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Bringing the age-related macular degeneration high-risk allele age-related maculopathy susceptibility 2 into focus with stem cell technology

Overview of attention for article published in Stem Cell Research & Therapy, June 2017
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Title
Bringing the age-related macular degeneration high-risk allele age-related maculopathy susceptibility 2 into focus with stem cell technology
Published in
Stem Cell Research & Therapy, June 2017
DOI 10.1186/s13287-017-0584-4
Pubmed ID
Authors

Shuo Sun, ZhiQing Li, Patrick Glencer, BinCui Cai, XiaoMin Zhang, Jin Yang, XiaoRong Li

Abstract

Age-related macular degeneration (AMD) is a major cause of blindness in older adults in developed countries. It is a multifactorial disease triggered by both environmental and genetic factors. High-temperature requirement A serine peptidase 1 (HTRA1) and age-related maculopathy susceptibility 2 (ARMS2) are two genes that are strongly associated with AMD. Because ARMS2 is an evolutionarily recent primate-specific gene and because the ARMS2/HTRA1 genes are positioned at a locus on chromosome 10q26 in a region with strong linkage disequilibrium, it is difficult to distinguish the functions of the individual genes. Therefore, it is necessary to bring these genes into focus. Patient-specific induced pluripotent stem cell (iPSC)-derived retinal pigment epithelium (RPE) provides direct access to a patient's genetics and allows for the possibility of identifying the initiating events of RPE-associated degenerative diseases. In this paper, a review of recent epidemiological studies of AMD is offered. An argument for a definite correlation between the ARMS2 gene and AMD is presented. A summary of the use of ARMS2 genotyping for medical treatment is provided. Several ARMS2-related genetic models based on such stem cells as iPSCs are introduced. The possibility of applying gene-editing techniques and stem-cell techniques to better explore the mechanisms of the ARMS2 high-risk allele, which will lead to important guidance for treatment, is also discussed.

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Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 18%
Student > Bachelor 8 14%
Student > Ph. D. Student 5 9%
Student > Doctoral Student 4 7%
Student > Postgraduate 2 4%
Other 7 13%
Unknown 20 36%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 14%
Medicine and Dentistry 6 11%
Agricultural and Biological Sciences 5 9%
Immunology and Microbiology 3 5%
Pharmacology, Toxicology and Pharmaceutical Science 3 5%
Other 10 18%
Unknown 21 38%