Abstract
Purpose
The goal was to develop a simple model for predicting the individual risk profile for age-related macular degeneration (AMD) on the basis of genetic information, disease family history, and smoking habits.
Patients and methods
The study enrolled 151 AMD patients following specific clinical and environmental inclusion criteria: age >55 years, positive family history for AMD, presence of at least one first-degree relative affected by AMD, and smoking habits. All of the samples were genotyped for rs1061170 (CFH) and rs10490924 (ARMS2) with a TaqMan assay, using a 7500 Fast Real Time PCR device. Statistical analysis was subsequently employed to calculate the real individual risk (OR) based on the genetic data (ORgn), family history (ORf), and smoking habits (ORsm).
Results and conclusion
The combination of ORgn, ORf, and ORsm allowed the calculation of the Ort that represented the realistic individual risk for developing AMD. In this report, we present a computational model for the estimation of the individual risk for AMD. Moreover, we show that the average distribution of risk alleles in the general population and the knowledge of parents’ genotype can be decisive to assess the real disease risk. In this contest, genetic counseling is crucial to provide the patients with an understanding of their individual risk and the availability for preventive actions.
Similar content being viewed by others
Log in or create a free account to read this content
Gain free access to this article, as well as selected content from this journal and more on nature.com
or
References
Ginsburg GS, Willard HF . Genomic and Personalized Medicine, 2nd ed. Elsevier BV: London, UK, 2013.
Amin N, van Duijn CM, Janssens AC . Genetic scoring analysis: a way forward in genome wide association studies? J Epidemiol 2009; 24 (10): 585–587.
Janssens AC, van Duijn CM . Genome-based prediction of common diseases: methodological considerations for future research. Genome Med 2009; 1 (2): 20.
Cascella R, Ragazzo M, Strafella C, Missiroli F, Borgiani P, Angelucci F et al. Age-related macular degeneration: insights into inflammatory genes. J Ophthalmol 2014; 2014: 582842.
Hughes AE, Orr N, Patterson C, Esfandiary H, Hogg R, McConnell V et al. Neovascular age-related macular degeneration risk based on CFH, LOC387715/HTRA1, and smoking. PLoS Med 2007; 4 (12): e355.
Zampatti S, Ricci F, Cusumano A, Marsella LT, Novelli G, Giardina E . Review of nutrient actions on age-related macular degeneration. Nutr Res 2014; 34 (2): 95–105.
Wray NR, Yang J, Goddard ME, Visscher PM . The genetic interpretation of area under the ROC curve in genomic profiling. PLoS Genet 2010; 6 (2): e1000864.
Fritsche LG, Chen W, Schu M, Yaspan BL, Yu Y, Thorleifsson G et al. Seven new loci associated with age-related macular degeneration. Nat Genet 2013; 45 (4): 433–439e1-2.
Ricci F, Staurenghi G, Lepre T, Missiroli F, Zampatti S, Cascella R et al. Haplotypes in IL-8 gene are associated to age-related macular degeneration: a case-control study. PLoS One 2013; 8 (6): e66978.
Ricci F, Zampatti S, D’Abbruzzi F, Missiroli F, Martone C, Lepre T et al. Typing ofARMS2 and CFH in age-related macular degeneration: case-control study and assessment of frequency in the Italian population. Arch Ophthalmol 2009; 127 (10): 1368–1372.
Schramm EC, Clark SJ, Triebwasser MP, Raychaudhuri S, Seddon JM, Atkinson JP . Genetic variants in the complement system predisposing to age-related macular degeneration: a review. Mol Immunol 2014; 61 (2): 118–125.
Fritsche LG, Loenhardt T, Janssen A, Fisher SA, Rivera A, Keilhauer CN et al. Age-related macular degeneration is associated with an unstable ARMS2 (LOC387715) mRNA. Nat Genet 2008; 40 (7): 892–896.
Seddon JM, Reynolds R, Maller J, Fagerness JA, Daly MJ, Rosner B . Prediction model for prevalence and incidence of advanced age-related macular degeneration based on genetic, demographic, and environmental variables. Invest Ophthalmol Vis Sci 2009; 50 (5): 2044–2053.
Fritsche LG, Igl W, Bailey JN, Grassmann F, Sengupta S, Bragg-Gresham JL et al. A large genome-wide association study of age-related macular degeneration highlights contributions of rare and common variants. Nat Genet 2015; 48 (2): 134–143.
Acknowledgements
We acknowledge the Macula Foundation Onlus that supported this work.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Competing interests
The authors declare no conflict of interest.
Rights and permissions
About this article
Cite this article
Cascella, R., Strafella, C., Longo, G. et al. Assessing individual risk for AMD with genetic counseling, family history, and genetic testing. Eye 32, 446–450 (2018). https://doi.org/10.1038/eye.2017.192
Received:
Accepted:
Published:
Version of record:
Issue date:
DOI: https://doi.org/10.1038/eye.2017.192
This article is cited by
-
Association between the dietary omega-6 to omega-3 fatty acid ratio and age-related macular degeneration in Korean adults
Nutrition Journal (2025)
-
The value of pre-symptomatic genetic risk assessment for age-related macular degeneration: the Moran AMD Genetic Testing Assessment (MAGENTA) study—a study protocol for a randomized controlled trial
Trials (2023)
-
Analysis of genetic polymorphisms for age-related macular degeneration (AMD) in Chinese Tujia ethnic minority group
BMC Medical Genetics (2019)
-
Facioscapulohumeral muscular dystrophy (FSHD) molecular diagnosis: from traditional technology to the NGS era
neurogenetics (2019)


