Literature DB >> 31862397

Predictive genetics for AMD: Hype and hopes for genetics-based strategies for treatment and prevention.

Michael B Gorin1, Michael J daSilva2.   

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.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Age-related macular degeneration; Predictive genetics

Mesh:

Year:  2019        PMID: 31862397     DOI: 10.1016/j.exer.2019.107894

Source DB:  PubMed          Journal:  Exp Eye Res        ISSN: 0014-4835            Impact factor:   3.467


  6 in total

Review 1.  Uncoupling Proteins as Therapeutic Targets for Neurodegenerative Diseases.

Authors:  Colin J Barnstable; Mingliang Zhang; Joyce Tombran-Tink
Journal:  Int J Mol Sci       Date:  2022-05-18       Impact factor: 6.208

Review 2.  Biomarkers as Predictive Factors of Anti-VEGF Response.

Authors:  Miriam Bobadilla; Ana Pariente; Ana I Oca; Rafael Peláez; Álvaro Pérez-Sala; Ignacio M Larráyoz
Journal:  Biomedicines       Date:  2022-04-26

3.  Silencing of miR-23a attenuates hydrogen peroxide (H2O2) induced oxidative damages in ARPE-19 cells by upregulating GLS1: an in vitro study.

Authors:  Yang Zhou; Meilibanu Yusufu; Ting Zhang; Jing Wang
Journal:  Cytotechnology       Date:  2020-10-29       Impact factor: 2.058

Review 4.  Uncoupling proteins in the mitochondrial defense against oxidative stress.

Authors:  Daniel T Hass; Colin J Barnstable
Journal:  Prog Retin Eye Res       Date:  2021-01-08       Impact factor: 19.704

5.  Prediction of treatment outcome in neovascular age-related macular degeneration using a novel convolutional neural network.

Authors:  Tsai-Chu Yeh; An-Chun Luo; Yu-Shan Deng; Yu-Hsien Lee; Shih-Jen Chen; Po-Han Chang; Chun-Ju Lin; Ming-Chi Tai; Yu-Bai Chou
Journal:  Sci Rep       Date:  2022-04-07       Impact factor: 4.379

Review 6.  Therapeutic Approaches for Age-Related Macular Degeneration.

Authors:  Ruth M Galindo-Camacho; Cristina Blanco-Llamero; Raquel da Ana; Mayra A Fuertes; Francisco J Señoráns; Amélia M Silva; María L García; Eliana B Souto
Journal:  Int J Mol Sci       Date:  2022-10-04       Impact factor: 6.208

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.