Cargando…
Uncovering genetic and non-genetic biomarkers specific for exudative age-related macular degeneration: significant association of twelve variants
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 populati...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5814260/ https://www.ncbi.nlm.nih.gov/pubmed/29487693 http://dx.doi.org/10.18632/oncotarget.23241 |
_version_ | 1783300312658870272 |
---|---|
author | Cascella, Raffaella Strafella, Claudia Longo, Giuliana Ragazzo, Michele Manzo, Laura De Felici, Cecilia Errichiello, Valeria Caputo, Valerio Viola, Francesco Eandi, Chiara Maria Staurenghi, Giovanni Cusumano, Andrea Mauriello, Silvestro Marsella, Luigi Tonino Ciccacci, Cinzia Borgiani, Paola Sangiuolo, Federica Novelli, Giuseppe Ricci, Federico Giardina, Emiliano |
author_facet | Cascella, Raffaella Strafella, Claudia Longo, Giuliana Ragazzo, Michele Manzo, Laura De Felici, Cecilia Errichiello, Valeria Caputo, Valerio Viola, Francesco Eandi, Chiara Maria Staurenghi, Giovanni Cusumano, Andrea Mauriello, Silvestro Marsella, Luigi Tonino Ciccacci, Cinzia Borgiani, Paola Sangiuolo, Federica Novelli, Giuseppe Ricci, Federico Giardina, Emiliano |
author_sort | Cascella, Raffaella |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5814260 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-58142602018-02-27 Uncovering genetic and non-genetic biomarkers specific for exudative age-related macular degeneration: significant association of twelve variants Cascella, Raffaella Strafella, Claudia Longo, Giuliana Ragazzo, Michele Manzo, Laura De Felici, Cecilia Errichiello, Valeria Caputo, Valerio Viola, Francesco Eandi, Chiara Maria Staurenghi, Giovanni Cusumano, Andrea Mauriello, Silvestro Marsella, Luigi Tonino Ciccacci, Cinzia Borgiani, Paola Sangiuolo, Federica Novelli, Giuseppe Ricci, Federico Giardina, Emiliano Oncotarget Research Paper 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. Impact Journals LLC 2017-12-12 /pmc/articles/PMC5814260/ /pubmed/29487693 http://dx.doi.org/10.18632/oncotarget.23241 Text en Copyright: © 2018 Cascella et al. http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) (CC-BY), which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Research Paper Cascella, Raffaella Strafella, Claudia Longo, Giuliana Ragazzo, Michele Manzo, Laura De Felici, Cecilia Errichiello, Valeria Caputo, Valerio Viola, Francesco Eandi, Chiara Maria Staurenghi, Giovanni Cusumano, Andrea Mauriello, Silvestro Marsella, Luigi Tonino Ciccacci, Cinzia Borgiani, Paola Sangiuolo, Federica Novelli, Giuseppe Ricci, Federico Giardina, Emiliano Uncovering genetic and non-genetic biomarkers specific for exudative age-related macular degeneration: significant association of twelve variants |
title | Uncovering genetic and non-genetic biomarkers specific for exudative age-related macular degeneration: significant association of twelve variants |
title_full | Uncovering genetic and non-genetic biomarkers specific for exudative age-related macular degeneration: significant association of twelve variants |
title_fullStr | Uncovering genetic and non-genetic biomarkers specific for exudative age-related macular degeneration: significant association of twelve variants |
title_full_unstemmed | Uncovering genetic and non-genetic biomarkers specific for exudative age-related macular degeneration: significant association of twelve variants |
title_short | Uncovering genetic and non-genetic biomarkers specific for exudative age-related macular degeneration: significant association of twelve variants |
title_sort | uncovering genetic and non-genetic biomarkers specific for exudative age-related macular degeneration: significant association of twelve variants |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5814260/ https://www.ncbi.nlm.nih.gov/pubmed/29487693 http://dx.doi.org/10.18632/oncotarget.23241 |
work_keys_str_mv | AT cascellaraffaella uncoveringgeneticandnongeneticbiomarkersspecificforexudativeagerelatedmaculardegenerationsignificantassociationoftwelvevariants AT strafellaclaudia uncoveringgeneticandnongeneticbiomarkersspecificforexudativeagerelatedmaculardegenerationsignificantassociationoftwelvevariants AT longogiuliana uncoveringgeneticandnongeneticbiomarkersspecificforexudativeagerelatedmaculardegenerationsignificantassociationoftwelvevariants AT ragazzomichele uncoveringgeneticandnongeneticbiomarkersspecificforexudativeagerelatedmaculardegenerationsignificantassociationoftwelvevariants AT manzolaura uncoveringgeneticandnongeneticbiomarkersspecificforexudativeagerelatedmaculardegenerationsignificantassociationoftwelvevariants AT defelicicecilia uncoveringgeneticandnongeneticbiomarkersspecificforexudativeagerelatedmaculardegenerationsignificantassociationoftwelvevariants AT errichiellovaleria uncoveringgeneticandnongeneticbiomarkersspecificforexudativeagerelatedmaculardegenerationsignificantassociationoftwelvevariants AT caputovalerio uncoveringgeneticandnongeneticbiomarkersspecificforexudativeagerelatedmaculardegenerationsignificantassociationoftwelvevariants AT violafrancesco uncoveringgeneticandnongeneticbiomarkersspecificforexudativeagerelatedmaculardegenerationsignificantassociationoftwelvevariants AT eandichiaramaria uncoveringgeneticandnongeneticbiomarkersspecificforexudativeagerelatedmaculardegenerationsignificantassociationoftwelvevariants AT staurenghigiovanni uncoveringgeneticandnongeneticbiomarkersspecificforexudativeagerelatedmaculardegenerationsignificantassociationoftwelvevariants AT cusumanoandrea uncoveringgeneticandnongeneticbiomarkersspecificforexudativeagerelatedmaculardegenerationsignificantassociationoftwelvevariants AT mauriellosilvestro uncoveringgeneticandnongeneticbiomarkersspecificforexudativeagerelatedmaculardegenerationsignificantassociationoftwelvevariants AT marsellaluigitonino uncoveringgeneticandnongeneticbiomarkersspecificforexudativeagerelatedmaculardegenerationsignificantassociationoftwelvevariants AT ciccaccicinzia uncoveringgeneticandnongeneticbiomarkersspecificforexudativeagerelatedmaculardegenerationsignificantassociationoftwelvevariants AT borgianipaola uncoveringgeneticandnongeneticbiomarkersspecificforexudativeagerelatedmaculardegenerationsignificantassociationoftwelvevariants AT sangiuolofederica uncoveringgeneticandnongeneticbiomarkersspecificforexudativeagerelatedmaculardegenerationsignificantassociationoftwelvevariants AT novelligiuseppe uncoveringgeneticandnongeneticbiomarkersspecificforexudativeagerelatedmaculardegenerationsignificantassociationoftwelvevariants AT riccifederico uncoveringgeneticandnongeneticbiomarkersspecificforexudativeagerelatedmaculardegenerationsignificantassociationoftwelvevariants AT giardinaemiliano uncoveringgeneticandnongeneticbiomarkersspecificforexudativeagerelatedmaculardegenerationsignificantassociationoftwelvevariants |