Uncovering genetic and non-genetic biomarkers specific for exudative age-related macular degeneration: significant association of twelve variants.

Details

Serval ID
serval:BIB_EA23ED2E38CC
Type
Article: article from journal or magazin.
Collection
Publications
Title
Uncovering genetic and non-genetic biomarkers specific for exudative age-related macular degeneration: significant association of twelve variants.
Journal
Oncotarget
Author(s)
Cascella R., Strafella C., Longo G., Ragazzo M., Manzo L., De Felici C., Errichiello V., Caputo V., Viola F., Eandi C.M., Staurenghi G., Cusumano A., Mauriello S., Marsella L.T., Ciccacci C., Borgiani P., Sangiuolo F., Novelli G., Ricci F., Giardina E.
ISSN
1949-2553 (Electronic)
ISSN-L
1949-2553
Publication state
Published
Issued date
30/01/2018
Peer-reviewed
Oui
Volume
9
Number
8
Pages
7812-7821
Language
english
Notes
Publication types: Journal Article
Publication Status: epublish
Abstract
Age-related Macular Degeneration (AMD) represents one of the most sight-threatening diseases in developed countries that substantially impacts the patients' lifestyle by compromising everyday activities, such as reading and driving. In this context, understanding the prevalence, burden, and population-specific risk/protective factors of AMD is essential for adequate health care planning and provision. Our work aimed to characterize exudative AMD in Italian population and to identify the susceptibility/protective factors (genetic variants, age, sex, smoking and dietary habits) which are specific for the onset of disease. Our study involved a cohort of 1976 subjects, including 976 patients affected with exudative AMD and 1000 control subjects. In particular, the sample cohort has been subjected to a large genotyping analysis of 20 genetic variants which are known to be associated with AMD among European and Asiatic populations. This analysis revealed that 8 genetic variants (CFH, ARMS2, IL-8, TIMP3, SLC16A8, RAD51B, VEGFA and COL8A1) were significantly associated with AMD susceptibility. Successively, we performed a multivariate analysis, considering both genetic and non-genetic data available for our sample cohort. The multivariate analysis showed that age, smoking, dietary habits and sex, together with the genetic variants, were significantly associated with AMD in our population. Altogether, these data represent a starting point for the set-up of adequate preventive and personalized strategies aimed to decrease the burden of disease and improve the patients' quality of life.
Keywords
age related macular degeneration, genomic and non-genomic factors, macula, susceptibility
Pubmed
Open Access
Yes
Create date
12/03/2021 19:50
Last modification date
26/03/2021 7:35
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