Inherited retinal diseases: Linking genes, disease-causing variants, and relevant therapeutic modalities

生物 基因 遗传学 表型 计算生物学 疾病 等位基因 鉴定(生物学) 生物信息学 医学 植物 病理
作者
Nina Schneider,Yogapriya Sundaresan,Prakadeeswari Gopalakrishnan,Avigail Beryozkin,Mor Hanany,Erez Y. Levanon,Eyal Banin,Shay Ben‐Aroya,Dror Sharon
出处
期刊:Progress in Retinal and Eye Research [Elsevier BV]
卷期号:89: 101029-101029 被引量:202
标识
DOI:10.1016/j.preteyeres.2021.101029
摘要

Inherited retinal diseases (IRDs) are a clinically complex and heterogenous group of visual impairment phenotypes caused by pathogenic variants in at least 277 nuclear and mitochondrial genes, affecting different retinal regions, and depleting the vision of affected individuals. Genes that cause IRDs when mutated are unique by possessing differing genotype-phenotype correlations, varying inheritance patterns, hypomorphic alleles, and modifier genes thus complicating genetic interpretation. Next-generation sequencing has greatly advanced the identification of novel IRD-related genes and pathogenic variants in the last decade. For this review, we performed an in-depth literature search which allowed for compilation of the Global Retinal Inherited Disease (GRID) dataset containing 4,798 discrete variants and 17,299 alleles published in 31 papers, showing a wide range of frequencies and complexities among the 194 genes reported in GRID, with 65% of pathogenic variants being unique to a single individual. A better understanding of IRD-related gene distribution, gene complexity, and variant types allow for improved genetic testing and therapies. Current genetic therapeutic methods are also quite diverse and rely on variant identification, and range from whole gene replacement to single nucleotide editing at the DNA or RNA levels. IRDs and their suitable therapies thus require a range of effective disease modelling in human cells, granting insight into disease mechanisms and testing of possible treatments. This review summarizes genetic and therapeutic modalities of IRDs, provides new analyses of IRD-related genes (GRID and complexity scores), and provides information to match genetic-based therapies such as gene-specific and variant-specific therapies to the appropriate individuals.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
CodeCraft的应助被泽泽采纳,获得10
1秒前
1秒前
1秒前
可爱的人类完成签到,获得积分10
3秒前
4秒前
Akim的应助被dyfsj采纳,获得10
4秒前
隐形曼青的应助被王猛采纳,获得10
5秒前
JIU夭发布了新的文献求助10
6秒前
7秒前
7秒前
漂亮采白发布了新的文献求助10
9秒前
慕青的应助被老迟到的沛萍采纳,获得10
9秒前
有逻辑的卡比兽完成签到,获得积分10
10秒前
mhq发布了新的文献求助10
12秒前
ZTB发布了新的文献求助10
12秒前
13秒前
美好寇完成签到,获得积分10
14秒前
15秒前
15秒前
科研通AI6.4的应助被fengzi151采纳,获得10
16秒前
17秒前
水瓶完成签到,获得积分10
17秒前
Jewel完成签到,获得积分10
18秒前
汉堡包的应助被mhq采纳,获得10
18秒前
19秒前
soapffz完成签到,获得积分0
20秒前
shary完成签到 ,获得积分10
20秒前
朝与夕发布了新的文献求助10
21秒前
王猛发布了新的文献求助10
21秒前
Zzz发布了新的文献求助10
24秒前
24秒前
CipherSage的应助被JIU夭采纳,获得10
26秒前
26秒前
27秒前
可爱的函函的应助被朝与夕采纳,获得10
30秒前
华仔的应助被跳跃的之双采纳,获得10
30秒前
传奇3的应助被111采纳,获得10
32秒前
难过含烟完成签到 ,获得积分10
32秒前
科研通AI6.2的应助被钙离子采纳,获得10
33秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Rosenblum, Global Change Biology 800
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Organizational Behavior 510
Management and the Arts 510
CLSI C56QG Examples of Hemolyzed, Icteric, and Lipemic/Turbid Samples Quick Guide 400
Encyclopedia of Geology 2nd Edition 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7805238
求助须知:如何正确求助?哪些是违规求助? 9338931
关于积分的说明 20493828
捐赠科研通 7397492
什么是DOI,文献DOI怎么找? 3327785
关于科研通互助平台的介绍 2474611
邀请新用户注册赠送积分活动 2345943