» Articles » PMID: 31862397

Predictive Genetics for AMD: Hype and Hopes for Genetics-based Strategies for Treatment and Prevention

Overview
Journal Exp Eye Res
Specialty Ophthalmology
Date 2019 Dec 22
PMID 31862397
Citations 8
Authors
Affiliations
Soon will be listed here.
Abstract

Age-related macular degeneration (AMD) is a complex disease with multiple genetic and environmental risk factors. In the age of molecular genetics, many investigators have established a link between genes and development or progression of the disease. This later evolved to determine whether phenotypic features of AMD have distinct genetic profiles. Molecular genetics have subsequently been introduced as factors in risk assessment models, increasing the predictive value of these tools. Models seek to predict either development or progression of disease, and different AMD-related genes aid our understanding of these respective features. Several investigators have attempted to link molecular genetics with treatment response, but results and their clinical significance vary. Ocular and systemic biomarkers may interact with established genes, promising future routes of ongoing clinical assessment. Our understanding of AMD molecular genetics is not yet sufficient to recommend routine testing, despite its utility in the research setting. Clinicians must be wary of misusing population-based risk models from genetic and biomarker associations, as they are not necessarily relevant for individual counseling. This review addresses the known uses of predictive genetics, and suggests future directions.

Citing Articles

Pharmacotherapy and Nutritional Supplements for Neovascular Eye Diseases.

Rusciano D, Bagnoli P Medicina (Kaunas). 2023; 59(7).

PMID: 37512145 PMC: 10383223. DOI: 10.3390/medicina59071334.


Current Advancements in Mouse Models of Retinal Disease.

Hollingsworth T, Wang X, Simpson R, White W, Williams R, Jablonski M Adv Exp Med Biol. 2023; 1415:371-376.

PMID: 37440059 DOI: 10.1007/978-3-031-27681-1_54.


Therapeutic Approaches for Age-Related Macular Degeneration.

Galindo-Camacho R, Blanco-Llamero C, da Ana R, Fuertes M, Senorans F, Silva A Int J Mol Sci. 2022; 23(19).

PMID: 36233066 PMC: 9570118. DOI: 10.3390/ijms231911769.


Uncoupling Proteins as Therapeutic Targets for Neurodegenerative Diseases.

Barnstable C, Zhang M, Tombran-Tink J Int J Mol Sci. 2022; 23(10).

PMID: 35628482 PMC: 9144266. DOI: 10.3390/ijms23105672.


Biomarkers as Predictive Factors of Anti-VEGF Response.

Bobadilla M, Pariente A, Oca A, Pelaez R, Perez-Sala A, Larrayoz I Biomedicines. 2022; 10(5).

PMID: 35625740 PMC: 9139112. DOI: 10.3390/biomedicines10051003.