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

医学 DNA测序 桑格测序 先证者 基因检测 遗传咨询 个性化医疗 表型 突变 生物信息学 遗传学 计算生物学 基因 内科学 生物
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 C M Black,I C Lloyd
出处
期刊:Ophthalmology [Elsevier]
卷期号:121 (11): 2124-2137.e2 被引量:140
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
端庄的访枫完成签到 ,获得积分10
1秒前
gongjianhu完成签到,获得积分10
1秒前
wanci应助jiang采纳,获得10
2秒前
dorr完成签到,获得积分20
2秒前
小张完成签到,获得积分10
3秒前
科研通AI2S应助甜蜜的代容采纳,获得10
4秒前
初始发布了新的文献求助10
5秒前
Owen应助陌路孤星采纳,获得10
6秒前
在水一方应助小可爱采纳,获得10
7秒前
7秒前
8秒前
烟花应助机智的小凡采纳,获得10
9秒前
9秒前
Truman发布了新的文献求助10
11秒前
Luka发布了新的文献求助10
12秒前
大力的宝川完成签到 ,获得积分10
13秒前
crde发布了新的文献求助10
13秒前
14秒前
14秒前
15秒前
leo_twli发布了新的文献求助10
17秒前
周凡淇发布了新的文献求助10
18秒前
赘婿应助Someone采纳,获得10
19秒前
小可爱发布了新的文献求助10
19秒前
华仔应助Truman采纳,获得10
19秒前
SAVP发布了新的文献求助10
20秒前
心房子应助一期一会采纳,获得10
20秒前
dongchao发布了新的文献求助30
20秒前
lxy发布了新的文献求助10
20秒前
Allen5546完成签到 ,获得积分10
21秒前
FashionBoy应助陌路孤星采纳,获得10
22秒前
whatever应助leo_twli采纳,获得10
22秒前
LBJ23发布了新的文献求助10
23秒前
23秒前
23秒前
多多就是小豆芽完成签到 ,获得积分20
24秒前
李爱国应助傻大采纳,获得10
25秒前
whh发布了新的文献求助10
27秒前
一路生花完成签到,获得积分10
27秒前
李健的小迷弟应助Ekko采纳,获得10
28秒前
高分求助中
Sustainability in Tides Chemistry 2000
Bayesian Models of Cognition:Reverse Engineering the Mind 800
Essentials of thematic analysis 700
A Dissection Guide & Atlas to the Rabbit 600
Very-high-order BVD Schemes Using β-variable THINC Method 568
Mantiden: Faszinierende Lauerjäger Faszinierende Lauerjäger 500
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3124786
求助须知:如何正确求助?哪些是违规求助? 2775057
关于积分的说明 7725364
捐赠科研通 2430615
什么是DOI,文献DOI怎么找? 1291245
科研通“疑难数据库(出版商)”最低求助积分说明 622091
版权声明 600323