOI: doi:10.1093/aje/kwh120

Abstract

The authors quantified improvement in predicting cutaneous malignant melanoma, basal cell carcinoma, and squamous cell carcinoma of the skin made possible by information on common variants of the melanocortin-1 receptor gene (MC1R) in a 1998-1999 population-based case-control study of subjects aged 20-59 years of northern European ancestry in Tasmania, Australia. Melanin density at the upper inner arm was estimated by spectrophotometry. DNA samples were genotyped for five MC1R variants: Val60Leu, Asp84Glu, Arg151Cys, Arg160Trp, and Asp294His. Among controls (n = 267), variant carriers, versus noncarriers, had lower (p < 0.01) mean melanin concentrations. Increased risk conferred by genotype was restricted mainly to those with the darkest skins: for subjects with at least 2% melanin, the odds of carrying each additional variant were higher for cutaneous malignant melanoma (n = 39; odds ratio = 1.45, 95% confidence interval: 0.87, 2.44), basal cell carcinoma (n = 35; odds ratio = 1.86, 95% confidence interval: 1.14, 3.02), and squamous cell carcinoma (n = 42; odds ratio = 2.67, 95% confidence interval: 1.50, 4.74) cases than for controls (n = 135). Adding MC1R information to prediction based on age, sex, and cutaneous melanin increased the area under the receiver operating characteristic curve by 1.4% (cutaneous malignant melanoma), 3.2% (basal cell carcinoma), or 2.0% (squamous cell carcinoma). The improvement in prediction was probably too small to be valuable in a clinical setting.

Item Details

Item Type:Refereed Article
Research Division:Medical and Health Sciences
Research Group:Public Health and Health Services
Research Field:Epidemiology
Objective Division:Health
Objective Group:Clinical Health (Organs, Diseases and Abnormal Conditions)
Objective Field:Cancer and Related Disorders
Author:Dwyer, T (Professor Terry Dwyer)
Author:Stankovich, J (Dr Jim Stankovich)
Author:Blizzard, CL (Associate Professor Leigh Blizzard)
Author:Fitzgerald, LM (Dr Liesel Fitzgerald)
Author:Dickinson, JL (Associate Professor Joanne Dickinson)
Author:Reilly, A (Ms Anne Reilly)
Author:Ashbolt, R (Mrs Ashbolt)
Author:Sale, MM (Dr Michele Sale)
ID Code:29666
Year Published:2004
Web of Science® Times Cited:42
Deposited By:Menzies Centre
Deposited On:2004-08-01
Last Modified:2007-05-29
Downloads:0

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