Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Department of Epidemiology, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, Indiana, USA.
Mol Genet Genomic Med. 2024 Nov;12(11):e70040. doi: 10.1002/mgg3.70040.
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.
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.
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%.
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.
对于先天性心脏病(CHD)的评估,畸形学评估很重要,但尚无先前的研究定量评估与标准化遗传学评估相比的筛查性能。我们通过对主要为儿科 CHD 患者进行的 CHD 患者进行系统的畸形学评估并进行标准化遗传检测来进行此项研究。
在进行遗传检测之前进行畸形学评估,使我们能够在调整心脏外异常(ECA)的情况下,检验畸形状态与遗传诊断之间的关联。我们在儿科住院 CHD 队列中使用了测试阴性病例对照设计来进行我们的研究。
在 568 例患者中,将近 96%的患者完成了遗传检测,主要是染色体微阵列(CMA)±外显子组测序为基础的遗传检测(493/568,86.8%)。总体而言,在调整 ECA 后,115 例(20.2%)患者发现有遗传诊断,畸形患者的遗传诊断风险增加了一倍(OR = 2.10,p = 0.0030)。我们发现,在 ECA-/非畸形患者中,有 7.9%(14/178)的患者有遗传诊断,而在 ECA-/畸形患者中,这一比例增加到 13.5%(26/192)。在 ECA+/畸形患者中,近 43%(63/147)的患者有遗传诊断。畸形状态的阳性预测值仅为 26.3%,而无畸形状态的阴性预测值为 88.7%。
由于在孤立性 CHD 中发现了诊断,因此基于畸形学的遗传疾病预测受到限制。我们的研究结果代表了对 CHD 中基于表型的遗传疾病筛查的评估之一,应告知儿科 CHD 的临床遗传学评估实践。