eTable 1. Capture QC Data for the 278 Samples
eTable 2. The Most Frequent HPO terms for Patients in This Study
eTable 3. Clinical Impact of Proband-only and Trio Exome Sequencing With Regular Turn-around Time in Infants in the First 100 Days of Life
eTable 4. Summary of 4 Individuals With Dual Diagnoses
eTable 5. Frequent Diagnoses Uncovered by Exome Sequencing in ICUs in Infants in the First 100 Days of Life
eTable 6. Informed Redirection of Care After Genetic Counseling in 19 Infants
eTable 7. Medically Actionable Incidental and Carrier Status Findings Based on the ACMG Recommended Gene List
eTable 8. Partial Diagnosis by Exome Sequencing in 4 Individuals
eFigure. Large CNVs Detected by cSNP Array in Exome Sequencing.
Meng L, Pammi M, Saronwala A, Magoulas P, Ghazi AR, Vetrini F, Zhang J, He W, Dharmadhikari AV, Qu C, Ward P, Braxton A, Narayanan S, Ge X, Tokita MJ, Santiago-Sim T, Dai H, Chiang T, Smith H, Azamian MS, Robak L, Bostwick BL, Schaaf CP, Potocki L, Scaglia F, Bacino CA, Hanchard NA, Wangler MF, Scott D, Brown C, Hu J, Belmont JW, Burrage LC, Graham BH, Sutton VR, Craigen WJ, Plon SE, Lupski JR, Beaudet AL, Gibbs RA, Muzny DM, Miller MJ, Wang X, Leduc MS, Xiao R, Liu P, Shaw C, Walkiewicz M, Bi W, Xia F, Lee B, Eng CM, Yang Y, Lalani SR. Use of Exome Sequencing for Infants in Intensive Care UnitsAscertainment of Severe Single-Gene Disorders and Effect on Medical Management. JAMA Pediatr. Published online October 02, 2017. doi:10.1001/jamapediatrics.2017.3438
What is the clinical use of exome sequencing when used in neonatal and pediatric intensive care units?
In this study of 278 infants within the first 100 days of life who were referred to undergo clinical exome sequencing, 36.7% received a genetic diagnosis, and the medical management was affected for 52.0% of the patients with diagnoses; critical trio exome testing results yielded a higher diagnostic rate at an earlier age and were more likely to affect medical management.
Using exome sequencing in intensive care units may affect the medical care of critically ill infants who are suspected to have genetic disorders.
While congenital malformations and genetic diseases are a leading cause of early infant death, to our knowledge, the contribution of single-gene disorders in this group is undetermined.
To determine the diagnostic yield and use of clinical exome sequencing in critically ill infants.
Design, Setting, and Participants
Clinical exome sequencing was performed for 278 unrelated infants within the first 100 days of life who were admitted to Texas Children’s Hospital in Houston, Texas, during a 5-year period between December 2011 and January 2017. Exome sequencing types included proband exome, trio exome, and critical trio exome, a rapid genomic assay for seriously ill infants.
Main Outcomes and Measures
Indications for testing, diagnostic yield of clinical exome sequencing, turnaround time, molecular findings, patient age at diagnosis, and effect on medical management among a group of critically ill infants who were suspected to have genetic disorders.
The mean (SEM) age for infants participating in the study was 28.5 (1.7) days; of these, the mean (SEM) age was 29.0 (2.2) days for infants undergoing proband exome sequencing, 31.5 (3.9) days for trio exome, and 22.7 (3.9) days for critical trio exome. Clinical indications for exome sequencing included a range of medical concerns. Overall, a molecular diagnosis was achieved in 102 infants (36.7%) by clinical exome sequencing, with relatively low yield for cardiovascular abnormalities. The diagnosis affected medical management for 53 infants (52.0%) and had a substantial effect on informed redirection of care, initiation of new subspecialist care, medication/dietary modifications, and furthering life-saving procedures in select patients. Critical trio exome sequencing revealed a molecular diagnosis in 32 of 63 infants (50.8%) at a mean (SEM) of 33.1 (5.6) days of life with a mean (SEM) turnaround time of 13.0 (0.4) days. Clinical care was altered by the diagnosis in 23 of 32 patients (71.9%). The diagnostic yield, patient age at diagnosis, and medical effect in the group that underwent critical trio exome sequencing were significantly different compared with the group who underwent regular exome testing. For deceased infants (n = 81), genetic disorders were molecularly diagnosed in 39 (48.1%) by exome sequencing, with implications for recurrence risk counseling.
Conclusions and Relevance
Exome sequencing is a powerful tool for the diagnostic evaluation of critically ill infants with suspected monogenic disorders in the neonatal and pediatric intensive care units and its use has a notable effect on clinical decision making.
Congenital malformations are estimated to be present in 13% of all admissions to neonatal intensive care units (NICUs) in developed countries1,2 and remain the leading cause of neonatal mortality (estimated at 20%-34%).3,4 While cytogenetic abnormalities5 and copy number variants (CNVs)6 are known causes of birth defects in seriously ill neonates, single-gene disorders are also significant contributors.7- 11 The diagnostic tests for the clinical evaluation of newborns with suspected genetic diseases have expanded exponentially in recent years, particularly with the institution of next-generation sequencing (NGS). As the overall burden of genetic disorders in neonates is being explored via implementation of genome-wide sequencing in newborn screening programs,12- 14 clinical geneticists and neonatologists are in a unique position to initiate evidence-based studies in large tertiary care centers, deliver care that combines state-of-the-art diagnostic tools and genetic counseling, and provide reproductive options regarding serious genetic diseases in at-risk families.
The clinical value of rapid genome-wide sequencing was first demonstrated by Saunders et al15 in 2012 in 2 neonates who received a diagnosis by undergoing whole-genome sequencing within 50 hours, and later by others in critically ill newborns, providing a diagnostic yield that ranged from 40% to 57%.7,10 The need for a rapid comprehensive genetic diagnosis in ICUs for critically ill babies, especially those in level III and IV NICUs, is paramount for both prognostication and clinical decision making.8,16
Here, we systematically evaluated the use of clinical exome sequencing in what is, to our knowledge, the largest study sample to date in the ICU setting of 278 unrelated infants who were 100 days or younger from a single institution.
A total of 278 unrelated infants were retrospectively studied based on the following inclusion criteria: (1) an age of 100 days of life or younger at the time of testing, (2) having been referred from Texas Children’s Hospital for exome sequencing from December 2011 to January 2017, and (3) having undergone exome sequencing that was performed at Baylor Genetics as a clinical service. Detailed clinical evaluation with comprehensive pretest counseling was undertaken for all infants. The assessment for the need to undergo clinical exome sequencing was carried out by multiple board-certified clinical geneticists at Texas Children’s Hospital. Relevant clinical notes were provided to the clinical laboratory. Parents provided written consent for clinical exome testing with the option of receiving information on medically actionable findings and carrier status that were recommended by the American College of Medical Genetics and Genomics practice guidelines.17- 19 The clinical aggregate data were collected with the approval of Baylor College of Medicine institutional review board.
The 278 infants were studied by proband exome (available since December 2011), trio exome (available since October 2014), or critical trio exome (a rapid test available since April 2015) sequencing that were offered at Baylor Genetics as a clinical test and conducted as described.20,21 For this study, the mean depth of coverage was 154X, with 97.5% of the targeted regions (exonic regions of all nuclear genes plus ±5 base pairs of exon-intron boundaries) sequenced at 20 times and higher (eTable 1 in the Supplement). All samples were concurrently analyzed by the HumanOmni1-Quad or HumanExome-12 v1 array (Illumina) for quality control and for detecting large CNVs, regions of absence of heterozygosity, and uniparental disomy. Copy number variants were also characterized using the normalization of exome read depths as previously described.22 The procedures for regular and critical trio exome sequencing were highly similar except that critical exome cases were assigned an urgent test code and given the highest priority. Exome data were interpreted according to the American College of Medical Genetics and Genomics guidelines and variant interpretation guidelines of Baylor Genetics as previously described.20- 23
The reporting of laboratory findings was performed as previously described.20,21 A case was classified as molecularly diagnosed when pathogenic or likely pathogenic variant(s) were detected in a disease gene that was associated with the phenotype in the studied individual; in addition, the zygosity of the mutant allele was required to match the inheritance pattern that was associated with the disease gene. For further validation, exome sequencing reports were additionally analyzed by board-certified clinical geneticists regarding clinical correlation, follow-up evaluation, and confirmation of the molecular diagnoses.
Clinical notes were rendered to HPO terms through BioLark natural language processing system and manual review.24 Analyses were performed using Fisher tests to compare the diagnostic rate among patients that was annotated and under each top-branch HPO category. The false discovery method was used to transform Fisher P values into q values to address multiple testing results across HPO terms.
Of the 278 infants, 190 (68.3%) were in the NICU at the time of sample submission, 43 (15.5%) were in the cardiovascular ICU, and 18 (6.5%) were in the pediatric ICU. There were 127 girls (45.7%) and 151 boys (54.3%), with a median age of 28 days at the time of sample submission (Table 1). Clinical indications for exome sequencing included a range of clinical concerns (eTable 2 in the Supplement). A chromosomal microarray analysis was completed for 237 infants (85.3%).
The exome sequencing method included proband exome (n = 176, 63.3%), trio exome (n = 39, 14.0%), or critical trio exome (n = 63, 22.7%), depending on the availability of parental samples and the overall cardiopulmonary status of the patients. There was no significant difference in the age of the patients in the ICU at the time of testing among the 3 testing categories; infants who were referred for critical exome sequencing were more likely to be in the ICU (61 of 63, 96.8%) (Table 1).
Of the 278 infants, 102 individuals (36.7%) who were affected by 106 disorders, met criteria for molecular diagnosis (Table 1, Table 2; and eTable 3 in the Supplement). Critical trio exome sequencing provided significantly higher molecular diagnoses for 32 of 63 infants (50.8%) than proband exome sequencing for 57 of 176 infants (32.4%) and trio exome sequencing in 13 of 39 cases (33.3%) (odds ratio, 2.14; 95% CI, 1.21-3.78; P = .01, Fisher exact test). The median turnaround time was 13.0 days, shorter than that of proband exome (95.0 days) and trio exome sequencing (51.1 days) (P < .001, t test). Consequently, the median (SEM) age of diagnosis in infants who were undergoing critical exome sequencing (33.1 [5.6] days) was significantly younger than those who were undergoing proband or trio exome sequencing (116.5 [27.4] and 78.0 [103.1] days old, respectively) (P = .002, t test).
Of the 102 solved cases, 56 (54.9%) had exome sequencing as a first-tier test (Table 3). For those individuals, the mean age at diagnosis was significantly younger than that for others (P = .01, t test). This is attributed to a younger age at test initiation, a greater proportion of patients who were undergoing critical trio exome sequencing , and a faster turnaround time with critical trio exome sequencing (Table 3).
Autosomal dominant, autosomal recessive, and X-linked disorders were observed in 49 (46.2%), 44 (41.5%), and 13 (12.3%) infants, respectively (Table 4). Four infants (3.9%) received dual molecular diagnoses (eTable 4 in the Supplement). Copy number variants were detected in 11 individuals by NGS read depth and coding single-nucleotide polymorphism array; both are components of the exome assay (eFigure in the Supplement). Of the diagnosed cases, KMT2D-related Kabuki syndrome (OMIM 147920), and Noonan spectrum disorders (OMIM 163950 and 611553) that were caused by variants in PTPN11 and RAF1 were observed in 8 infants (7.8%) and compose the most frequent single-gene disorders in the ICUs by exome sequencing. Both diseases presented in early infancy with significant cardiovascular abnormalities. Other disorders found in at least 2 infants are summarized in eTable 5 in the Supplement, collectively composing 12 of 102 diagnoses (11%) in the ICUs.
Approximately 39 of the 102 individuals (38.2%) who received a diagnosis had an atypical or unrecognized infantile presentation of genetic disorders. Of these, 4 infants (10.3%) received diagnoses of novel mendelian diseases that were not recognized initially and were only determined on reexamination of the exome sequencing data. Some examples include that of an infant with severe hypertrophic cardiomyopathy and hypoglycemia that was caused by a pathogenic LZTR1 variant, and a neonate with congenital hypotonia and respiratory failure due to a defect in PURA. For agenetic disorder such as Kabuki syndrome, craniofacial features were atypical or underrecognized in all 4 infants. Some other examples of atypical presentation in neonates of known mendelian disorders include AKT3-related megalencephaly-polymicrogyria-polydactyly-hydrocephalus syndrome in an individual with hypoglycemia, hyperlactatemia, metabolic acidosis, and borderline prominent lateral ventricles without macrocephaly at birth, and TUBA1A mutation presenting as ventriculomegaly with a fully formed corpus callosum.
To assess whether specific clinical presentations were more likely to be associated with a molecular diagnosis, the diagnostic rate was compared among patients who were annotated with different phenotypes as represented by HPO terms. Analyses were performed at the top-level branching of HPO phenotypes to ensure adequate counts of participants. Individuals with phenotypes of the HPO category “abnormality of the cardiovascular system” (human phenotype [HP] 0001626) were found to be significantly underrepresented in cases with a molecular diagnosis (false discovery rate, q = 0.01; odds ratio, 0.41; 95% CI, 0.24-0.69; P < .001). “Abnormality of blood and blood-forming tissues” (HP 0001871) and “abnormality of the musculature” (HP 0003011) were found to yield higher diagnostic rate (false discovery rate, q = 0.03; odds ratio, 3.54; 95% CI, 1.42-9.42; P = .003; and false discovery rate, q = 0.06; odds ratio, 2.19; 95% CI, 1.17-4.12; and P = .01, respectively) (Table 5).
We then evaluated the effect of molecular diagnoses by exome sequencing on medical management in 4 areas: (1) redirection of care, (2) initiation of new subspecialist care, including additional diagnostic studies, (3) changes in medication or diet, and (4) major procedures, such as a transplant, that were carried out in patients that were relevant to the genetic diagnoses. Using these considerations, we observed that molecular diagnoses directly affected medical management in 53 of 102 patients (52.0%) after the results were reported (Table 2 and eTable 3 in the Supplement). This rate is particularly higher among infants who received diagnoses through critical exome sequencing (23 of 32, 71.9%), compared with the other 2 groups that went through regular exome workup (30 of 70, 42.9%) (odds ratio, 3.41; 95% CI, 1.38-8.42; P = .01) (Table 1). Of the cases with positive results in the critical trio exome group, a significant higher portion (21 of 32, 65.5%, in critical exome sequencing vs 17 of 70, 24.3% in regular exome sequencing; odds ratio, 5.95; 95% CI, 2.39-14.81; P < .001) were diagnosed while still in the ICU (Table 1).
Of these 4 categories, first, informed redirection of care (including palliative care and withdrawal of life support) was undertaken for 19 of 53 infants (35.8%) with serious disorders such as muscular dystrophy-dystroglycanopathy type A, 7 (OMIM: 614643, case 1247), alveolar capillary dysplasia with misalignment of pulmonary veins (OMIM: 265380, case 1028), and arterial calcification of infancy, generalized, 1 (OMIM: 208000, case 1202) (eTable 6 in the Supplement). Second, 27 of 53 infants (50.9%) benefitted from the initiation of new subspecialist care, which was unanticipated before genetic testing. Examples include a diagnosis of aortic stenosis after a cardiology evaluation in an infant with nephronophthisis and liver disease caused by compound heterozygous variants in NPHP3 (case 1002). Similarly, the diagnosis of short-rib thoracic dysplasia 3 with or without polydactyly (OMIM: 613091) in 2 infants allowed for the evaluation of renal, hepatic, pancreatic and ocular involvement in this ciliopathy-related disorder (cases 1005 and 1010). Third, dietary and medication changes likely affected the treatment of at least 7 (13.2%), including 1 with ALDH7A1-related pyridoxine-dependent epilepsy (OMIM: 266100), who improved significantly with the cessation of seizures after taking high-dose pyridoxine supplementation (case 1022). Another neonate with Menkes disease was administered copper histidine injections (case 1201). Lastly, major procedures such as transplant were instituted for 5 of 53 infants (9.4%) who are currently living. Hematopoietic stem cell transplant was performed in 3 infants; 1 with RAG1 mutation that caused severe combined immunodeficiency (case 1021), another with UNC13D variants that were responsible for hemophagocytic lymphohistiocytosis (case 1007), and a third infant with congenital pancytopenia due to defects in FANCA (case 1006). Cardiac transplant was undertaken in an infant with a PTPN11 mutation who presented with severe concentric left ventricular hypertrophy soon after birth and severe pulmonic stenosis (case 1258), and another with left ventricular noncompaction because of a causal variant in ACTC1 (case 1108).
Of the 102 infants who received a molecular diagnosis, 30 (29.4%) died before day 120 of life (Table 1). By contrast, 28 infants (16.5%) in the group who did not receive a diagnosis died (odds ratio, 2.11; 95% CI, 1.17-3.80; P = .01, Fisher exact test). Of all the deceased infants in this study (n = 81), genetic disorders were confirmed in 39 (48.1%) by clinical exome sequencing.
In addition to the effect on medical care of patients, exome sequencing also offered potential influence on the health management for family members and prevention of serious single-gene disorders in at-risk couples. Comprehensive genetic counseling was provided by a board-certified genetic counselor and/or clinical geneticists in 90 families (88.2%) who received a diagnosis. If an infant was deceased by the time the results were available, the parents were offered a follow-up counseling visit to discuss the genetic test results. Medically actionable secondary findings or carrier status were identified in 21 patients, among 267 families who agreed to receive this information (7.9%) (eTable 7 in the Supplement). Clinical exome sequencing diagnoses in infants directly affected parental health in at least 2 families: one with Fanconi anemia with biallelic BRCA2 variants that revealed the genetic basis of cancer in both the maternal and paternal family members (case 1111) and another infant with an ACTC1 variant that was inherited from his father and paternal grandfather with a diagnosis of pulmonary stenosis with ventricular septal defect and atrial septal defect, respectively (case 1108).
Of 176 infants who did not receive a diagnosis in this analysis, 4 infants (2.3%) received a partial diagnosis by exome sequencing, with relevant variants explaining only part of the phenotype (eTable 8 in the Supplement). Of the individuals who were negative for exome results, 1 infant with neonatal hypotonia was diagnosed with myotonic dystrophy that was detected by a Southern blot analysis. Another was found to have infantile botulism.
Overall, 170 patients (61.2%) did not receive a diagnosis in this study. Clinical chromosomal microarray analysis, a separate test, was done for 150 infants who did not receive a diagnosis (88.2%), and no additional diagnoses were revealed by the analysis. In 85 patients without a diagnosis, mitochondrial genome sequencing was also performed, which was nondiagnostic.
We studied clinical exome sequencing in 278 infants predominantly in ICUs at a single tertiary institution in the first 100 days of life and ascertained 106 known disorders in 102 infants (with an overall detection rate of 36.7%). Significantly higher detection rates with critical/rapid sequencing in seriously ill infants have been shown in this study (n = 63, 50.8%), as well as in previous studies that involved relatively fewer infants (n = 35, 57%).11 In our study, seriously ill infants were evaluated and selected to undergo rapid exome study by clinical geneticists based on a skilled clinical assessment. For most infants who were selected for the rapid study, the indications included neuromuscular diseases, syndromic congenital cardiovascular malformations, hypertrophic cardiomyopathy with an assessment for cardiac transplant, skeletal malformations and/or dysplasia, neonatal cholestasis and liver failure, and lung disease including alveolar capillary dysplasia, cystic renal disease, and metabolic disorders with persistent lactic acidosis. This ascertainment likely allowed a much greater probability of determining the underlying genetic cause for the timely clinical management of infants who were very sick. Ultimately, the overall diagnostic rate of rapid exome sequencing would be driven by the eligibility of seriously ill infants who were suspected to have genetic disorders to be tested, combined with institution-based cost concerns, and the practicality of obtaining rapid results for recognizable single-gene disorders.
Indications for clinical exome sequencing that were assessed to be of relatively low diagnostic yield by HPO phenotype analysis included isolated cardiovascular malformations, congenital diaphragmatic hernia in association with congenital heart defect, and multiple congenital anomalies associated with maternal diabetes. On the other hand, an HPO analysis determined a higher diagnostic rate for the “abnormality of the musculature” phenotype, including hypotonia and joint contractures in this cohort. In another study, complexity of phenotype was noted to yield a higher diagnosis rate compared with an isolated phenotype.25 Further studies with larger sample sizes are needed to corroborate these data for selecting infants who are most likely to benefit from exome sequencing in ICUs.
This study exposes a myriad of monogenic disorders that have been underascertained in critically ill neonates.11 While a comprehensive clinical evaluation is vital in allowing single-gene or panel testing among a subset of sick infants in the ICU, the power of NGS is indisputable in the expeditious detection of disorders that are clinically heterogeneous or atypical because of dual diagnoses.26 Every year, approximately 250 new monogenic disorders are described because of the escalating use of genome-wide NGS.27 The rapid pace of scientific advancement presents a considerable challenge, even to the most astute clinicians who provide care to infants who are suspected to have genetic disorders in a critical care setting. While targeted testing is judicious in select cases, a failure or delay in detecting causative variants in critically ill infants is a substantial concern that is mitigated by exome sequencing. The atypical and unrecognized presentation of genetic disorders that was observed in about 38% of these young infants further challenges the traditional paradigm of tiered genetic testing in critical care units.
One limitation of this study is that it does not provide cost-effective analysis of genomic sequencing in infants compared with other diagnostic strategies. Many qualities of exome sequencing that make it attractive as a clinical diagnostic tool also present challenges for conducting traditional forms of economic evaluation of the service. In a recent study, performing exome sequencing as a first-line test in infants achieved more than 3 times the diagnosis rate, with less than one-third of the cost, compared with a simulated traditional tiered testing strategy of single-gene or gene panels.28 Additional studies on the cost-effectiveness are needed to inform both clinical and third party payers. For any individual patient, the cost-effectiveness of exome sequencing will differ according to the type of exome study that is performed, the point in the diagnostic pathway when exome sequencing is performed, and the particular genetic condition that is implicated. Analyses of data should aim to inform the clinical decision-making process through elucidating the optimal role of sequencing for different groups of patients, taking both costs and effects on clinical decision making, as well as family planning, into account. The higher diagnostic yield from rapid exome testing should be considered alongside the higher associated cost for tests with reduced turnaround times. The cost to establish a diagnosis is of interest, as is the cost of exome sequencing as it relates to a health outcome. The most informative studies would provide evidence on the type of patient for whom exome sequencing is the most cost-effective form of diagnostic testing, which leads to a molecular diagnosis and a change in the care that is rendered according to the results.
Our study provides strong evidence that clinical exome sequencing uncovers monogenic disorders in a significant number of infants in NICUs and pediatric ICUs who are suspected to have genetic disorders, significantly affecting the medical care of more than half of infants who receive diagnoses.
Corresponding Author: Seema R. Lalani, MD, Department of Molecular and Human Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 (firstname.lastname@example.org).
Accepted for Publication: August 1, 2017.
Published Online: October 2, 2017. doi:10.1001/jamapediatrics.2017.3438
Open Access: This article is published under the JN-OA license and is free to read on the day of publication.
Author Contributions: Drs Lalani and Yang had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.
Drs Meng and Pammi contributed equally to this study.
Concept and design: Meng, Pammi, Azamian, Bacino, Beaudet, Gibbs, Eng, Yang, Lalani.
Acquisition, analysis, or interpretation of data: Meng, Pammi, Saronwala, Magoulas, Ghazi, Vetrini, Zhang, He, Dharmadhikari, Qu, Ward, Braxton, Narayanan, Ge, Tokita, Santiago-Sim, Dai, Chiang, Smith, Robak, Bostwick, Schaaf, Potocki, Scaglia, Bacino, Hanchard, Wangler, Scott, Brown, Hu, Belmont, Burrage, Graham, Sutton, Craigen, Plon, Lupski, Gibbs, Muzny, Miller, Wang, Leduc, Xiao, Liu, Shaw, Walkiewicz, Bi, Xia, Lee, Lalani.
Drafting of the manuscript: Meng, Saronwala, Magoulas, Ghazi, Dharmadhikari, Santiago-Sim, Smith, Shaw, Xia, Lee, Yang, Lalani.
Critical revision of the manuscript for important intellectual content: Meng, Pammi, Magoulas, Vetrini, Zhang, He, Qu, Ward, Braxton, Narayanan, Ge, Tokita, Dai, Chiang, Azamian, Robak, Bostwick, Schaaf, Potocki, Scaglia, Bacino, Hanchard, Wangler, Scott, Brown, Hu, Belmont, Burrage, Graham, Sutton, Craigen, Plon, Lupski, Beaudet, Gibbs, Muzny, Miller, Wang, Leduc, Xiao, Liu, Walkiewicz, Bi, Lee, Eng, Lalani.
Statistical analysis: Meng, Saronwala, Ghazi, Shaw, Xia, Yang.
Obtained funding: Gibbs.
Administrative, technical, or material support: Magoulas, Zhang, He, Dharmadhikari, Qu, Narayanan, Tokita, Dai, Chiang, Azamian, Bostwick, Wangler, Scott, Brown, Hu, Lupski, Gibbs, Muzny, Leduc, Xiao, Liu, Walkiewicz, Bi, Xia.
Supervision: Potocki, Scaglia, Hanchard, Sutton, Plon, Beaudet, Gibbs, Lee, Eng, Yang, Lalani.
Other–worked on the molecular diagnosis received by patients included in this article: Vetrini.
Other–clinical support: Belmont.
Other–data gathering: Saronwala.
Conflict of Interest Disclosures: The Department of Molecular and Human Genetics at Baylor College of Medicine derives revenue from the clinical exome sequencing offered at the Baylor Genetics and the authors who are faculty members are indicated in the affiliation section. Dr Yang is a member of the Scientific Advisory Board (SAB) of Veritas Genetics China. No other disclosures were reported.
Funding/Support: Support for this work was provided in part by grant 6-FY16-176 from March of Dimes and grant T32GM007526-39 from the National Institutes of Health.
Role of the Funder/Sponsor: The funding organizations had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
Additional Contributions: We thank all of the families and referring physicians who submitted samples for testing.