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Original Investigation |

Molecular Findings Among Patients Referred for Clinical Whole-Exome Sequencing FREE

Yaping Yang, PhD1; Donna M. Muzny, MS2; Fan Xia, PhD1; Zhiyv Niu, PhD1; Richard Person, PhD1; Yan Ding, MD2; Patricia Ward, MS1; Alicia Braxton, MS1; Min Wang, PhD2; Christian Buhay, BS2; Narayanan Veeraraghavan, PhD2; Alicia Hawes, BS2; Theodore Chiang, MS2; Magalie Leduc, PhD1; Joke Beuten, PhD1; Jing Zhang, PhD1; Weimin He, PhD1; Jennifer Scull, PhD1; Alecia Willis, PhD1; Megan Landsverk, PhD1; William J. Craigen, MD, PhD1,3; Mir Reza Bekheirnia, MD1; Asbjorg Stray-Pedersen, MD, PhD3; Pengfei Liu, PhD1; Shu Wen, PhD1; Wendy Alcaraz, PhD1; Hong Cui, PhD1; Magdalena Walkiewicz, PhD1; Jeffrey Reid, PhD2; Matthew Bainbridge, PhD2; Ankita Patel, PhD1; Eric Boerwinkle, PhD2,4; Arthur L. Beaudet, MD1; James R. Lupski, MD, PhD1,2,3; Sharon E. Plon, MD, PhD1,3; Richard A. Gibbs, PhD1,2; Christine M. Eng, MD1
[+] Author Affiliations
1Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas
2Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas
3Department of Pediatrics, Baylor College of Medicine, Houston, Texas
4Human Genetics Center, University of Texas Health Science Center, Houston
JAMA. 2014;312(18):1870-1879. doi:10.1001/jama.2014.14601.
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Published online

Importance  Clinical whole-exome sequencing is increasingly used for diagnostic evaluation of patients with suspected genetic disorders.

Objective  To perform clinical whole-exome sequencing and report (1) the rate of molecular diagnosis among phenotypic groups, (2) the spectrum of genetic alterations contributing to disease, and (3) the prevalence of medically actionable incidental findings such as FBN1 mutations causing Marfan syndrome.

Design, Setting, and Patients  Observational study of 2000 consecutive patients with clinical whole-exome sequencing analyzed between June 2012 and August 2014. Whole-exome sequencing tests were performed at a clinical genetics laboratory in the United States. Results were reported by clinical molecular geneticists certified by the American Board of Medical Genetics and Genomics. Tests were ordered by the patient’s physician. The patients were primarily pediatric (1756 [88%]; mean age, 6 years; 888 females [44%], 1101 males [55%], and 11 fetuses [1% gender unknown]), demonstrating diverse clinical manifestations most often including nervous system dysfunction such as developmental delay.

Main Outcomes and Measures  Whole-exome sequencing diagnosis rate overall and by phenotypic category, mode of inheritance, spectrum of genetic events, and reporting of incidental findings.

Results  A molecular diagnosis was reported for 504 patients (25.2%) with 58% of the diagnostic mutations not previously reported. Molecular diagnosis rates for each phenotypic category were 143/526 (27.2%; 95% CI, 23.5%-31.2%) for the neurological group, 282/1147 (24.6%; 95% CI, 22.1%-27.2%) for the neurological plus other organ systems group, 30/83 (36.1%; 95% CI, 26.1%-47.5%) for the specific neurological group, and 49/244 (20.1%; 95% CI, 15.6%-25.8%) for the nonneurological group. The Mendelian disease patterns of the 527 molecular diagnoses included 280 (53.1%) autosomal dominant, 181 (34.3%) autosomal recessive (including 5 with uniparental disomy), 65 (12.3%) X-linked, and 1 (0.2%) mitochondrial. Of 504 patients with a molecular diagnosis, 23 (4.6%) had blended phenotypes resulting from 2 single gene defects. About 30% of the positive cases harbored mutations in disease genes reported since 2011. There were 95 medically actionable incidental findings in genes unrelated to the phenotype but with immediate implications for management in 92 patients (4.6%), including 59 patients (3%) with mutations in genes recommended for reporting by the American College of Medical Genetics and Genomics.

Conclusions and Relevance  Whole-exome sequencing provided a potential molecular diagnosis for 25% of a large cohort of patients referred for evaluation of suspected genetic conditions, including detection of rare genetic events and new mutations contributing to disease. The yield of whole-exome sequencing may offer advantages over traditional molecular diagnostic approaches in certain patients.

We previously reported a molecular diagnosis rate of 25% for the first 250 patients without prior diagnosis who were referred to our diagnostic laboratory for whole-exome sequencing.1Whole-exome sequencing analyzes the exons or coding regions of thousands of genes simultaneously using next-generation sequencing techniques. By sequencing the exome of a patient and comparing it with a normal reference sequence, variations in an individual’s DNA sequence can be identified and related back to the individual’s medical concerns in an effort to discover the cause of the medical disorder. The overall molecular diagnostic rate was higher than several other comparable genetic tests, including chromosome studies (5%-10%)2,3 and chromosomal microarray analysis (15%-20%).4 Notably, in 4 separate cases, molecular findings were reported for 2 Mendelian disorders in the same patient, with clinical features characteristic of the 2 different Mendelian disorders. Secondary (incidental) findings were also observed at a low rate.1,57

The clinical application of molecular diagnoses by whole-exome sequencing was demonstrated in our pilot study1; however, fundamental questions remained unanswered. The robustness of the 25% frequency rate for attaining a molecular diagnosis, the contribution of rare variants, modes of inheritance in the patient population, and the precise rate at which rare genetic events such as mosaicism, multiple loci with contributing mutations, and new mutations contribute to disease remained to be established. Refinement of the coupling between clinical data and molecular interpretation is of particular interest because current methods include considerable expert human involvement and are not readily scalable without further automation. Knowledge of pathogenic variation in an ever-increasing number of Mendelian disease genes is growing,8 as well as an increasing understanding of tolerated loss of function mutations in healthy controls.9 This study reports findings from clinical whole-exome sequencing evaluations for 2000 consecutive patients.

Clinical Samples

There were 2000 consecutive, unrelated patient cases in this study who were referred from physicians starting in June 2012 through November 2013 for clinical whole-exome sequencing at the Whole Genome Laboratory of Baylor College of Medicine. The laboratory has been certified by both the College of American Pathologists and the US Centers for Disease Control and Prevention Clinical Laboratory Improvement Amendments of 1988. A request for whole-exome sequencing testing was made solely at the discretion of the referring physician with no inclusion or exclusion criteria and no filtering by the laboratory.10 The only reason for the laboratory to decline testing was for financial reasons (eg, denial of coverage by insurance). Representative clinical cases are presented in Table 1 as examples of prior diagnostic evaluations for patients referred for whole-exome sequencing. These examples were selected based on verification of completeness of prior laboratory testing and for demonstration of possible outcomes of whole-exome sequencing (total cost for laboratory testing for case No. 218 appears in eTable 1 in the Supplement). The initial 250 cases previously reported were excluded.1 Requisition and consent forms are available at https://www.bcm.edu/geneticlabs/.

Table Graphic Jump LocationTable 1.  Descriptions of Prior Diagnostic Evaluations for Cases Referred for Whole-Exome Sequencing

Peripheral blood, tissue, or extracted DNA samples were collected from patients or their parents and submitted with a requisition form, which included informed consent and patient clinical data as previously described.1 Following pretest counseling for whole-exome sequencing, patients and parents/guardians were given options of not receiving specific categories of results (detailed later). The phenotypes of the 2000 patients were categorized into 4 groups at the time of whole-exome sequencing data analysis according to the clinical data provided by the referring physician (Table 2 and eTable 2 in the Supplement).

Table Graphic Jump LocationTable 2.  Patient Demographic Information and Molecular Diagnosis Rates

The neurological group consisted of patients with findings confined to neurological or developmental systems (eg, developmental delay, intellectual disability, autism, speech delay). The neurological plus other organ systems group included findings listed for the neurological group plus at least 1 finding from another organ system, which could include renal, cardiac, gastrointestinal, pulmonary, or multiple congenital anomalies. The specific neurological group included more defined neurological signs and symptoms (eg, ataxia, movement disorder, spastic paraplegia) than the neurological group. The nonneurological group had findings from organ systems other than neurological. The 4 groups were developed by clinical geneticists and medical directors of the laboratory and assignments were made by the laboratory directors at the time of case review and before the results of whole-exome sequencing were known. For cases with complex, overlapping features, consultation with the medical director was performed.

This analysis of deidentified patient data and aggregate clinical genomics data was approved by the institutional review board at Baylor College of Medicine.

Whole-Exome Sequencing and Analyses

A previously described1 whole-exome sequencing protocol, including library construction, exome capture by VCRome version 2.1,11 and HiSeq next-generation sequencing and data analysis,12 was developed by the Human Genome Sequencing Center at Baylor College of Medicine and adapted for the clinical test of whole-exome sequencing. Given our minimum levels of depth of coverage (20 ×) and minimum variant calling requirements, about 94.6% of all single-nucleotide variants (SNVs) and 88.2% of indels (insertions or deletions) could potentially be identified (Box). However, in practice, because the coverage is typically in excess of 20 ×, we can detect greater than 94.5% of all indels. Our interpretation and review process was facilitated by internal annotation databases, a central in-house tracking system of all cases, and automation.

Box Section Ref ID

Box.
Glossary of Terms
Absence of Heterozygosity
  • A stretch of the human genome in which there is no evidence of heterozygous (2 different) variant alleles, only apparently homozygous (the same) variant allele. This may result from a deletion on 1 allele, consanguinity, or uniparental disomy (see below).

Copy Number Variation
  • Gain or loss of large fragments of DNA in the genome.

Depth of Coverage
  • The number of times uniquely aligned sequence reads cover an exome target nucleotide generated during the next-generation sequencing process.

Medically Actionable Incidental Finding
  • This term has been used in a variety of clinical and research contexts to indicate unexpected positive findings. Other terms have been used to describe these findings, particularly when they are actively sought (rather than being unexpectedly discovered). We used incidental findings in this article to indicate the results of a deliberate search for pathogenic or likely pathogenic alterations in genes that are not apparently relevant to a diagnostic indication for which the sequencing test was ordered.6

Molecular Diagnosis
  • Testing designed to confirm or exclude a known or suspected genetic disorder in a symptomatic individual or, prenatally, in a fetus at risk for a certain genetic condition.35

Uniparental Disomy
  • The situation in which both members of a chromosome pair or segments of a chromosome pair are inherited from 1 parent and neither is inherited from the other parent; uniparental disomy can result in an abnormal phenotype in some cases.35 Uniparental disomy can occur as a random event during the formation of egg or sperm cells or may happen in early fetal development. It can also occur during trisomy rescue or monosomy rescue. Uniparental disomy can cause autosomal recessive disease gene mutations to be homozygous in a patient (often referred as unmasking the autosomal recessive mutation) because the patient inherits 2 copies of the chromosome with the mutation from 1 parent, conveying a form of non-Mendelian inheritance and leading to the recessive disease phenotype observed in the patient.

Detailed information about the methods regarding mitochondrial genome sequencing, the single-nucleotide polymorphism (SNP) array, de novo mutation detection, and the statistical analysis appear in the eMethods in the Supplement.

Molecular Diagnosis

The whole-exome sequencing interpretations considered multiple sources of evidence, including the specific variant that was identified, the gene involved, and clinical case history. At the variant level, likely benign variants, including common variants and synonymous or intronic variants that were more than 5 bp from the exon boundaries, were electronically removed as previously described.1 The filtered variant data were then interpreted via extensive literature and database review to consider potential relevance to disease phenotype, penetrance, segregation or inheritance, disease-causing mechanism, and potential pathogenicity of mutations according to the existing and proposed guidelines from the American College of Medical Genetics and Genomics (ACMG) and as previously described.1,13,14

Classification criteria for likely pathogenic and pathogenic variants are described in eTable 3 in the Supplement. Following the variant- and gene-level analyses, a whole-exome sequencing case was further evaluated in search of a molecular diagnosis. A whole-exome sequencing case was classified as molecularly diagnosed if pathogenic or likely pathogenic variants were detected in Mendelian disease genes that overlapped with described phenotypes of the patients, and for recessive disorders if the variants were on both alleles of the same gene (ie, biallelic).

Whole-Exome Sequencing Reporting

The format for reporting of whole-exome sequencing data used the 2-tier strategy as described.1 In brief, the tier 1 (focused) report included the following 6 variant reporting categories: (1) deleterious mutations (also known as pathogenic variants) related to the disease phenotype; (2) variants of unknown clinical significance related to the disease phenotype; (3) medically actionable mutations in genes with potential therapies or established surveillance protocols, including but not limited to the 56 genes recommended by ACMG for medically actionable incidental findings6; (4) autosomal recessive carrier status for genes from the ACMG-recommended population screening panel15; (5) a limited number of pharmacogenetic variants1; (6) clinically relevant pathogenic mutations in the mitochondrial genome, which is a new category not included in our prior study,1 including deleterious point mutations and large structural rearrangements in the homoplasmic state or in greater than 20% of the heteroplasmic state. Variant reporting categories 4 and 5 include secondary findings that the patients and parents may opt out of receiving. Following the publication of the ACMG guidelines for medically actionable incidental finding genes,6 the consent form was updated to include an opt-out for non-ACMG incidental findings; this option was available for samples received on or after September 2013.

Tier 2 reporting included deleterious mutations or variants of unknown clinical significance unrelated to the disease phenotype, and predicted deleterious mutations such as nonsense or splice site mutations in nondisease genes.1 This information may become clinically relevant as new disease-gene relationships become reported in the literature (eg, ARID1B).1,16

Demographics of Clinical Cases

The 2000 consecutive cases submitted to the clinical laboratory for whole-exome sequencing testing were primarily pediatric patients. There were 900 children younger than 5 years (45.0%), 845 children and adolescents from 5 to 18 years of age (42.2%), 244 adults older than 18 years (12.2%), and 11 fetal samples from terminated pregnancies (0.6%) (Table 2). The majority of the patients had neurological disorders or developmental delay (87.8%; neurological, neurological plus other organ systems, and specific neurological groups), and only 12.2% of patients had nonneurological disorders (nonneurological group). The clinical presentations of the 2000 patients in terms of most frequent presenting sign or symptom appear in eTable 2 in the Supplement.

Of the 2000 patients, 128 (6.4%) and 154 (7.7%) parents declined reporting for recessive disorders and pharmacogenetic variants, respectively. Of the 190 patients given the opt-out for non-ACMG incidental gene findings,6 2 (1.1%) opted out of this additional reporting. Overall, 1808 families (90.4%) requested all aspects of the focused report (tier 1 with the 6 variant reporting categories). In addition, the expanded report (tier 2, which included deleterious mutations or variants of unknown clinical significance unrelated to the disease phenotype) was ordered by physicians for 524 patients (26.2%).

Variants Analyzed

Approximately 200 000 to 400 000 variants were identified in each patient. After removing low-quality variants, approximately 1 750 800 variants were analyzed for the 2000 samples (average of about 875 variants per sample), including about 52 000 deleterious mutations (3.0%), 153 230 variants of unknown clinical significance (8.8%), and 1 545 000 benign variants (88.3%). Review time spent on variant classification is facilitated by accumulated curated information on the pathogenicity, familial study results, and frequency at the variant level. For example, checking inheritance patterns for genes and related genetic disorders has been shortened from approximately 6 hours at the launch of whole-exome sequencing testing on October 2011 to approximately 0.5 hours per case at present. Overall, reporting time per case review is approximately 7 hours, which is an improvement from approximately 18 hours during the initial implementation period.

Molecular Diagnoses

Molecular diagnoses were reported for 504 patients (25.2% [95% CI, 23.3%-27.2%]; Table 2 and eTables 4 and 5 in the Supplement), which is a molecular diagnostic yield similar to our initial study.1 We divided the 2000 patients into 4 groups based on the phenotypes provided. The rates for molecular diagnosis varied with clinical presentation. The lowest yield was for patients in the nonneurological group (20.1%) and the highest was for the specific neurological group (36.1%) (Table 2).

Mendelian Patterns Observed

The presumed modes of inheritance of the molecular diagnoses included 280 (53.1%) autosomal dominant, 181 (34.3%) autosomal recessive, 65 (12.3%) X-linked, and 1 (0.2%) mitochondrial (Table 3). Of the 280 autosomal dominant conditions diagnosed, 208 (74.3%) arose as a result of de novo mutations, 32 (11.4%) were inherited, and 40 (14.3%) were undetermined due to lack of parental samples. Of the 65 X-linked disorders, 34 (52.3%) occurred in males and 31 (47.7%) in females; 40 (61.5%) X-linked alleles resulted from de novo mutations, including 17 (42.5%) in males and 23 in females (57.5%). Among the 181 autosomal recessive disorders, 108 (59.7%) demonstrated compound heterozygosity of 2 distinct mutations and 73 (40.3%) had apparently homozygous mutations, including 5 patients with uniparental disomy.

Table Graphic Jump LocationTable 3.  Selected Contributing Genetic Events in Whole-Exome Sequencing Cases With Molecular Diagnoses

Notably, among the cases with de novo mutations in disease genes, mosaicism of the mutant allele was seen in 5 probands (3 with autosomal dominant and 2 with X-linked disorders) (Table 3 and eTable 6 in the Supplement), suggesting the mutation occurred after fertilization. In 4 of the 5 patients, the ratio of mutant allele fraction is low, ranging from 10% to 20%, whereas in the fifth patient the mutant allele was predominant with a mutant allele fraction of 76%, as seen by both whole-exome sequencing calls and Sanger sequencing. This could result from lymphocytes reverting back to the wild-type sequence in a subset of cells. In addition, mosaicism in the parental samples of 2 inherited cases was detected (eTable 6 in the Supplement).

Rare Variants Account for the Majority of Mutant Alleles

A total of 708 presumptive causative variant alleles were identified from the 504 positive cases. The majority of the disease-associated variants are novel (409/708; 57.8%) as defined by neither being previously reported in public mutation databases nor in patient case reports described in the literature at the time of clinical sign out. There were 237 alleles previously reported (33.5%) in patients described in the literature and 62 heterozygous variants in recessive genes were not previously reported (8.8%) in patients but seen in controls predicting carrier status at very low frequencies. There is a wide spectrum of mutant alleles among the disease-associated changes, including 346 missense, 149 frameshift, 134 nonsense, 57 splice, 8 in-frame deletions or duplications, 6 large deletions, 5 start codon defects, 1 stop loss (loss of stop codon), 1 promoter region, and 1 mitochondrial DNA mutation (eTable 4 in the Supplement).

Of 6 probands with large deletion mutations, 2 had large deletions encompassing the Prader-Willi/Angelman region on chromosome 15 as identified by chromosome SNP array. The other 4 patients harbored a point mutation or SNV on 1 allele, opposite a large deletion copy number variant on the other allele as identified by chromosome SNP array or chromosomal microarray studies (eFigure 1 in the Supplement).17

Recurrent Molecular Diagnoses

The majority of the diagnosed cases (282/504; 56.0%) had mutations in a gene found at least twice in the series (eTable 5 in the Supplement). Approximately 30% of the molecular diagnoses occurred in disease genes that were only recently described in the literature (2011 or later; eFigure 2 in the Supplement). Sixty-five of the 504 molecular diagnoses (12.9%) (eTable 5 in the Supplement) were in genes not available at the time the whole-exome sequencing test was ordered as either a single gene or sequencing panel clinical test as described in the Genetic Testing Registry (http://www.ncbi.nlm.nih.gov/gtr/) or other sources.

Variants at 2 Genetic Loci in 1 Personal Genome Potentially Related to the Phenotype

In this series, 23 patients (4.6% of those with diagnoses and 1.4% of all patients) had mutations at 2 distinct disease loci that were related to the phenotype (Table 3 and eTable 7 in the Supplement). As previously reported,1 multiple molecular events in 1 patient leading to blended and often complicated phenotypes remains an appreciable cause of disease.

Uniparental Disomy Resulting in Apparently Homozygous Recessive Disease Alleles

In 5 cases, uniparental disomy of a region was indicated by chromosome SNP array data, 2 involving chromosome 2 and 1 each involving chromosomes 3, 9, and 22. Uniparental disomy of chromosomes 2, 3, 9, and 22 can be seen in healthy controls and there is no evidence for imprinted gene expression leading to a clinical phenotype associated with uniparental disomy of those chromsomes.18 However, in our patients, uniparental disomy caused autosomal recessive disease gene mutations to be homozygous in the proband because the child inherits 2 copies of the chromosome with the mutation from 1 parent, conveying a form of non-Mendelian inheritance and leading to the recessive disease phenotype observed in the patient (Table 3 and eTable 8 and eFigure 3 in the Supplement).

Medically Actionable Incidental Findings

In the 2000 cases, 95 medically actionable incidental findings were reported in 92 patients (4.6%). Three patients had more than 1 such finding. In 59 patients (3%), the incidental findings occurred in genes included in the ACMG list of 56 genes recommended to be disclosed.6 The remaining 33 patients (1.7%) had mutations in genes reported based on our local criteria for reporting of medically actionable results (Table 4). Of the non-ACMG findings, 6 were cases of glucose-6-phosphate dehydrogenase deficiency (X-linked) and 5 were cases carrying mitochondrial DNA mutations associated with an increased risk of aminoglycoside-induced nonsyndromic hearing loss. We report these 2 disorders given the current recommendations for mutation carriers to avoid exposure to specific agents. Similarly, the incidental finding of Fabry disease in 1 young male patient has direct clinical benefit to the patient and family because of the clinical availability of enzyme therapy.19

Table Graphic Jump LocationTable 4.  Medically Actionable Incidental Findings

Our protocol returns medically actionable results for the proband but does not automatically report the results for parents. Testing of parents for the medically actionable finding can be ordered free of charge after disclosure of the proband’s results. To date, of the 92 patients with incidental findings, 33 parents from 19 families have requested results.

Updated Summary Analysis

We have performed a summary analysis of unselected, unrelated cases completed and reported from the close of the current 2000 case cohort (November 2013) through August 30, 2014, bringing the total number of cases included in this report to 3386 cases. The overall molecular diagnostic rate for the total cases remains unchanged at 25% (830 molecular diagnosis of 3386 total cases).

Of the additional 1386 patients, the sex distributions were 639 females (46.1%), 740 males (53.4%), and 7 fetuses (0.5%). In addition, 553 were younger than 5 years (39.9%), 676 were 5 to 18 years of age (48.8%), and 150 were older than 18 years (10.8%).

It should be noted that the most recent 457 of these cases were analyzed using an updated capture reagent designed to improve sequence coverage of the exome.20 A subanalysis of these 457 cases demonstrates a 24% diagnostic rate, which is not significantly different from the main cohort.

Data from clinical whole-exome sequencing for 2000 sequentially referred patients allow further insight into both the application of whole-exome sequencing to medical practice and the genomic architecture of Mendelian disease. A molecular diagnosis rate of 25% was observed in our pilot study1 of 250 cases and has remained consistent in this larger series of predominantly pediatric patients with diverse clinical presentations most notable for intellectual disability and neurological phenotypes. Of the 2000 whole-exome sequencing samples, the molecular diagnosis rate was highest for children with specific neurological findings (36.1%). This category is heterogeneous but was generally characterized by patients with more specific clinical presentations, perhaps facilitating correlations between genotype and phenotype.

Clinical exomes identified a broad range of inheritance patterns and molecular mechanisms for disease. Of patients diagnosed with an autosomal dominant disorder and with parental samples submitted, about 87% resulted from de novo mutations. This finding provides a cautionary note to the application of carrier testing to reduce the burden of genetic disease and demonstrates the need for detecting de novo events prenatally.

We observed an equivalent number of male and female patients diagnosed with X-linked disorders. The X-linked diagnoses in females were in genes known to affect mainly females (4 cases of MECP2, 2 cases of CDKL5) or males and females equally (eg, KDM6A, SMC1A, PDHA1)2124 or were associated with specific phenotypes seen in females (eg, DCX mutation associated with band heterotopia in females vs classic lissencephaly in males). Patients with apparently homozygous mutations causing autosomal recessive conditions were found to result from several molecular mechanisms, including 59 cases inheriting the same rare disease allele from each parent, 5 cases in which uniparental disomy caused homozygosity for a SNV allele, and 4 cases of compound heterozygosity for a point mutation and large deletion copy number variant in the same gene. Autosomal recessive disorders accounted for 34.3% (n = 181) of the molecular diagnoses, in contrast to a previous report of 100 patients with intellectual disability, in which only 1 of 16 patients with probable molecular diagnoses had an autosomal recessive disorder.25 Excluding the uniparental disomy cases, 68 of our patients were apparently homozygous for the same rare allele of which half (n = 34) were in patients known to have consanguineous parents. The extent of absence of heterozygosity in the remaining patients suggested that an additional 9 had shared ancestry. Overall, homozygous mutations identical by descent may account for 8.5% (43 of 504) of the total positive cases, indicating that consanguinity may play a role in the higher percentage of autosomal recessive disorders observed in our diagnosed patients.

Due to the change in sequencing technology in which each base in the exome is sequenced hundreds of times, whole-exome sequencing allows detection of patients who only carry the mutation in a small percentage of their cells (low-level mosaicism) and enables an improved estimate of the fraction of mutant cells.2629 Five of the 504 diagnosed patients (1%) demonstrated mosaicism for a mutant allele in genes with phenotypic overlap with the patient’s presentation.

Approximately 30% of positive cases reported herein harbored presumptive causative mutations in disease genes discovered since 2011, reflecting the benefits of an accelerating pace of disease gene discovery. Whole-exome sequencing testing is a platform suitable for timely incorporation of new disease genes because it interrogates entire coding regions, making it possible to automate the updating of disease gene annotation for clinical reporting, even after the initial analysis is completed. Of the 65 positive cases that would not have been diagnosed by other molecular methods at the time the test was ordered, 13 were identified by reanalysis after the initial whole-exome sequencing report (eTable 5 in the Supplement). It is therefore likely that a significant proportion of undiagnosed cases harbor mutations in still yet to be discovered disease genes. In addition, new capture reagents targeted at poorly covered exome regions are being developed to improve the sequencing of known disease genes not well interrogated in the current assay to further improve molecular diagnosis yield.20 Two molecular diagnoses were found within the individual personal genomes of 4.6% of the molecularly diagnosed cases. These cases highlight oligogenic models of disease etiology and reflect that simple Mendelian gene effects can compound to yield complex genetic profiles.30

There has been great attention to the reporting of incidental findings since the ACMG guidelines were published.3134 We have found a stable rate of approximately 3% of patients with mutations reported in the genes on the ACMG list. We identified and reported medically actionable findings in a total of 4.6% of cases when including other loci that by expert opinion of our clinical and diagnostic team are considered to be medically indicated, which is comparable with other studies.7 Further studies are needed to analyze the clinical utility of this information as at-risk presymptomatic individuals (and their family members) are identified and potentially entered into screening protocols. Debate continues regarding the definition of medically actionable findings and the threshold for reporting.

The limitations of whole-exome sequencing as a diagnostic modality relate to incomplete coverage of exonic regions and evolving knowledge of variant interpretation. The molecular diagnostic rate of 25% may be an underascertainment due to current technical limitations of exome sequencing: (1) to provide 100% coverage of the coding regions due to sequence architecture (eg, high G + C content) and (2) the ability to detect copy number variants. The interpretation of variants as pathogenic, nonpathogenic, or of uncertain significance is based on current information in the literature and databases such as ClinVar (http://www.ncbi.nlm.nih.gov/clinvar/) and may change as understanding of the genome evolves. Additional data from family studies or further feedback from referring physicians may also help establish more diagnoses. Limitations to knowledge of the clinical utility of whole-exome sequencing relate to incomplete information on patient outcomes. For the 25% of cases that received a molecular diagnosis, this information ended the diagnostic odyssey, provided more informed medical management, and allowed for precise determination of reproductive risks; however, relatively few cases resulted in specific treatment to reverse the condition. Our specific study is limited by the setting in a clinical diagnostic laboratory, which reflects the real-world diagnostic context, but does not allow for collection of complete medical histories, medical records, or prior testing.

In terms of adverse experiences in the reporting of whole-exome sequencing, there were 5 cases of suspected nonpaternity among the approximately 3000 cases in which whole-exome sequencing was performed. These were uncovered during our validation process of confirming variants identified in the proband in parental samples. Misidentified parentage is a well-described risk of genetic testing and is stated as such in our consent documents. Approximately 5% of cases received a medically actionable diagnosis that was unrelated to the indication for testing. There may indeed be cases in which disclosure of these results has brought anxiety and perhaps increased medical costs in terms of testing and evaluation of other family members; however, this is best addressed in studies of the ethical implications of genome-wide molecular diagnostic approaches.

Whole-exome sequencing provided a potential molecular diagnosis for 25% of a large cohort of patients referred for evaluation of suspected genetic conditions, including detection of a number of rare genetic events and new mutations, contributing to disease. The observed flexibility and yield of whole-exome sequencing suggest that whole-exome sequencing may offer advantages over traditional molecular diagnostic approaches in certain patients.

Corresponding Author: Christine M. Eng, MD, Department of Molecular and Human Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 (ceng@bcm.edu).

Published Online: October 18, 2014. doi:10.1001/jama.2014.14601.

Author Contributions: Drs Eng and Yang had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.

Study concept and design: Yang, Xia, Boerwinkle, Beaudet, Lupski, Plon, Gibbs, Eng.

Acquisition, analysis, or interpretation of data: All authors.

Drafting of the manuscript: Yang, Xia, Niu, Liu, Lupski, Plon, Eng.

Critical revision of the manuscript for important intellectual content: Yang, Muzny, Ward, Braxton, Wang, Buhay, Veeraraghavan, Hawes, Chiang, Leduc, Beuten, Zhang, He, Scull, Willis, Landsverk, Craigen, Bekheirnia, Stray-Pedersen, Wen, Alcaraz, Cui, Walkiewicz, Reid, Bainbridge, Patel, Boerwinkle, Beaudet, Lupski, Plon, Gibbs, Eng.

Statistical analysis: Yang, Xia, Niu, Buhay, Leduc, Beuten, Bainbridge, Boerwinkle.

Obtained funding: Lupski, Plon, Gibbs.

Administrative, technical, or material support: Yang, Muzny, Xia, Ding, Ward, Braxton, Wang, Veeraraghavan, Hawes, Chiang, Leduc, Craigen, Stray-Pedersen, Wen, Reid, Patel, Beaudet, Gibbs, Eng.

Study supervision: Yang, Muzny, Boerwinkle, Beaudet, Lupski, Plon, Gibbs, Eng.

Conflict of Interest Disclosures: The authors have completed and submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. The Department of Molecular and Human Genetics at Baylor College of Medicine derives revenue from the clinical exome sequencing offered in the Medical Genetics Laboratory and Whole Genome Laboratory and the authors who are faculty members are indicated in the affiliation section. Dr Willis reported being currently employed by LabCorp, which performs commercial genetic testing. Dr Reid reported that being currently employed at Regeneron and owning stock in that company. Dr Bainbridge reported being the CEO of Codified Genomics. Dr Lupski reported owning stock in 23andMe and Ion Torrent Systems; and being a co-inventor on multiple European and US patents related to molecular diagnostics for inherited neuropathies, eye diseases, and bacterial genomic fingerprinting. No other disclosures were reported.

Funding/Support: This work was funded in part by grants U54 HG003273 (awarded to Dr Gibbs), U01 HG006485 (Dr Plon), and U54 HG006542 (Dr Lupski) from the National Human Genome Research Institute and grant R01 NS058529 (awarded to Dr Lupski) from the National Institute of Neurological Disorders and Stroke.

Role of the Funder/Sponsor: The National Human Genome Research Institute and the National Institute of Neurological Disorders and Stroke 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 patients and referring physicians who submitted samples for testing. The following persons (all are full-time employees of Baylor College of Medicine, Houston, Texas) contributed to technical and bioinformatics development and support: Paul Lurix, PhD, Irene Miloslavskaya, BS, Wen Liu, BS, Jingjing Ma, PhD, Sarah Matakis, BS, Nehad Saada, MS, Jignesh Chandarana, MS, Lhia Krista Dolores-Freiberg, MS, Chunjing Qu, PhD, HarshaVardhan Doddapaneni, PhD, Jianhong Hu, PhD, Huyen Dinh, BS, Yi Han, PhD, Viktoriya Korchina, BS, Robert Glenn, PhD; manuscript submission and reference list: Cindy Pleckham, BS; and administrative program support: Jeffrey Mize, BS, Michelle Rives, BS, and Sean Kim, MBA. No additional compensation was received for these contributions.

Yang  Y, Muzny  DM, Reid  JG,  et al.  Clinical whole-exome sequencing for the diagnosis of Mendelian disorders. N Engl J Med. 2013;369(16):1502-1511.
PubMed   |  Link to Article
Shevell  M, Ashwal  S, Donley  D,  et al; Quality Standards Subcommittee of the American Academy of Neurology; Practice Committee of the Child Neurology Society.  Practice parameter: evaluation of the child with global developmental delay: report of the Quality Standards Subcommittee of the American Academy of Neurology and The Practice Committee of the Child Neurology Society. Neurology. 2003;60(3):367-380.
PubMed   |  Link to Article
Shaffer  LG; American College of Medical Genetics Professional Practice and Guidelines Committee.  American College of Medical Genetics guideline on the cytogenetic evaluation of the individual with developmental delay or mental retardation. Genet Med. 2005;7(9):650-654.
PubMed   |  Link to Article
Miller  DT, Adam  MP, Aradhya  S,  et al.  Consensus statement: chromosomal microarray is a first-tier clinical diagnostic test for individuals with developmental disabilities or congenital anomalies. Am J Hum Genet. 2010;86(5):749-764.
PubMed   |  Link to Article
Kohane  IS, Hsing  M, Kong  SW.  Taxonomizing, sizing, and overcoming the incidentalome. Genet Med. 2012;14(4):399-404.
PubMed   |  Link to Article
Green  RC, Berg  JS, Grody  WW,  et al; American College of Medical Genetics and Genomics.  ACMG recommendations for reporting of incidental findings in clinical exome and genome sequencing. Genet Med. 2013;15(7):565-574.
PubMed   |  Link to Article
Dorschner  MO, Amendola  LM, Turner  EH,  et al; National Heart, Lung, and Blood Institute Grand Opportunity Exome Sequencing Project.  Actionable, pathogenic incidental findings in 1,000 participants’ exomes. Am J Hum Genet. 2013;93(4):631-640.
PubMed   |  Link to Article
Bamshad  MJ, Shendure  JA, Valle  D,  et al; Centers for Mendelian Genomics.  The Centers for Mendelian Genomics: a new large-scale initiative to identify the genes underlying rare Mendelian conditions. Am J Med Genet A. 2012;158A(7):1523-1525.
PubMed   |  Link to Article
MacArthur  DG, Balasubramanian  S, Frankish  A,  et al; 1000 Genomes Project Consortium.  A systematic survey of loss-of-function variants in human protein-coding genes. Science. 2012;335(6070):823-828.
PubMed   |  Link to Article
ACMG Board of Directors.  Points to consider in the clinical application of genomic sequencing. Genet Med. 2012;14(8):759-761.
PubMed   |  Link to Article
Bainbridge  MN, Wang  M, Wu  Y,  et al.  Targeted enrichment beyond the consensus coding DNA sequence exome reveals exons with higher variant densities. Genome Biol. 2011;12(7):R68.
PubMed   |  Link to Article
Reid  JG, Carroll  A, Veeraraghavan  N,  et al.  Launching genomics into the cloud: deployment of Mercury, a next generation sequence analysis pipeline. BMC Bioinformatics. 2014;15:30.
PubMed   |  Link to Article
Richards  CS, Bale  S, Bellissimo  DB,  et al; Molecular Subcommittee of the ACMG Laboratory Quality Assurance Committee.  ACMG recommendations for standards for interpretation and reporting of sequence variations: revisions 2007. Genet Med. 2008;10(4):294-300.
PubMed   |  Link to Article
Richards  CS, Rehm  HL, Bale  S,  et al. Labs are from Venus and docs are from Mars: interpretation and reporting of sequence variants (short course). Presented at: American College of Medical Genetics and Genomics annual meeting; March 25, 2014; Nashville, TN.
Gross  SJ, Pletcher  BA, Monaghan  KG; Professional Practice and Guidelines Committee.  Carrier screening in individuals of Ashkenazi Jewish descent. Genet Med. 2008;10(1):54-56.
PubMed   |  Link to Article
Santen  GW, Aten  E, Sun  Y,  et al.  Mutations in SWI/SNF chromatin remodeling complex gene ARID1B cause Coffin-Siris syndrome. Nat Genet. 2012;44(4):379-380.
PubMed   |  Link to Article
Bayer  D, Martinez  C, Sorte  H,  et al.  Vaccine-associated varicella and rubella infections in severe combined immunodeficiency with isolated CD4 lymphocytopenia and mutations in IL7r detected by tandem whole exome sequencing and chromosomal microarray [published online July 21, 2014]. Clin Exp Immunol. doi:10.1111/cei.12421.
PubMed
Shaffer  LG, Agan  N, Goldberg  JD, Ledbetter  DH, Longshore  JW, Cassidy  SB.  American College of Medical Genetics statement of diagnostic testing for uniparental disomy. Genet Med. 2001;3(3):206-211.
PubMed   |  Link to Article
Eng  CM, Guffon  N, Wilcox  WR,  et al; International Collaborative Fabry Disease Study Group.  Safety and efficacy of recombinant human alpha-galactosidase A—replacement therapy in Fabry’s disease. N Engl J Med. 2001;345(1):9-16.
PubMed   |  Link to Article
Muzny  DM, Wang  M, Buhay  C,  et al. Rapid and cost-effective whole exome sequencing for clinical diagnosis and personalized medicine. Presented at: 63rd Annual Meeting of the American Society of Human Genetics; October 23, 2013; Boston, MA. Abstract 24.
Lederer  D, Grisart  B, Digilio  MC,  et al.  Deletion of KDM6A, a histone demethylase interacting with MLL2, in three patients with Kabuki syndrome. Am J Hum Genet. 2012;90(1):119-124.
PubMed   |  Link to Article
Miyake  N, Koshimizu  E, Okamoto  N,  et al.  MLL2 and KDM6A mutations in patients with Kabuki syndrome. Am J Med Genet A. 2013;161A(9):2234-2243.
PubMed   |  Link to Article
Lissens  W, De Meirleir  L, Seneca  S,  et al.  Mutations in the X-linked pyruvate dehydrogenase (E1) alpha subunit gene (PDHA1) in patients with a pyruvate dehydrogenase complex deficiency. Hum Mutat. 2000;15(3):209-219.
PubMed   |  Link to Article
Musio  A, Selicorni  A, Focarelli  ML,  et al.  X-linked Cornelia de Lange syndrome owing to SMC1L1 mutations. Nat Genet. 2006;38(5):528-530.
PubMed   |  Link to Article
de Ligt  J, Willemsen  MH, van Bon  BW,  et al.  Diagnostic exome sequencing in persons with severe intellectual disability. N Engl J Med. 2012;367(20):1921-1929.
PubMed   |  Link to Article
Tapper  WJ, Foulds  N, Cross  NC,  et al.  Megalencephaly syndromes: exome pipeline strategies for detecting low-level mosaic mutations. PLoS One. 2014;9(1):e86940.
PubMed   |  Link to Article
Lindhurst  MJ, Sapp  JC, Teer  JK,  et al.  A mosaic activating mutation in AKT1 associated with the Proteus syndrome. N Engl J Med. 2011;365(7):611-619.
PubMed   |  Link to Article
Lupski  JR.  Genetics. Genome mosaicism—one human, multiple genomes. Science. 2013;341(6144):358-359.
PubMed   |  Link to Article
Campbell  IM, Yuan  B, Robberecht  C,  et al.  Parental somatic mosaicism is underrecognized and influences recurrence risk of genomic disorders. Am J Hum Genet. 2014;95(2):173-182.
PubMed   |  Link to Article
Lemmers  RJ, Tawil  R, Petek  LM,  et al.  Digenic inheritance of an SMCHD1 mutation and an FSHD-permissive D4Z4 allele causes facioscapulohumeral muscular dystrophy type 2. Nat Genet. 2012;44(12):1370-1374.
PubMed   |  Link to Article
Eng  CM, Yang  Y, Plon  SE.  Genetic diagnosis through whole-exome sequencing. N Engl J Med. 2014;370(11):1068.
PubMed
Green  RC, Lupski  JR, Biesecker  LG.  Reporting genomic sequencing results to ordering clinicians: incidental, but not exceptional. JAMA. 2013;310(4):365-366.
PubMed   |  Link to Article
Ross  LF, Rothstein  MA, Clayton  EW.  Mandatory extended searches in all genome sequencing: “incidental findings,” patient autonomy, and shared decision making. JAMA. 2013;310(4):367-368.
PubMed   |  Link to Article
Klitzman  R, Appelbaum  PS, Chung  W.  Return of secondary genomic findings vs patient autonomy: implications for medical care. JAMA. 2013;310(4):369-370.
PubMed   |  Link to Article
Pagon  RA, Adam  MP, Ardinger  HH,  et al. GeneReviews.http://www.ncbi.nlm.nih.gov/books/NBK5191/. Accessed July 14, 2014.

Figures

Tables

Table Graphic Jump LocationTable 1.  Descriptions of Prior Diagnostic Evaluations for Cases Referred for Whole-Exome Sequencing
Table Graphic Jump LocationTable 2.  Patient Demographic Information and Molecular Diagnosis Rates
Table Graphic Jump LocationTable 3.  Selected Contributing Genetic Events in Whole-Exome Sequencing Cases With Molecular Diagnoses
Table Graphic Jump LocationTable 4.  Medically Actionable Incidental Findings

References

Yang  Y, Muzny  DM, Reid  JG,  et al.  Clinical whole-exome sequencing for the diagnosis of Mendelian disorders. N Engl J Med. 2013;369(16):1502-1511.
PubMed   |  Link to Article
Shevell  M, Ashwal  S, Donley  D,  et al; Quality Standards Subcommittee of the American Academy of Neurology; Practice Committee of the Child Neurology Society.  Practice parameter: evaluation of the child with global developmental delay: report of the Quality Standards Subcommittee of the American Academy of Neurology and The Practice Committee of the Child Neurology Society. Neurology. 2003;60(3):367-380.
PubMed   |  Link to Article
Shaffer  LG; American College of Medical Genetics Professional Practice and Guidelines Committee.  American College of Medical Genetics guideline on the cytogenetic evaluation of the individual with developmental delay or mental retardation. Genet Med. 2005;7(9):650-654.
PubMed   |  Link to Article
Miller  DT, Adam  MP, Aradhya  S,  et al.  Consensus statement: chromosomal microarray is a first-tier clinical diagnostic test for individuals with developmental disabilities or congenital anomalies. Am J Hum Genet. 2010;86(5):749-764.
PubMed   |  Link to Article
Kohane  IS, Hsing  M, Kong  SW.  Taxonomizing, sizing, and overcoming the incidentalome. Genet Med. 2012;14(4):399-404.
PubMed   |  Link to Article
Green  RC, Berg  JS, Grody  WW,  et al; American College of Medical Genetics and Genomics.  ACMG recommendations for reporting of incidental findings in clinical exome and genome sequencing. Genet Med. 2013;15(7):565-574.
PubMed   |  Link to Article
Dorschner  MO, Amendola  LM, Turner  EH,  et al; National Heart, Lung, and Blood Institute Grand Opportunity Exome Sequencing Project.  Actionable, pathogenic incidental findings in 1,000 participants’ exomes. Am J Hum Genet. 2013;93(4):631-640.
PubMed   |  Link to Article
Bamshad  MJ, Shendure  JA, Valle  D,  et al; Centers for Mendelian Genomics.  The Centers for Mendelian Genomics: a new large-scale initiative to identify the genes underlying rare Mendelian conditions. Am J Med Genet A. 2012;158A(7):1523-1525.
PubMed   |  Link to Article
MacArthur  DG, Balasubramanian  S, Frankish  A,  et al; 1000 Genomes Project Consortium.  A systematic survey of loss-of-function variants in human protein-coding genes. Science. 2012;335(6070):823-828.
PubMed   |  Link to Article
ACMG Board of Directors.  Points to consider in the clinical application of genomic sequencing. Genet Med. 2012;14(8):759-761.
PubMed   |  Link to Article
Bainbridge  MN, Wang  M, Wu  Y,  et al.  Targeted enrichment beyond the consensus coding DNA sequence exome reveals exons with higher variant densities. Genome Biol. 2011;12(7):R68.
PubMed   |  Link to Article
Reid  JG, Carroll  A, Veeraraghavan  N,  et al.  Launching genomics into the cloud: deployment of Mercury, a next generation sequence analysis pipeline. BMC Bioinformatics. 2014;15:30.
PubMed   |  Link to Article
Richards  CS, Bale  S, Bellissimo  DB,  et al; Molecular Subcommittee of the ACMG Laboratory Quality Assurance Committee.  ACMG recommendations for standards for interpretation and reporting of sequence variations: revisions 2007. Genet Med. 2008;10(4):294-300.
PubMed   |  Link to Article
Richards  CS, Rehm  HL, Bale  S,  et al. Labs are from Venus and docs are from Mars: interpretation and reporting of sequence variants (short course). Presented at: American College of Medical Genetics and Genomics annual meeting; March 25, 2014; Nashville, TN.
Gross  SJ, Pletcher  BA, Monaghan  KG; Professional Practice and Guidelines Committee.  Carrier screening in individuals of Ashkenazi Jewish descent. Genet Med. 2008;10(1):54-56.
PubMed   |  Link to Article
Santen  GW, Aten  E, Sun  Y,  et al.  Mutations in SWI/SNF chromatin remodeling complex gene ARID1B cause Coffin-Siris syndrome. Nat Genet. 2012;44(4):379-380.
PubMed   |  Link to Article
Bayer  D, Martinez  C, Sorte  H,  et al.  Vaccine-associated varicella and rubella infections in severe combined immunodeficiency with isolated CD4 lymphocytopenia and mutations in IL7r detected by tandem whole exome sequencing and chromosomal microarray [published online July 21, 2014]. Clin Exp Immunol. doi:10.1111/cei.12421.
PubMed
Shaffer  LG, Agan  N, Goldberg  JD, Ledbetter  DH, Longshore  JW, Cassidy  SB.  American College of Medical Genetics statement of diagnostic testing for uniparental disomy. Genet Med. 2001;3(3):206-211.
PubMed   |  Link to Article
Eng  CM, Guffon  N, Wilcox  WR,  et al; International Collaborative Fabry Disease Study Group.  Safety and efficacy of recombinant human alpha-galactosidase A—replacement therapy in Fabry’s disease. N Engl J Med. 2001;345(1):9-16.
PubMed   |  Link to Article
Muzny  DM, Wang  M, Buhay  C,  et al. Rapid and cost-effective whole exome sequencing for clinical diagnosis and personalized medicine. Presented at: 63rd Annual Meeting of the American Society of Human Genetics; October 23, 2013; Boston, MA. Abstract 24.
Lederer  D, Grisart  B, Digilio  MC,  et al.  Deletion of KDM6A, a histone demethylase interacting with MLL2, in three patients with Kabuki syndrome. Am J Hum Genet. 2012;90(1):119-124.
PubMed   |  Link to Article
Miyake  N, Koshimizu  E, Okamoto  N,  et al.  MLL2 and KDM6A mutations in patients with Kabuki syndrome. Am J Med Genet A. 2013;161A(9):2234-2243.
PubMed   |  Link to Article
Lissens  W, De Meirleir  L, Seneca  S,  et al.  Mutations in the X-linked pyruvate dehydrogenase (E1) alpha subunit gene (PDHA1) in patients with a pyruvate dehydrogenase complex deficiency. Hum Mutat. 2000;15(3):209-219.
PubMed   |  Link to Article
Musio  A, Selicorni  A, Focarelli  ML,  et al.  X-linked Cornelia de Lange syndrome owing to SMC1L1 mutations. Nat Genet. 2006;38(5):528-530.
PubMed   |  Link to Article
de Ligt  J, Willemsen  MH, van Bon  BW,  et al.  Diagnostic exome sequencing in persons with severe intellectual disability. N Engl J Med. 2012;367(20):1921-1929.
PubMed   |  Link to Article
Tapper  WJ, Foulds  N, Cross  NC,  et al.  Megalencephaly syndromes: exome pipeline strategies for detecting low-level mosaic mutations. PLoS One. 2014;9(1):e86940.
PubMed   |  Link to Article
Lindhurst  MJ, Sapp  JC, Teer  JK,  et al.  A mosaic activating mutation in AKT1 associated with the Proteus syndrome. N Engl J Med. 2011;365(7):611-619.
PubMed   |  Link to Article
Lupski  JR.  Genetics. Genome mosaicism—one human, multiple genomes. Science. 2013;341(6144):358-359.
PubMed   |  Link to Article
Campbell  IM, Yuan  B, Robberecht  C,  et al.  Parental somatic mosaicism is underrecognized and influences recurrence risk of genomic disorders. Am J Hum Genet. 2014;95(2):173-182.
PubMed   |  Link to Article
Lemmers  RJ, Tawil  R, Petek  LM,  et al.  Digenic inheritance of an SMCHD1 mutation and an FSHD-permissive D4Z4 allele causes facioscapulohumeral muscular dystrophy type 2. Nat Genet. 2012;44(12):1370-1374.
PubMed   |  Link to Article
Eng  CM, Yang  Y, Plon  SE.  Genetic diagnosis through whole-exome sequencing. N Engl J Med. 2014;370(11):1068.
PubMed
Green  RC, Lupski  JR, Biesecker  LG.  Reporting genomic sequencing results to ordering clinicians: incidental, but not exceptional. JAMA. 2013;310(4):365-366.
PubMed   |  Link to Article
Ross  LF, Rothstein  MA, Clayton  EW.  Mandatory extended searches in all genome sequencing: “incidental findings,” patient autonomy, and shared decision making. JAMA. 2013;310(4):367-368.
PubMed   |  Link to Article
Klitzman  R, Appelbaum  PS, Chung  W.  Return of secondary genomic findings vs patient autonomy: implications for medical care. JAMA. 2013;310(4):369-370.
PubMed   |  Link to Article
Pagon  RA, Adam  MP, Ardinger  HH,  et al. GeneReviews.http://www.ncbi.nlm.nih.gov/books/NBK5191/. Accessed July 14, 2014.
CME


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Multimedia

Supplement.

eMethods

eTable 1. Prior workup and cost for WES case #218

eTable 2. Clinical data on the 2000 patient cohort

eTable 3. Variant interpretation criteria

eTable 4. Information on the causative mutations in the molecularly diagnosed cases

eTable 5. Selected contributing genes in cases with molecular diagnoses

eTable 6. Patients and parents that demonstrated mosaicism

eTable 7. Contributing genes and inheritance patterns in the 23 cases with two diagnoses

eTable 8. Uniparental disomy (UPD) cases

eFigure 1. Large deletions detected in WES cases

eFigure 2. Contribution of newly discovered disease genes to WES diagnosis

eFigure 3. UPD unmasking mutations in recessive disorders

eReferences

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