Browsing by Author "Helvaty, Lindsey R."
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Item A Multicenter Analysis of Abnormal Chromosomal Microarray Findings in Congenital Heart Disease(American Heart Association, 2023) Landis, Benjamin J.; Helvaty, Lindsey R.; Geddes, Gabrielle C.; Lin, Jiuann-Huey Ivy; Yatsenko, Svetlana A.; Lo, Cecilia W.; Border, William L.; Burns Wechsler, Stephanie; Murali, Chaya N.; Azamian, Mahshid S.; Lalani, Seema R.; Hinton, Robert B.; Garg, Vidu; McBride, Kim L.; Hodge, Jennelle C.; Ware, Stephanie M.; Pediatrics, School of MedicineBackground: Chromosomal microarray analysis (CMA) provides an opportunity to understand genetic causes of congenital heart disease (CHD). The methods for describing cardiac phenotypes in patients with CMA abnormalities have been inconsistent, which may complicate clinical interpretation of abnormal testing results and hinder a more complete understanding of genotype–phenotype relationships. Methods and Results: Patients with CHD and abnormal clinical CMA were accrued from 9 pediatric cardiac centers. Highly detailed cardiac phenotypes were systematically classified and analyzed for their association with CMA abnormality. Hierarchical classification of each patient into 1 CHD category facilitated broad analyses. Inclusive classification allowing multiple CHD types per patient provided sensitive descriptions. In 1363 registry patients, 28% had genomic disorders with well‐recognized CHD association, 67% had clinically reported copy number variants (CNVs) with rare or no prior CHD association, and 5% had regions of homozygosity without CNV. Hierarchical classification identified expected CHD categories in genomic disorders, as well as uncharacteristic CHDs. Inclusive phenotyping provided sensitive descriptions of patients with multiple CHD types, which occurred commonly. Among CNVs with rare or no prior CHD association, submicroscopic CNVs were enriched for more complex types of CHD compared with large CNVs. The submicroscopic CNVs that contained a curated CHD gene were enriched for left ventricular obstruction or septal defects, whereas CNVs containing a single gene were enriched for conotruncal defects. Neuronal‐related pathways were over‐represented in single‐gene CNVs, including top candidate causative genes NRXN3, ADCY2, and HCN1. Conclusions: Intensive cardiac phenotyping in multisite registry data identifies genotype–phenotype associations in CHD patients with abnormal CMA.Item A multicenter cross-sectional study in infants with congenital heart defects demonstrates high diagnostic yield of genetic testing but variable evaluation practices(Elsevier, 2023-04-29) Durbin, Matthew D.; Helvaty, Lindsey R.; Li, Ming; Border, William; Fitzgerald-Butt, Sara; Garg, Vidu; Geddes, Gabrielle C.; Helm, Benjamin M.; Lalani, Seema R.; McBride, Kim L.; McEntire, Alexis; Mitchell, Dana K.; Murali, Chaya N.; Wechsler, Stephanie B.; Landis, Benjamin J.; Ware, Stephanie M.; Pediatrics, School of MedicinePurpose: For patients with congenital heart disease (CHD), the most common birth defect, genetic evaluation is not universally accepted, and current practices are anecdotal. Here, we analyzed genetic evaluation practices across centers, determined diagnostic yield of testing, and identified phenotypic features associated with abnormal results. Methods: This is a multicenter cross-sectional study of 5 large children's hospitals, including 2899 children ≤14 months undergoing surgical repair for CHD from 2013 to 2016, followed by multivariate logistics regression analysis. Results: Genetic testing occurred in 1607 of 2899 patients (55%). Testing rates differed highly between institutions (42%-78%, P < .001). Choice of testing modality also differed across institutions (ie, chromosomal microarray, 26%-67%, P < .001). Genetic testing was abnormal in 702 of 1607 patients (44%), and no major phenotypic feature drove diagnostic yield. Only 849 patients were seen by geneticists (29%), ranging across centers (15%-52%, P < .001). Geneticist consultation associated with increased genetic testing yield (odds ratio: 5.7, 95% CI 4.33-7.58, P < .001). Conclusion: Genetics evaluation in CHD is diagnostically important but underused and highly variable, with high diagnostic rates across patient types, including in infants with presumed isolated CHD. These findings support recommendations for comprehensive testing and standardization of care.Item Case Report: An association of left ventricular outflow tract obstruction with 5p deletions(Frontiers Media, 2024-10-18) Mascho, Kira; Yatsenko, Svetlana A.; Lo, Cecilia W.; Xu, Xinxiu; Johnson, Jennifer; Helvaty, Lindsey R.; Burns Wechsler, Stephanie; Murali, Chaya N.; Lalani, Seema R.; Garg, Vidu; Hodge, Jennelle C.; McBride, Kim L.; Ware, Stephanie M.; Lin, Jiuann-Huey Ivy; Pediatrics, School of MedicineIntroduction: 5p deletion syndrome, also called Cri-du-chat syndrome 5p is a rare genetic syndrome with reports up to 36% of patients are associated with congenital heart defects. We investigated the association between left outflow tract obstruction and Cri-du-chat syndrome. Methods: A retrospective review of the abnormal microarray cases with congenital heart defects in Children's Hospital of Pittsburgh and the Cytogenomics of Cardiovascular Malformations Consortium. Results: A retrospective review at nine pediatric centers identified 4 patients with 5p deletions and left outflow tract obstruction (LVOTO). Three of these patients had additional copy number variants. We present data suggesting an association of LVOTO with 5p deletion with high mortality in the presence of additional copy number variants. Conclusion: A rare combination of 5p deletion and left ventricular outflow obstruction was observed in the registry of copy number variants and congenital heart defects.Item Clinical exome sequencing efficacy and phenotypic expansions involving anomalous pulmonary venous return(Springer Nature, 2023) Huth, Emily A.; Zhao, Xiaonan; Owen, Nichole; Luna, Pamela N.; Vogel, Ida; Dorf, Inger L. H.; Joss, Shelagh; Clayton-Smith, Jill; Parker, Michael J.; Louw, Jacoba J.; Gewillig, Marc; Breckpot, Jeroen; Kraus, Alison; Sasaki, Erina; Kini, Usha; Burgess, Trent; Tan, Tiong Y.; Armstrong, Ruth; Neas, Katherine; Ferrero, Giovanni B.; Brusco, Alfredo; Kerstjens-Frederikse, Wihelmina S.; Rankin, Julia; Helvaty, Lindsey R.; Landis, Benjamin J.; Geddes, Gabrielle C.; McBride, Kim L.; Ware, Stephanie M.; Shaw, Chad A.; Lalani, Seema R.; Rosenfeld, Jill A.; Scott, Daryl A.; Medical and Molecular Genetics, School of MedicineAnomalous pulmonary venous return (APVR) frequently occurs with other congenital heart defects (CHDs) or extra-cardiac anomalies. While some genetic causes have been identified, the optimal approach to genetic testing in individuals with APVR remains uncertain, and the etiology of most cases of APVR is unclear. Here, we analyzed molecular data from 49 individuals to determine the diagnostic yield of clinical exome sequencing (ES) for non-isolated APVR. A definitive or probable diagnosis was made for 8 of those individuals yielding a diagnostic efficacy rate of 16.3%. We then analyzed molecular data from 62 individuals with APVR accrued from three databases to identify novel APVR genes. Based on data from this analysis, published case reports, mouse models, and/or similarity to known APVR genes as revealed by a machine learning algorithm, we identified 3 genes-EFTUD2, NAA15, and NKX2-1-for which there is sufficient evidence to support phenotypic expansion to include APVR. We also provide evidence that 3 recurrent copy number variants contribute to the development of APVR: proximal 1q21.1 microdeletions involving RBM8A and PDZK1, recurrent BP1-BP2 15q11.2 deletions, and central 22q11.2 deletions involving CRKL. Our results suggest that ES and chromosomal microarray analysis (or genome sequencing) should be considered for individuals with non-isolated APVR for whom a genetic etiology has not been identified, and that genetic testing to identify an independent genetic etiology of APVR is not warranted in individuals with EFTUD2-, NAA15-, and NKX2-1-related disorders.Item Early ascertainment of genetic diagnoses clarifies impact on medium-term survival following neonatal congenital heart surgery(American Society for Clinical Investigation, 2024-07-30) Landis, Benjamin J.; Helm, Benjamin M.; Durbin, Matthew D.; Helvaty, Lindsey R.; Herrmann, Jeremy L.; Johansen, Michael; Geddes, Gabrielle C.; Ware, Stephanie M.; Pediatrics, School of MedicineItem Genetic Testing Guidelines Impact Care in Newborns with Congenital Heart Defects(Elsevier, 2023) Durbin, Matthew D.; Fairman, Korre; Helvaty, Lindsey R.; Huang, Manyan; Li, Ming; Abreu, Daniel; Geddes, Gabrielle C.; Helm, Benjamin M.; Landis, Benjamin J.; McEntire, Alexis; Mitchell, Dana K.; Ware, Stephanie M.; Pediatrics, School of MedicineObjective: To evaluate genetic evaluation practices in newborns with the most common birth defect, congenital heart defects (CHD), we determined the prevalence and the yield of genetic evaluation across time and across patient subtypes, before and after implementation of institutional genetic testing guidelines. Study design: This was a retrospective, cross-sectional study of 664 hospitalized newborns with CHD using multivariate analyses of genetic evaluation practices across time and patient subtypes. Results: Genetic testing guidelines for hospitalized newborns with CHD were implemented in 2014, and subsequently genetic testing increased (40% in 2013 and 75% in 2018, OR 5.02, 95% CI 2.84-8.88, P < .001) as did medical geneticists' involvement (24% in 2013 and 64% in 2018, P < .001). In 2018, there was an increased use of chromosomal microarray (P < .001), gene panels (P = .016), and exome sequencing (P = .001). The testing yield was high (42%) and consistent across years and patient subtypes analyzed. Increased testing prevalence (P < .001) concomitant with consistent testing yield (P = .139) added an estimated 10 additional genetic diagnoses per year, reflecting a 29% increase. Conclusions: In patients with CHD, yield of genetic testing was high. After implementing guidelines, genetic testing increased significantly and shifted to newer sequence-based methods. Increased use of genetic testing identified more patients with clinically important results with potential to impact patient care.Item Performance of Dysmorphology‐Based Screening for Genetic Disorders in Pediatric Congenital Heart Disease Supports Wider Genetic Testing(Wiley, 2024) Helm, Benjamin M.; Helvaty, Lindsey R.; Conboy, Erin; Geddes, Gabrielle C.; Graham, Brett H.; Lah, Melissa; Wetherill, Leah; Landis, Benjamin J.; Ware, Stephanie M.; Medical and Molecular Genetics, School of MedicineBackground: 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.Item Rapid Genome Sequencing Shows Diagnostic Utility In Infants With Congenital Heart Defects(Research Square, 2024-03-20) Durbin, Matthew D.; Helvaty, Lindsey R.; Posorske, Alyx; Zhang, Samuel; Huang, Manyan; Li, Ming; Abreu, Daniel; Fairman, Korre; Geddes, Gabrielle C.; Helm, Benjamin M.; Landis, Benjamin J.; McEntire, Alexis; Mitchell, Dana K.; Ware, Stephanie M.; Pediatrics, School of MedicineCongenital heart disease (CHD) is the most common birth defect and a leading cause of infant mortality. CHD often has a genetic etiology and recent studies demonstrate utility in genetic testing. In clinical practice, decisions around genetic testing choices continue to evolve, and the incorporation of rapid genome sequencing (rGS) in CHD has not been well studied. Though smaller studies demonstrate the value of rGS, they also highlight the burden of results interpretation. We analyze genetic testing in CHD at two time-points, in 2018 and 2022-2023, across a change in clinical testing guidelines from chromosome microarray (CMA) to rGS. Analysis of 421 hospitalized infants with CHD demonstrated consistent genetic testing across time. Overall, after incorporation of rGS in 2022-2023, the diagnostic yield was 6.8% higher compared to 2018, and this pattern was consistent across all patient subtypes analyzed. In 2018, CMA was the most common test performed, with diagnostic results for CHD in 14.3%, while in 2022-2023, rGS was the most frequent test performed, with results diagnostic for CHD in 16.9%. Additionally, rGS identified 44% more unique genetic diagnoses than CMA. This is the largest study to highlight the value of rGS in CHD and has important implications for management.