scholarly journals Gene Ontology and KEGG Enrichment Analyses of Genes Related to Age-Related Macular Degeneration

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Jian Zhang ◽  
ZhiHao Xing ◽  
Mingming Ma ◽  
Ning Wang ◽  
Yu-Dong Cai ◽  
...  
Keyword(s):  
Gene Ontology ◽  
Feature Selection ◽  
Macular Degeneration ◽  
Classification System ◽  
Underlying Disease ◽  
Age Related Macular Degeneration ◽  
Disease Genes ◽  
Kegg Pathways ◽  
Age Related ◽  
Go Terms

Identifying disease genes is one of the most important topics in biomedicine and may facilitate studies on the mechanisms underlying disease. Age-related macular degeneration (AMD) is a serious eye disease; it typically affects older adults and results in a loss of vision due to retina damage. In this study, we attempt to develop an effective method for distinguishing AMD-related genes. Gene ontology and KEGG enrichment analyses of known AMD-related genes were performed, and a classification system was established. In detail, each gene was encoded into a vector by extracting enrichment scores of the gene set, including it and its direct neighbors in STRING, and gene ontology terms or KEGG pathways. Then certain feature-selection methods, including minimum redundancy maximum relevance and incremental feature selection, were adopted to extract key features for the classification system. As a result, 720 GO terms and 11 KEGG pathways were deemed the most important factors for predicting AMD-related genes.

scholarly journals A search for age-related macular degeneration risk variants in Alzheimer disease genes and pathways

2014 ◽  
Vol 35 (6) ◽  
pp. 1510.e7-1510.e18 ◽  
Author(s):  
Mark W. Logue ◽  
Matthew Schu ◽  
Badri N. Vardarajan ◽  
John Farrell ◽  
Kathryn L. Lunetta ◽  
...  
Keyword(s):  
Alzheimer Disease ◽  
Macular Degeneration ◽  
Age Related Macular Degeneration ◽  
Disease Genes ◽  
Risk Variants ◽  
Age Related

Identification of Candidate Genes Responsible for Age-related Macular Degeneration using Microarray Data

2018 ◽  
Vol 9 (2) ◽  
pp. 33-60 ◽  
Author(s):  
Yuhan Hao ◽  
Gary M. Weiss ◽  
Stuart M Brown
Keyword(s):  
Feature Selection ◽  
Macular Degeneration ◽  
Pigment Epithelium ◽  
Retinal Pigment ◽  
Microarray Dataset ◽  
Age Related Macular Degeneration ◽  
Protein Coding ◽  
Age Related ◽  
Nf Kappab ◽  
Canonical Wnt

A DNA microarray can measure the expression of thousands of genes simultaneously, and this enables us to study the molecular pathways underlying Age-related Macular Degeneration. Previous studies have not determined which genes are responsible for the process of AMD. The authors address this deficiency by applying modern data mining and machine learning feature selection algorithms to the AMD microarray dataset. In this paper four methods are utilized to perform feature selection: Naïve Bayes, Random Forest, Random Lasso, and Ensemble Feature Selection. Functional Annotation of 20 final selected genes suggests that most of them are responsible for signal transduction in an individual cell or between cells. The top seven genes, five protein-coding genes and two non-coding RNAs, are explored from their signaling pathways, functional interactions and associations with retinal pigment epithelium cells. The authors conclude that Pten/PI3K/Akt pathway, NF-kappaB pathway, JNK cascade, Non-canonical Wnt Pathway, and two biological processes of cilia are likely to play important roles in AMD pathogenesis.

Identification of Candidate Genes Responsible for Age-Related Macular Degeneration Using Microarray Data

Biotechnology ◽  
2019 ◽  
pp. 969-1001
Author(s):  
Yuhan Hao ◽  
Gary M. Weiss ◽  
Stuart M Brown
Keyword(s):  
Feature Selection ◽  
Macular Degeneration ◽  
Pigment Epithelium ◽  
Retinal Pigment ◽  
Microarray Dataset ◽  
Age Related Macular Degeneration ◽  
Protein Coding ◽  
Age Related ◽  
Nf Kappab ◽  
Canonical Wnt

A DNA microarray can measure the expression of thousands of genes simultaneously, and this enables us to study the molecular pathways underlying Age-related Macular Degeneration. Previous studies have not determined which genes are responsible for the process of AMD. The authors address this deficiency by applying modern data mining and machine learning feature selection algorithms to the AMD microarray dataset. In this paper four methods are utilized to perform feature selection: Naïve Bayes, Random Forest, Random Lasso, and Ensemble Feature Selection. Functional Annotation of 20 final selected genes suggests that most of them are responsible for signal transduction in an individual cell or between cells. The top seven genes, five protein-coding genes and two non-coding RNAs, are explored from their signaling pathways, functional interactions and associations with retinal pigment epithelium cells. The authors conclude that Pten/PI3K/Akt pathway, NF-kappaB pathway, JNK cascade, Non-canonical Wnt Pathway, and two biological processes of cilia are likely to play important roles in AMD pathogenesis.

The International Classification System and the Progression of Age-Related Macular Degeneration

2009 ◽  
Vol 34 (3) ◽  
pp. 238-240 ◽  
Author(s):  
Ferenc B. Sallo ◽  
Tunde Peto ◽  
Irene Leung ◽  
Wen Xing ◽  
Catey Bunce ◽  
...  
Keyword(s):  
Macular Degeneration ◽  
Classification System ◽  
International Classification ◽  
Age Related Macular Degeneration ◽  
Age Related

Age related macular degeneration (ARMD) – pathophysiological and clinical features and therapeutic concepts

2001 ◽  
Vol 58 (1) ◽  
pp. 28-35 ◽  
Author(s):  
Ursula Körner-Stiefbold
Keyword(s):  
Macular Degeneration ◽  
Clinical Features ◽  
Altersbedingte Makuladegeneration ◽  
Age Related Macular Degeneration ◽  
Genetische Faktoren ◽  
Age Related ◽  
Therapeutic Concepts

Die altersbedingte Makuladegeneration (AMD) ist eine der häufigsten Ursachen für einen irreversiblen Visusverlust bei Patienten über 65 Jahre. Nahezu 30% der über 75-Jährigen sind von einer AMD betroffen. Trotz neuer Erkenntnisse in der Grundlagenforschung ist die Ätiologie, zu der auch genetische Faktoren gehören, noch nicht völlig geklärt. Aus diesem Grund sind die Behandlungsmöglichkeiten zum jetzigen Zeitpunkt noch limitiert, so dass man lediglich von Therapieansätzen sprechen kann. Die derzeit zur Verfügung stehenden Möglichkeiten wie medikamentöse, chirurgische und laser- und strahlentherapeutische Maßnahmen werden beschrieben.

Nutrition in Age-Related Macular Degeneration Survey

2018 ◽  
Author(s):  
Rebekah Stevens ◽  
Richard Cooke ◽  
Hannah Bartlett
Keyword(s):  
Macular Degeneration ◽  
Age Related Macular Degeneration ◽  
Age Related
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