Benjamin M Helm, Lindsey R Helvaty, Erin Conboy, Gabrielle C Geddes, Brett H Graham, Melissa Lah, Leah Wetherill, Benjamin J Landis, Stephanie M Ware
{"title":"基于畸形学的小儿先天性心脏病遗传疾病筛查结果支持更广泛的基因检测。","authors":"Benjamin M Helm, Lindsey R Helvaty, Erin Conboy, Gabrielle C Geddes, Brett H Graham, Melissa Lah, Leah Wetherill, Benjamin J Landis, Stephanie M Ware","doi":"10.1002/mgg3.70040","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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%.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":18852,"journal":{"name":"Molecular Genetics & Genomic Medicine","volume":"12 11","pages":"e70040"},"PeriodicalIF":1.5000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11588853/pdf/","citationCount":"0","resultStr":"{\"title\":\"Performance of Dysmorphology-Based Screening for Genetic Disorders in Pediatric Congenital Heart Disease Supports Wider Genetic Testing.\",\"authors\":\"Benjamin M Helm, Lindsey R Helvaty, Erin Conboy, Gabrielle C Geddes, Brett H Graham, Melissa Lah, Leah Wetherill, Benjamin J Landis, Stephanie M Ware\",\"doi\":\"10.1002/mgg3.70040\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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%.</p><p><strong>Conclusions: </strong>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.</p>\",\"PeriodicalId\":18852,\"journal\":{\"name\":\"Molecular Genetics & Genomic Medicine\",\"volume\":\"12 11\",\"pages\":\"e70040\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2024-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11588853/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Molecular Genetics & Genomic Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1002/mgg3.70040\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"GENETICS & HEREDITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Molecular Genetics & Genomic Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/mgg3.70040","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
Performance of Dysmorphology-Based Screening for Genetic Disorders in Pediatric Congenital Heart Disease Supports Wider Genetic Testing.
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.
期刊介绍:
Molecular Genetics & Genomic Medicine is a peer-reviewed journal for rapid dissemination of quality research related to the dynamically developing areas of human, molecular and medical genetics. The journal publishes original research articles covering findings in phenotypic, molecular, biological, and genomic aspects of genomic variation, inherited disorders and birth defects. The broad publishing spectrum of Molecular Genetics & Genomic Medicine includes rare and common disorders from diagnosis to treatment. Examples of appropriate articles include reports of novel disease genes, functional studies of genetic variants, in-depth genotype-phenotype studies, genomic analysis of inherited disorders, molecular diagnostic methods, medical bioinformatics, ethical, legal, and social implications (ELSI), and approaches to clinical diagnosis. Molecular Genetics & Genomic Medicine provides a scientific home for next generation sequencing studies of rare and common disorders, which will make research in this fascinating area easily and rapidly accessible to the scientific community. This will serve as the basis for translating next generation sequencing studies into individualized diagnostics and therapeutics, for day-to-day medical care.
Molecular Genetics & Genomic Medicine publishes original research articles, reviews, and research methods papers, along with invited editorials and commentaries. Original research papers must report well-conducted research with conclusions supported by the data presented.