Performance of Dysmorphology‐Based Screening for Genetic Disorders in Pediatric Congenital Heart Disease Supports Wider Genetic Testing

基因检测 医学 医学诊断 遗传咨询 疾病 医学遗传学 队列 遗传综合征 儿科 遗传学 内科学 病理 生物 基因
作者
Benjamin M. Helm,Lindsey R. Helvaty,Erin Conboy,Gabrielle C. Geddes,Brett H. Graham,Melissa Lah,Leah Wetherill,Benjamin J. Landis,Stephanie M. Ware
出处
期刊:Molecular Genetics & Genomic Medicine [Wiley]
卷期号:12 (11) 被引量:3
标识
DOI:10.1002/mgg3.70040
摘要

ABSTRACT Background Dysmorphology evaluation is important for congenital heart disease (CHD) assessment, but there are no prior investigations quantifying the screening performance compared to standardized genetics evaluations. We investigated this through systematic dysmorphology assessment in CHD patients with standardized genetic testing in primarily pediatric patients with CHD. Methods Dysmorphology evaluations preceding genetic testing results allowed us to test for associations between dysmorphic status and genetic diagnoses while adjusting for extracardiac anomalies (ECAs). We use a test‐negative case–control design on a pediatric inpatient CHD cohort for our study. Results Of 568 patients, nearly 96% of patients completed genetic testing, primarily chromosome microarray (CMA) ± exome sequencing‐based genetic testing (493/568, 86.8%). Overall, 115 patients (20.2%) were found to have genetic diagnoses, and dysmorphic patients had doubled risk of genetic diagnoses, after ECA adjustment (OR = 2.10, p = 0.0030). We found that 7.9% (14/178) of ECA−/nondysmorphic patients had genetic diagnoses, which increased to 13.5% (26/192) in the ECA−/dysmorphic patients. Nearly 43% of ECA+/dysmorphic patients had genetic diagnoses (63/147). The positive predictive value of dysmorphic status was only 26.3%, and the negative predictive value of nondysmorphic status was 88.7%. Conclusions Dysmorphology‐based prediction of genetic disorders is limited because of diagnoses found in apparently isolated CHD. Our findings represent one of the only assessments of phenotype‐based screening for genetic disorders in CHD and should inform clinical genetics evaluation practices for pediatric CHD.
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
贪玩的寻冬完成签到,获得积分10
刚刚
喃喃发布了新的文献求助10
2秒前
2秒前
Rocky完成签到,获得积分10
3秒前
Eusha发布了新的文献求助10
3秒前
追璇行关注了科研通微信公众号
3秒前
晚欲雪发布了新的文献求助10
4秒前
5秒前
5秒前
5秒前
7秒前
尉迟怜翠发布了新的文献求助10
8秒前
9秒前
李爱国应助科研通管家采纳,获得10
9秒前
9秒前
9秒前
9秒前
思源应助科研通管家采纳,获得10
9秒前
酷波er应助科研通管家采纳,获得10
9秒前
10秒前
科目三应助科研通管家采纳,获得10
10秒前
ggbang完成签到,获得积分10
10秒前
打打应助科研通管家采纳,获得10
10秒前
赘婿应助科研通管家采纳,获得10
10秒前
y2102223232完成签到,获得积分20
10秒前
10秒前
李小晴天发布了新的文献求助10
10秒前
跳跃靖应助科研通管家采纳,获得10
10秒前
xx完成签到,获得积分20
10秒前
CodeCraft应助科研通管家采纳,获得10
11秒前
11秒前
科目三应助炙热绿海采纳,获得20
11秒前
完美世界应助科研通管家采纳,获得10
11秒前
跳跃靖应助科研通管家采纳,获得10
11秒前
aajhajkahna应助科研通管家采纳,获得10
11秒前
高兴不尤发布了新的文献求助10
11秒前
11秒前
丰富语蕊应助科研通管家采纳,获得10
11秒前
12秒前
苏打发布了新的文献求助10
13秒前
高分求助中
Markov Chain Monte Carlo 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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 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 7583868
求助须知:如何正确求助?哪些是违规求助? 9162575
关于积分的说明 19607381
捐赠科研通 7165802
什么是DOI,文献DOI怎么找? 3266349
关于科研通互助平台的介绍 2431242
邀请新用户注册赠送积分活动 2257819