Personalized Diagnosis and Management of Congenital Cataract by Next-Generation Sequencing

医学
作者
Rachel Gillespie,James O’Sullivan,Jane Ashworth,Sanjeev S. Bhaskar,Simon G. Williams,Susmito Biswas,Elias Kehdi,Simon Ramsden,Jill Clayton‐Smith,Graeme Black,I. Christopher Lloyd
出处
期刊:Ophthalmology [Elsevier BV]
卷期号:121 (11): 2124-2137.e2 被引量:172
标识
DOI:10.1016/j.ophtha.2014.06.006
摘要

To assess the utility of integrating genomic data from next-generation sequencing and phenotypic data to enhance the diagnosis of bilateral congenital cataract (CC).Evaluation of diagnostic technology.Thirty-six individuals diagnosed with nonsyndromic or syndromic bilateral congenital cataract were selected for investigation through a single ophthalmic genetics clinic.Participants underwent a detailed ophthalmic examination, accompanied by dysmorphology assessment where appropriate. Lenticular, ocular, and systemic phenotypes were recorded. Mutations were detected using a custom-designed target enrichment that permitted parallel analysis of 115 genes associated with CC by high-throughput, next-generation DNA sequencing (NGS). Thirty-six patients and a known positive control were tested. Suspected pathogenic variants were confirmed by bidirectional Sanger sequencing in relevant probands and other affected family members.Molecular genetic results and details of clinical phenotypes were identified.Next-generation DNA sequencing technologies are able to determine the precise genetic cause of CC in 75% of individuals, and 85% patients with nonsyndromic CC were found to have likely pathogenic mutations, all of which occurred in highly conserved domains known to be vital for normal protein function. The pick-up rate in patients with syndromic CC also was high, with 63% having potential disease-causing mutations.This analysis demonstrates the clinical utility of this test, providing examples where it altered clinical management, directed care pathways, and enabled more accurate genetic counseling. This comprehensive screen will extend access to genetic testing and lead to improved diagnostic and management outcomes through a stratified medicine approach. Establishing more robust genotype-phenotype correlations will advance knowledge of cataract-forming mechanisms.
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
GOAT发布了新的文献求助50
刚刚
小螃蟹完成签到 ,获得积分10
刚刚
binghua发布了新的文献求助10
1秒前
1122发布了新的文献求助10
1秒前
nashanbei发布了新的文献求助10
2秒前
d叨叨鱼发布了新的文献求助10
2秒前
3秒前
完美世界应助可靠白安采纳,获得10
4秒前
4秒前
李彦完成签到,获得积分10
6秒前
6秒前
xin完成签到 ,获得积分10
7秒前
宋呵呵完成签到,获得积分10
7秒前
Guo1020181发布了新的文献求助10
8秒前
8秒前
8秒前
咸鸭蛋完成签到 ,获得积分10
8秒前
科研通AI6.3应助dw采纳,获得10
9秒前
9秒前
9秒前
磁珠法提取原理步骤完成签到,获得积分10
10秒前
明灯三千完成签到,获得积分10
10秒前
zzpp发布了新的文献求助10
11秒前
11秒前
高大晓丝完成签到 ,获得积分10
11秒前
顾矜应助binghua采纳,获得10
12秒前
西格玛完成签到,获得积分10
12秒前
14秒前
柑橘乌云应助。。。采纳,获得10
14秒前
开心浩阑完成签到,获得积分0
15秒前
fhf发布了新的文献求助10
15秒前
小吴是RICH完成签到,获得积分10
15秒前
吴晓曼发布了新的文献求助10
16秒前
流川枫完成签到,获得积分10
16秒前
suda完成签到 ,获得积分10
17秒前
17秒前
18秒前
Lazy发布了新的文献求助10
18秒前
隐形曼青应助冲冲冲!采纳,获得10
20秒前
20秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Molecular Mechanisms of Photosynthesis, 4th Edition 1000
Organic Reactions, Volume 116 1000
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7254448
求助须知:如何正确求助?哪些是违规求助? 8876486
关于积分的说明 18742418
捐赠科研通 6934996
什么是DOI,文献DOI怎么找? 3200159
关于科研通互助平台的介绍 2374790
邀请新用户注册赠送积分活动 2175112