Tranclational Rapid Whole-Genome Sequencing for Genetic Disease Diagnosis in es RD Neonatal Intensive Care Units Carol Jean Saunders et al. Sci Trans! Med 4, 154ra135 (2012); DOI: 10.1126/scitransilmed.3004041 AVAAAS Editor's Summary Speed Heals The waiting might not be the hardest part for families receiving a diagnosis in neonatal intensive care units (NICUs), but it can be destructive nonetheless. While they wait on pins and needles for their newborn baby's diagnosis, parents anguish, nurture false hope, wrestle with feelings of guilt—and all the while, treatment and counseling are delayed. Now, Saunders et al. describe a method that uses whole-genome sequencing (WGS) to achieve a differential diagnosis of genetic disorders in 50 hours rather than the 4 to 6 weeks. Many of the ~3,500 genetic diseases of known cause manifest symptoms during the first 28 days of life, but full clinical symptoms might not be evident in newborns. Genetic screens performed on newborns are rapid, but are designed to unearth only a few genetic disorders, and serial gene sequencing is too slow to be clinically useful. Together, these complicating factors lead to the administration of treatments based on nonspecific or obscure symptoms, which can be unhelpful or dangerous. Often, either death or release from the hospital occurs before the diagnosis is made. The new WGS Protocol cuts analysis time by using automated bioinformatic analysis. Using their newly developed protocol, the authors performed retrospective 50-hour WGS to confirm, in two children, known molecular diagnoses that had been made using other methods. Next, prospective WGS revealed a molecular diagnosis of a BRAT1-related syndrome in one newborn; identified the causative mutation in a baby with epidermolysis bullosa; ruled out the presence of defects in candidate genes in a third infants; and, in a pedigree, pinpointed BCL9L as a new recessive gene (HTX6) that gives rise to visceral heterotaxy —the abnormal arrangement of organs in the chest and abdominal cavities. WGS of parents or affected siblings helped to speed up the identification of disease genes in the prospective cases. These findings strengthen the notion that WGS can shorten the differential diagnosis process and quicken to move toward targeted treatment and genetic and prognostic counseling. The authors note that the speed and cost of WGS continues to rise and fall, respectively. However, fast WGS is clinically useful when coupled with fast and affordable methods of analysis. A complete electronic version of this article and other services, including high-resolution figures, can be found at: http://stm.sciencemag.org/content/4/154/154ra135.full.html Downloaded from stm.sciencemag.org on February 10, 2014 Supplementary Material can be found in the online version of this article at: http://stm.sciencemag.org/content/suppl/201 2/10/01/4.154.154ra135.DC1.html Related Resources for this article can be found online at: http://stm.sciencemag.org/content/scitransmed/5/194/194cm5.full.html http://stm.sciencemag.org/content/scitransmed/5/194/194ed10.full.html http://stm.sciencemag.org/content/scitransmed/5/198/198ed1 2.full.html http://www.sciencemag.org/content/sci/342/6155/197.full.html Information about obtaining reprints of this article or about obtaining permission to reproduce this article in whole or in part can be found at: http://www.sciencemag.org/about/permissions.dtl Science Translational Medicine (print ISSN 1946-6234; online ISSN 1946-6242) is published weekly, except the last week in December, by the American Association for the Advancement of Science, 1200 New York Avenue NW, Washington, DC 20005. Copyright 2012 by the American Association for the Advancement of Science; all rights reserved. The title Science Translational Medicine is a registered trademark of AAAS. EFTA00315100

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RESEARCH ARTICLE DIAGNOSTICS Rapid Whole-Genome Sequencing for Genetic Disease Diagnosis in Neonatal Intensive Care Units Carol Jean Saunders,'?>*>* Neil Andrew Miller,"?“* Sarah Elizabeth Soden,'?“= Darrell Lee Dinwiddie,"”**** Aaron Noll,’ Noor Abu Alnadi,* Nevene Andraws,° Melanie LeAnn Patterson,’? Lisa Ann Krivohlavek,"? Joel Fellis,° Sean Humphray,° Peter Saffrey,® Zoya Kingsbury,° Jacqueline Claire Weir, Jason Betley,° Russell James Grocock,® Elliott Harrison Margulies,° Emily Gwendolyn Farrow,' Michael Artman,?“ Nicole Pauline Safina,'“ Joshua Erin Petrikin,2> Kevin Peter Hall,° Stephen Francis Kingsmore’?>*5* Monogenic diseases are frequent causes of neonatal morbidity and mortality, and disease presentations are often undifferentiated at birth. More than 3500 monogenic diseases have been characterized, but clinical testing is avail- able for only some of them and many feature clinical and genetic heterogeneity. Hence, an immense unmet need exists for improved molecular diagnosis in infants. Because disease progression is extremely rapid, albeit hetero- geneous, in newborns, molecular diagnoses must occur quickly to be relevant for clinical decision-making. We de- scribe 50-hour differential diagnosis of genetic disorders by whole-genome sequencing (WGS) that features automated bioinformatic analysis and is intended to be a prototype for use in neonatal intensive care units. Ret- rospective 50-hour WGS identified known molecular diagnoses in two children. Prospective WGS disclosed potential molecular diagnosis of a severe G/JB2-related skin disease in one neonate; BRAT1-related lethal neonatal rigidity and multifocal seizure syndrome in another infant; identified BCL9L as a novel, recessive visceral heterotaxy gene (HTX6) in a pedigree; and ruled out known candidate genes in one infant. Sequencing of parents or affected siblings expedited the identification of disease genes in prospective cases. Thus, rapid WGS can potentially broaden and foreshorten differ- ential diagnosis, resulting in fewer empirical treatments and faster progression to genetic and prognostic counseling. INTRODUCTION Genomic medicine is a new, structured approach to disease diagnosis and management that prominently features genome sequence infor- mation (1). Whole-genome sequencing (WGS) by next-generation sequencing (NGS) technologies has the potential for simultaneous, comprehensive, differential diagnostic testing of likely monogenic ill- nesses, which accelerates molecular diagnoses and minimizes the du- ration of empirical treatment and time to genetic counseling (2-7). Indeed, in some cases, WGS or exome sequencing provides molecular diagnoses that could not have been ascertained by conventional single- gene sequencing approaches because of pleiotropic clinical presenta- tion or the lack of an appropriate molecular test (7-9). Neonatal intensive care units (NICUs) are especially suitable for early adoption of diagnostic WGS because many of the 3528 mono- genic diseases of known cause are present during the first 28 days of life (10). In the United States, more than 20% of infant deaths are caused by congenital malformations, deformations, and chromosomal abnormalities that cause genetic diseases (11-13). Although this pro- portion has remained unchanged for the past 20 years, the precise prevalence of monogenic diseases in NICUs is poorly understood be- cause ascertainment rates are low. Serial gene sequencing is too slow to be clinically useful for NICU diagnosis. Newborn screens, while "Department of Pathology, Children's Mercy Hospital, Kansas City, MO 64108, USA “Sc of Medicine, University of Missouri-Kansas City, Kansas City, MO 64108, USA. “Unive Kansas Medical Center, Kansas City, KS 66160, USA “Illumina Inc, Chesterford Research Park, Little Chesterford, CB10 1XL Essex, UK “These authors contributed equally to this work. tTo whom correspondence should be addressed. E-mail: sfkingsmore@cmh.edu rapid, identify only a few genetic disorders for which inexpensive tests and cost-effective treatments exist (14, 15). Further complicating diag- nosis is the fact that the full clinical phenotype may not be manifest in newborn infants (neonates), and genetic heterogeneity can be im- mense. Thus, acutely ill neonates with genetic diseases are often dis- charged or deceased before a diagnosis is made. As a result, NICU treatment of genetic diseases is usually empirical, may lack efficacy, may be inappropriate, or may cause adverse effects. NICUs are also suitable for early adoption of genomic medicine because extraordinary interventional efforts are customary and inno- vation is encouraged. Indeed, NICU treatment is among the most cost-effective of high-cost health care, and the long-term outcomes of most NICU subpopulations are excellent (16-18). In genetic diseases for which treatments exist, rapid diagnosis is critical for timely delivery of interventions that lessen morbidity and mortality (14-17, 19, 20). For neonatal genetic diseases without effective therapeutic interven- tions, of which there are many (21), timely diagnosis avoids futile inten- sive care and is critical for research to develop management guidelines that optimize outcomes (22). In addition to influencing treatment, neo- natal diagnosis of genetic disorders and genetic counseling can spare parents diagnostic odysseys that instill inappropriate hope or perpetuate needless guilt. Two recent studies exemplify the diagnostic and therapeutic uses of NGS in the context of childhood genetic diseases. WGS of fraternal twins concordant for 3,4-dihydroxyphenylalanine (dopa)-responsive dystonia revealed known mutations in the sepiapterin reductase (SPR) gene (3). In contrast to other forms of dystonia, treatment with 5-hydroxytryptamine and serotonin reuptake inhibitors is beneficial in patients with SPR defects. Application of this therapy in appropriate cases resulted in clinical improvement. Likewise, extensive testing www.ScienceTranslationalMedicineorg 3 October 2012 Vol 4 Issue 154 154ra135 1 EFTA00315101 Downloaded from stm.sciencemag.org on February 10, 2014

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RESEARCH ARTICLE failed to provide a molecular diagnosis for a child with fulminant pan- colitis (extensive inflammation of the colon) (8), in whom standard treatments for presumed Crohn's disease—an inflammatory bowel disease—were ineffective. NGS of the patient’s exome, together with confirmatory studies, revealed X-linked inhibitor of apoptosis (XIAP) deficiency. The treating physicians had not entertained this diagnosis because XIAP mutations had not previously been associated with co- litis. Hemopoietic progenitor cell transplant was performed, as indi- cated for XIAP deficiency, with complete resolution of colitis. Last, for ~3700 genetic illnesses for which a molecular basis has not yet been established (10), WGS can suggest candidate genes for functional and inheritance-based confirmatory research (23). The current cost of research-grade WGS is $7666 (24)—which is similar to the current cost of commercial diagnostic dideoxy sequencing of two or three disease genes. Within the context of the average cost per day and per stay in a NICU in the United States (13), WGS in care- fully selected cases is acceptable and even potentially cost-saving (3-7). However, the turnaround time for interpreted WGS results, such as that of dideoxy sequencing, is too slow to be of practical use for NICU diagnoses or clinical guidance (typically ~4 to 6 weeks) (2-4). Here, we report a system that permits WGS and bioinformatic analysis (largely automated) of suspected genetic disorders within 50 hours, a time frame that appears to be promising for emergency use in level 3 NICUs. RESULTS Symptom. and sign-assisted genome analysis (SSAGA) is a new clin- icopathological correlation tool that maps the clinical features of 591 well-established, recessive genetic diseases with pediatric presentations (table $1) to corresponding phenotypes and genes known to cause the symptoms (2, 10). SSAGA was developed for comprehensive auto- mated performance of the following two tasks: (i) WGS analyses re- stricted to a superset of gene-associated regions relevant to clinical presentations, in accord with published guidelines for genetic testing in children (25-28), and (ii) prioritization of clinical information to assist in the interpretation of WGS results. SSAGA has a menu of 227 clinical terms arranged in nine symptom categories (fig. $1). Stan- dardized clinical terms (29) have been mapped to 591 genetic diseases on the basis of authoritative databases (10, 30) and expert physician reviews. Each disease gene is represented by an average of 8 terms and at most 11 terms (minimum, | term, 15 disease genes; maximum, 11 terms, 3 disease genes). To validate the feasibility of automated matching of clinical terms to diseases and genes, we entered retrospectively the presenting fea- tures of 533 children who have received a molecular diagnosis at our institution [Children’s Mercy Hospital (CMH), Kansas City, MO] within the last 10 years into SSAGA. Sensitivity was 99.3% (529), as determined by correct disease and affected gene nominations. Failures included a patient with glucose-6-phosphate dehydrogenase deficiency who presented with muscle weakness [which is not a feature men- tioned in authoritative databases (10, 30)]; a patient with Janus kinase 3 mutations who had the term “respiratory infection” in his medical records rather than “increased susceptibility of infections,” which is the description in authoritative databases; and a patient with cystic fibrosis who had the term “recurrent infections” in his medical records rather than “respiratory infections,” which is the description in au- thoritative databases. SSAGA nominated an average of 194 genes per patient (maximum, 430; minimum, 5). Thus, SSAGA displayed sufficient sensitivity for the initial selection of known, recessive candi- date genes in children with specific clinical presentations. Rapid WGS To assess our ability to recapitulate known results, we performed rapid WGS retrospectively on DNA samples from two infants with molec- ular diagnoses that had previously been identified by clinical testing. ‘Then, to assess the potential diagnostic use of rapid WGS, we prospec- tively performed WGS in five undiagnosed newborns with clinical presentations that strongly suggested a genetic disorder as well as their Automation of the five main components of WGS as well as bioinformatics-based gene-variant characterization and clinical inter- pretation, all in an integrated workflow, made possible ~50-hour time to differential molecular diagnosis of genetic disorders (Fig. 1). Specifically, sample preparation for WGS was shortened from 16 to 45 hours, while a physician simultaneously entered into SSAGA clin- ical terms that described the neonates’ illnesses (fig. $1). For each sample, rapid WGS [2 x 100 base pair (bp) reads, including on-board cluster generation and paired-end sequencing] was performed in a single run on the Illumina HiSeq 2500 and took ~26 hours. Base calling, genomic sequence alignment, and gene variant calling took ~15 hours. The HiSeq 2500 runs yielded 121 to 139 gigabases (GB) of aligned sequences (34- to 41-fold aligned genome coverage; Table 1). Eighty-eight to 91% of bases had >99.9% likelihood of being correct (quality score >30, using Illumina software equivalent to Phred) (31, 32). We detected 4.00 + 0.20 million nucleotides that differed from the reference genome se- quence (variants) (mean + SD) in nine samples, one from each of nine infants (Table 1). Analytical metrics In three samples, genome variants identified by 50-hour WGS were compared with those identified by deep targeted sequencing of either exons and 20 intron-exon boundary nucleotides of a panel of 525 re- cessive disease genes [Children’s Mercy Hospital Diagnostic panel 1 (CMH-Dx1)] or the exome (‘Table 2). CMH-Dx1 comprised 8813 exonic and intronic targets, totaling 2.1 million nucleotides (table $1) (2, 33). The exome and CMH-Dx1 methods, which used [lumina TruSeq enrichment and HiSeq 2000 sequencing, took ~19 days. In contrast, rapid WGS did not use target enrichment, was performed with the HiSeq 2500 instrument, and took ~50 hours. Samples CMH064, UDT002, and UDT173 were sequenced using these three methods, and variants were detected with a single alignment method [the Genomic Short-read Nucleotide Alignment Program (GSNAP)] (34) and variant caller [the Genome Analysis Tool Kit (GATK)] (35). Rapid WGS detected ~96% of the variants identified by a target en- richment method and ~99.5% of the variants identified by both methods had identical genotypes (Table 2), indicating that rapid WGS is highly concordant with established clinical sequencing methods (33). In contrast, analysis of the rapid WGS data set from sample CMH064 with three different alignment and variant detection methods [GSNAP/GATK, the Illumina CASAVA alignment tool, and the Burrows-Wheeler Alignment (BWA) tool] revealed surprising dif- ferences between the variants detected. Only ~80% of the variants de- tected using GATK/GSNAP or BWA were also detected with CASAVA (Table 2 and table $2) (36-41). This suggests that additional studies will be needed to define optimal alignment methods for clinical sequencing. www.ScienceTranslationalMedicineorg 3 October 2012 Vol 4 Issue 154 1541ra135 2 EFTA00315102 Downloaded from stm.sciencemag.org on February 10, 2014

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RESEARCH ARTICLE Obtain consent and blood sample Prepare sequencing library Enter clinical findings into SSAGA HiSeq 2500 2 x 100 bp sequencing CASAVA base calling RUNES variant annotation SSAGA-delimited variant analysis and interpretation Verbal interim report of diagnosis pending CLIA confirmation Fig. 1. STAT-Seq. Summary of the steps and timing of STAT-Seq, result ing in an interval of 50 hours between consent and delivery of a pre liminary, verbal diagnosis. t, hours. www. ScienceTranslationalMedicine.org Nevertheless, there was good concordance between the genotypes of variants detected by rapid WGS (using the HiSeq 2500 and CASAVA) and targeted sequencing (using exome enrichment, the HiSeq 2000, and GATK/GSNAP)—99.5% (UDT002), 99.9% (UDT173), and 99.7% (CMH064) (Table 2)—further indicating that rapid WGS is highly con- cordant with an established genotyping method (33). In subsequent studies, the rapid WGS technique used CASAVA for alignment and variant detection. Genomic variants were characterized with respect to functional consequence and zygosity with a new software pipeline [Rapid Understanding of Nucleotide variant Effect Software (RUNES), fig. $2] that analyzed each sample in 2.5 hours. Samples contained a mean of 4.00 + 0.20 million (SD) genomic variants, of which a mean of 1.87 + 0.09 million (SD) were associated with protein-encoding genes (Table 1). Less than 1% of these variants (mean, 10,848 + 523 SD) were also of a functional class that could potentially be disease causative (Table 1) (25-27). Of these, ~14% (mean, 1530 + 518 SD) had an allele frequen- cy that was sufficiently low to be a candidate for being causative in an uncommon disease (<1% allele frequency in 836 individuals sequenced at CMH) (42). Last, of these, ~71% (mean, 1083 + 240 SD) were also of a functional class that was likely to be disease causative [American College of Medical Genetics (ACMG) categories 1 to 3] (Table 1). This set of variants was evaluated for disease causality in each patient, with priority given to variants within the candidate genes that had been nominated by an individual patient presentation. Retrospective analyses Patient UDT002 was a male who presented at 13 months of age with hypotonia, developmental regression. Brain magnetic resonance imag- ing (MRI) showed diffuse white matter changes suggesting leukodys- trophy. Three hundred fifty-two disease genes were nominated by one of the three clinical terms hypotonia, developmental regression, or leukodystrophy; 150 disease genes were nominated by two terms; and 9 disease genes were nominated by all three terms (table $3). Only 16 known pathogenic variants had allele frequencies in dbSNP and the CMH cumulative database that were consistent with uncommon dis- ease mutations. Of these, only two variants mapped to the nine can- didate genes; the variants were both compound heterozygous (verified by parental testing) substitution mutations in the gene that encodes the a subunit of the lysosomal enzyme hexosaminidase A [HEXA Chr 15:72,641,417T>C (gene symbol, chromosome number, chromosome coordinate, reference nucleotide > variant nucleotide), c.986+3A>G (transcript coordinate, reference nucleotide, variant nucleotide), and Chr15:72,640,388C>T, c.1073+1G>A]. The c.986+3A>G alters a 5’ exon-flanking nucleotide and is a known mutation that causes Tay-Sachs disease (TSD), a debilitating lysosomal storage disorder [Online Mendelian Inheritance in Man (OMIM) number 272800]. The variant had not previously been observed in our database of 651 individuals or dbSNP, which is relevant because mutation databases are contaminated with some common polymorphisms, and these can be distinguished from true mutations on the basis of allele frequency (33). The c.1073+1G>A variant is a known ‘TSD mutation that affects an exonic splice donor site (dbSNP 77). The variant has been observed only once before in our database of 414 samples, which is consistent with an allele frequen- cy of a ca mutation in an orphan genetic disease. Thus, the known diagnosis of ‘SD was confirmed in patient UDT002 by rapid WGS. Patient UDT173 was a male who presented at 5 months of age with developmental regression, hypotonia, and seizures. Brain MRI showed 3 October 2012 Vol 4 Issue 154 154ra135 3 EFTA00315103 Downloaded from stm.sciencemag.org on February 10, 2014

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RESEARCH ARTICLE dysmyelination, hair shaft analysis revealed pili torti (kinky hair), and serum copper and ceruloplasmin were low. On the basis of this clinical presentation, 276 disease genes matched one of these clinical terms and 3 matched three terms (table $4). There were no previously reported disease-causing variants in these 276 genes. However, five of the candi- date genes contained either variants of a type that is expected to be disease-causing based on their predicted functional consequence or missense variants of unknown significance (VUS). One of these var- iants was in a gene that matched all three clinical terms and was a hemizygous substitution mutation in the gene that encodes the a poly- peptide of copper-transporting adenosine triphosphatase (ATP7A Chr X:77,271,307C>T, ¢.2555C>T, [), aberrant forms of which are known to cause Menkes disease, a copper-transport disorder. This variant—new to our database and dbSNP—specified a nonconserva- tive substitution in an amino acid that was highly conserved across species and had deleterious SIFT (Sorts Intolerant From Tolerant sub- stitutions), PolyPhen2 (Polymorphism Phenotyping), and BLOSUM (BLOcks SUbstitution Matrix) scores. The known diagnosis of Menkes disease (OMIM number 309400) was recapitulated. As a further assess- ment of the reliability of variant detection of rapid WGS, samples UDT002 and UDT173 were aligned to the reference genome with three different alignment methods. The causative variants were recovered with each method. Prospective analyses Mutations in 35 genes can cause generalized, erosive dermatitis of the type found in CMHO064 (table $5). The severe phenotype, negative family history, and absence of consanguinity suggested dominant de novo or recessive inheritance. No known pathogenic mutations were identified in the candidate genes that had low allele frequencies in the CMH cumulative genome and exome sequence database and similar public databases. Average coverage of the genomic regions corresponding to the candidate genes was 38.9-fold, and 98.4% of candidate gene nucleotides had >16x high-quality coverage (sufficient to rule out a Table 1. Sequencing, alignment, and variant statistics of nine samples analyzed by rapid WGS. ACMG category 1 to 4 variants are a subset of gene- associated variants. ACMG ACMG Sample fun Sequence oom ai cnorne senoene we ed categories ara oe Candidate onne Candidate (hours) (GB) reads variants variants variants 1to4 allele allele genes category gene VUS (%) variants frequency frequency 1 variants <1% <1% UDTOO2 25.5 133 91 33 4,014,761 1,888,650 10,733 1,989 1,330 352 (9) 2 Oy) UDTI73 255 139 89 40 3,977,062 1,859,095 10,501 2,190 1,296 347 (3) 0 1 CMH064 26.6 121 88 41 3,985,929 1,869,515 10,701 1,884 1,348 35 0 2 CMHO76 25.7 134 88 34 4,498,146 2,098,886 11,891 2,552 1351 89 0 1 CMH172 265 113 91 39 3,759,165 1,749,868 10,135 1456 982 174 0 1 CMH184 26.5 137 90 37 3,921,135 1,840,738 10,883 1,168 833 12 0 o CMH185 40 WW 93 37 3,922,736 1,831,997 10,810 1,164 840 14 oO 0 CMH186 25.5 113 93 37 3,933,062 1,827,499 10,713 1,202 868 14 CMH202 40 116 93 39 3,947,053 1,849,647 10,805 1,283 901 Table 2. Variants and genotypes. Comparisons of variants and genotypes obtained in three samples using three target enrichment methods, two se- quencing methods, and two alignment methods. The 50-hour WGS (STAT-Seq) was not enriched and used HiSeq 2500 sequencing. CMH-Dx1 was enriched for 523 genes and HiSeq 2000 sequencing. Average coverage of target nucleo- tides indicates the average aligned sequence depth over the corresponding target panel. For WGS, the target is the genome; for exome sequencing, the target is the exome; and for CMH-Dx1, the targets are 523 genes. Average coverage of Variants detected Genotypes identical to both methods (%) Sample Target Sequencing Alignment Sequence enrichment method method (GB) CMH064 Exome HiSeq 2000 GATK/GSNAP 98 None (WGS) HiSeq 2500 121 UDT173. -CMH-Dx1 HiSeq 2000 GATK/GSNAP 41 None (WGS) HiSeq 2500 139 UDT173. =CMH-Dx1 HiSeq 2000 GATK/GSNAP 41 None (WGS) HiSeq 2500 CASAVA 139 UDTOO2 CMH-Dx1 HiSeq 2000 GATK/GSNAP 42 None (WGS) HiSeq 2500 CASAVA 133 target nucleotides by rapid WGS 79 46,756 (96.0%) 994 40 784 1539 (96.7%) 99.60 46 784 1457 (83.0%) 99.9 46 770 1341 (76.6%) 995 44 www.ScienceTranslationalMedicineorg 3 October 2012 Vol 4 Issue 154 1541ra135 4 EFTA00315104 Downloaded from stm.sciencemag.org on February 10, 2014

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RESEARCH ARTICLE heterozygous variant; table $6). Five candidate genes had 100% nu- cleotides with >16-fold high-quality coverage and, thus, lacked a known pathogenic mutation in an exon or within 20 nucleotides of the intron- exon boundaries. Eighteen of the candidate genes had >99% nucleotides with >16-fold high-quality coverage, and 31 had >95% nucleotides with at least this level of coverage. Furthermore, while 26 of the candidate genes had pseudogenes, paralogs, and/or repeat segments (table $6) that could potentially result in misalignment and variant miscalls, only 0.03% of target nucleotides had poor alignment quality scores. Among the 35 candidate genes nominated by the phenotype, two rare heterozygous VUS were detected in CMH064; however, dideoxy sequencing of both healthy parents excluded one, in the keratin 14 gene, as a de novo mutation. The exomes of both parents were sub- sequently sequenced, and variants were examined in the trio at length. Three likely de novo mutations with excellent sequence coverage were identified in disease-causing genes. Of these, one was a candidate gene for CMHO064. It was an in-frame deletion of three nucleotides in GJB2, (NM_004004), which encodes the connexin 26 protein. The variant, ¢.85_87del, SE. removes a highly conserved amino acid within the first transmembrane helix (43). Dideoxy sequencing confirmed it to be a de novo mutation. Dominant, de novo GJB2 mutations have been associated with severe neonatal lethal disorders of the skin, such as keratitis-ichthyosis-deafness syndrome (KIDS), that involve the suprabasilar layers of the epidermis (OMIM number 148210) (44). The phenotype of CMH064 was atypical for KIDS, and functional studies are in progress to determine causality definitively. Diagnoses suggested by the presentation in CMH076 were mito- chondrial disorders, organic acidemia, or pyruvate carboxylase defi- ciency. Together, 75 nuclear genes and the mitochondrial genome cause these diseases (table $7). A negative family history suggested re- cessive inheritance that resulted from compound heterozygous or hemi- zygous variants or a heterozygous de novo dominant variant. Rapid WGS excluded known pathogenic mutations in the candidate genes. One novel heterozygous VUS was found. However, de novo occur- rence of this variant was ruled out by exome sequencing of his healthy parents. No homozygous or compound heterozygous VUS with suit- ably low allele frequencies were identified in the known disease genes. Potential novel candidates included 929 nuclear genes that encode mitochondrial proteins but have not yet been associated with a genetic disease (45). Only one of these had a homozygous or compound het- erozygous VUS with an allele frequency in dbSNP and the CMH database that was sufficiently low to be a candidate for causality in an uncommon inherited disease. Deep exome sequencing of both parents excluded this variant and did not disclose any further poten- tially causal variants. A total of 174 genes are known to cause epilepsy of the type found in CMH172 (table $8). A positive family history of neonatal epilepsy and evidence of shared parental ancestry strongly suggested recessive inheri- tance. No known disease-causing variants or homozygous/compound heterozygous VUS with low allele frequencies were identified in these genes, which largely excluded them as causative in this patient. A genome- wide search of homozygous, likely pathogenic VUS that were novel in the CMH database and dbSNP disclosed a frame-shifting insertion in the BRCAI-associated protein required for ATM activation-1 (BRATI, Chr 7:2,583,573-2,583,574insATCTTCTC,c.453_454insATCTTCTC, . A literature search yielded a very recent study of BRAT! mutations in two infants with lethal, multifocal seizures, hyper- tonia, microcephaly, apnea, and bradycardia (OMIM number 614498) (46). Dideoxy sequencing confirmed the variant to be homozygous in CMH172 and heterozygous in both parents. Rapid WGS was performed simultaneously on proband CMH184 (male), affected sibling (brother) CMH185, and their healthy parents, CMH186 and CMH202. Twelve genes have been associated with the clinical features of the brothers (heterotaxy and congenital heart dis- ease; table $9), Co-occurrence in two siblings strongly suggested reces- sive inheritance. No known disease-causing variants or homozygous/ compound heterozygous VUS with low allele frequencies were identi- fied in these genes. A genome-wide search of novel, homozygous/ compound heterozygous, likely pathogenic VUS that were common to the affected brothers and heterozygous in their parents yielded two nonsynonymous variants in the B cell CLL/lymphoma 9-like gene (BCL9L, Chr 11:118,772,350G>A,c.2102G>A, — and Chr 11:118,774,140G>A, ¢.554C>T, . Evidence supporting the candidacy of BCL9L for heterotaxy and congenital heart disease is presented below. DISCUSSION Genomic medicine, empowered by WGS, has been heralded as trans- formational for medical practice (2, 4, 5, 47). Over the last several years, the cost of WGS has fallen markedly, potentially bringing it within the realm of cost-effectiveness for high-intensity medical prac- tice, such as occurs in NICUs (3, 8, 23, 24). Furthermore, experience has been gained with clinical use of WGS that has instructed initial guidelines for its use in molecular diagnosis of genetic disorders (9). However, a major impediment to the implementation of practical ge- nomic medicine has been time to result. This limitation has always been a problem for diagnosis of genetic diseases: Time to result and cost have greatly constrained the use of serial analysis of single-gene targets by dideoxy sequencing. Hitherto, clinical use of WGS by NGS has also taken at least a month: Sample preparation has taken at least a day; clustering 5 hours; 2 x 100 nu- cleotide sequencing 11 days; alignment, variant calling, and genotyping 1 day; variant characterization a week; and clinical interpretation at least a week. Although exome sequencing lengthens sample preparation by several days, it decreases computation time somewhat and is less costly. For use in acute care, the turnaround time of molecular diagnosis, including analysis, must match that of medical decision-making, which ranges from 1 to 3 days for most acute medical care. Herein, we de- scribed proof of concept for 2-day genome analysis of acutely ill neo- nates with suspected genetic disorders. Automating medicine Rapid WGS was made possible by two innovations. First, a widely used WGS platform has been modified to generate up to 140 GB of sequence in less than 30 hours (HiSeq 2500): Sample preparation took 45 hours, and 2 x 100 bp genome sequencing took 25.5 hours (Fig. 1). The total “hands-on” time for technical staff was 5 hours. Modifica- tions included a new flowcell design and faster imaging and chemistry. Previously, NGS has either lacked sufficient sequence quantity, quality, or read lengths for clinical use of WGS or been too slow for use in acute patient care. Rapid WGS generated ~40-fold aligned genome coverage. ‘The sequence quality was very similar to that obtained with its predeces- sor (HiSeq 2000), as determined by quality scores and alignment rates (48). 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RESEARCH ARTICLE those of very deeply sequenced, partial exomes (33). The accuracy of the latter has been extensively benchmarked and is >99.9% (33). Second, we automated much of the onerous characterization of ge- nome variation and facilitated interpretation by restricting and prior- itizing variants with respect to allele frequency (42), likelihood of a functional consequence (25), and relevance to the prompting illness. Thus, rapid WGS, as described herein, was designed for prompt dis- ease diagnosis rather than carrier testing or newborn screening. SAGA mapped the clinical features in ill neonates and children to disease genes. Thereby, analysis was limited only to the parts of the genome relevant to an individual patient's presentation, in accord with guide- lines for genetic testing in children (25-28). This greatly decreased the number of variants to be interpreted. In particular, SSAGA caused most incidental (secondary) findings to be masked. In the setting of acute care in the NICU, secondary findings are anticipated to impede facile interpretation, reporting, and communication with physicians and patients greatly (9, 49, 50). SSAGA also assisted in test ordering, permitting a broad selection of genes to be nominated for testing based on entry of the patients’ clinical features with easy-to-use pull-down menus. The version used herein contains ~600 recessive and mitochon- drial diseases and has a diagnostic sensitivity of 99.3% for those dis- orders. SSAGA is likely to be particularly useful in disorders that feature clinical or genetic heterogeneity or early manifestation of partial phenotypes because it maps features to a superset of genetic disorders. SSAGA needs to be expanded to encompass dominant disorders and to the full complement of genetic diseases that meet ACMG guidelines for testing rare disorders (such as having been reported in at least two unrelated families) (26). Although neonatal disease presentations are often incomplete, only one feature is needed to match a disease gene to a presentation. In cases for which SSAGA-delimited genome analysis was negative, such as CMH064 and CMH076, a comprehensive second- ary analysis was performed with limitation of variants solely to those with acceptable allele frequencies (42) and likelihood of a functional consequence (25). Nevertheless, secondary analysis was relatively facile, yielding about 1000 variants per sample. RUNES performed many laborious steps involved in variant char- acterization, annotation, and conversion to HGVS (Human Genome Variation Society) nomenclature in ~2 hours. RUNES unified these in an automated report that contained nearly all of the information de- sirable for variant interpretation, together with a cumulative variant allele frequency and a composite ACMG categorization of variant pathogenicity (fig. $2). ACMG categorization is a particularly useful standard for prioritization of the likelihood of variants being causal (26). In particular, more than 75% of coding variants were of ACMG category 4 (very unlikely to be pathogenic). Removal of such variants allowed rapid interpretation of high-likelihood pathogenic variants in relevant genes. The hands-on time for starting pipeline components and interpretation of known disease genes was, on average, less than 1 hour. Because genomic knowledge is currently limited to 1 to 2% of physicians (physician scientists, medical geneticists, and molecular pathologists), variant characterization, interpretation, and clinical guid- ance tools are greatly needed, as is training of medical geneticists and genetic counselors in their use. Return of results In blinded, retrospective analyses of two patients, rapid WGS correctly recapitulated known diagnoses. In child UDT002, two heterozygous, known mutations were identified in a gene that matched all clinical features. In male UDT173, a hemizygous (X-linked) VUS was identi- fied in the single candidate gene matching all clinical features. The variant, a nonsynonymous nucleotide substitution, was predicted to be damaging. Rapid WGS also provided a definitive diagnosis in one of four infants enrolled prospectively. In CMH172, with refractory epilepsy, rapid WGS disclosed a novel, homozygous frame-shifting insertion in a single candidate gene (BRAT). BRAT] mutations were very recently reported in two unrelated Amish infants who suffered lethal, multifocal seizures (46). A molecular diagnosis was reached within 1 hour of WGS data inspection in CMH172, even though ex- tant reference databases [Human Gene Mutation Database (HGMD) and OMIM] had not yet been updated with a BRAT] disease associ- ation. The diagnosis was made clinically reportable by resequencing the patient and her parents. Had this diagnosis been obtained in real time, it may have expedited the decision to reduce or withdraw support. The latter decision was made in the absence of a molecular diagnosis after 5 weeks of ventilatory support, testing, and unsuc- cessful interventions to control seizures. Given high rates of NICU bed occupancy, accelerated diagnosis by rapid WGS has the potential to reduce the number of neonates who are turned away. The molec- ular diagnosis was also useful for genetic counseling of the infant's parents to share the information with other family members at risk for carrying of this mutation. As suggested by recent guidelines (9), this case demonstrates the use of WGS for diagnostic testing when a genetic test for a specific gene of interest is not available. In four of five affected individuals, prospective, rapid WGS provided a definitive or likely molecular diagnosis in ~50 hours. These cases dem- onstrated the use of WGS for diagnostic testing when a high degree of genetic heterogeneity exists, as suggested by recent guidelines (9). Con- firmatory resequencing, which is necessary for return of results until rapid WGS is compliant with Clinical Laboratory Improvement Amendments (CLIA), took at least an additional 4 days. Until compliance has been established, we suggest preliminary verbal disclosure of molecular diagnoses to the neonatologist of record, followed by formal reporting upon performance of CLIA-conforming resequencing. Staged return of results of broad or complex screening tests, together with considered, ex- pert interpretation and targeted quantification and confirmation, is likely to be acceptable in intensive care. Precedents for rapid return of interim, potentially actionable results include preliminary reporting of histo- pathology, radiographic, and imaging studies and interim antibiotic selec- tion based on Gram stains pending culture and sensitivity results. Disease gene sleuthing Because at least 3700 monogenic disease genes remain to be identified (10), WGS will often rule out known molecular diagnoses and suggest novel candidate disease genes (23, 51). Indeed, in another prospectively enrolled family, WGS resulted in the identification of a novel candidate disease gene, providing a likely molecular diagnosis. The proband was the second affected child of healthy parents. Accurate genetic counseling regarding risk of recurrence had not been possible because the first affected child lacked a molecular diagnosis. We undertook rapid WGS of the quartet simultaneously, allowing us to further limit incidental variants by requiring recessive inheritance. Rapid WGS ruled out 14 genes known to be associated with visceral heterotaxy and con- genital heart disease (HTX). Among genes that had not been associated with HTX, rapid WGS of the quartet narrowed the likely pathogenic variants to two in the BCL9L gene. BCL9L had not previously been as- sociated with a human phenotype but is an excellent candidate gene for www.ScienceTranslationalMedicineorg 3 October 2012 Vol 4 Issue 154 1541ra135 6 EFTA00315106 Downloaded from stm.sciencemag.org on February 10, 2014

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RESEARCH ARTICLE HTX based on its role in the Wingless (Wnt) signaling pathway, which controls numerous developmental processes, including early embryonic patterning, epithelial-mesenchymal interactions, and stem cell mainte- nance (5], 52). Recently, the Wnt pathway was implicated in the left-right asymmetric development of vertebrate embryos, with a role in the regulation of ciliated organ formation and function (53-57). The key effector of Wnt signaling is B-catenin, which functions either to promote cell ad- hesion by linking cadherin to the actin cytoskeleton via a-catenin or to bind transcriptional coactivators in the nucleus to activate the ex- pression of specific genes (58-60). The protein that controls the switch between these two processes is encoded by BCL9L (also known as BCL9-2) and serves as a docking protein to link 6-catenin with other transcription coactivators. BCL9L and at-catenin share competitive overlapping binding sites on f-catenin; phosphorylation of B-catenin determines which pathway is activated. The mutation found in our patients lies within the BCL9L nuclear localization signal, which is essential for f-catenin to perform transcriptional regulatory functions in the nucleus (61). BCLOL is one of two human homologs of Drosophila legless (Igs), a segment polarity gene required for Wnt signaling during develop- ment. [gs-deficient flies die as pharate adults with Wnt-related defects, including absent legs, and antennae and occasional wing defects (62). Fly embryos lacking the maternal [gs contribution display a lethal seg- ment polarity defect. BCL9L-deficient zebrafish exhibit patterning de- fects of the ventrolateral mesoderm, including severe defects of trunk and tail development (60). Furthermore, inhibition of zebrafish $-catenin results in defective organ laterality (54). Overexpression of constitutively active -catenin in medaka fish causes cardiac laterality defects (63). -Catenin-deficient mice have defective development of heart, intes- tine, liver, pancreas, and stomach, including inverted cell types in the esophagus and posteriorization of the gut (64). Down-regulation of Wnt signaling in mouse and zebrafish causes randomized organ lat- erality and randomized side-specific gene expression. These likely re- flect aberrant Wnt activity on midline formation and function of Kupffer’s vesicle, a ciliated organ of asymmetry in the zebrafish embryo that ini- tiates left-right development of the brain, heart, and gut (56, 65). The second human homolog of igs, BCL9, has been implicated in complex congenital heart disease in humans, of the type found in our patients (66-68). BCL9 was originally identified in precursor B cell acute lym- phoblastic leukemia with a t(1:14)(q21;q32) translocation (69), linking the Wnt pathway and certain B cell leukemias or lymphomas (62). Finally, it was recently demonstrated that the Wnt/-catenin signaling pathway regulates the ciliogenic transcription factor foxjla expression in zebrafish (57). Decreased Wnt signal leads to disruption of left-right patterning, shorter/fewer cilia, loss of ciliary motility, and decreased foxjla expression. Foxjla is a member of the forkhead gene family and regulates transcriptional control of production of motile cilia (70). On the basis of this collected evidence, the symbol HTX6 has been reserved for BCL9L-associated autosomal recessive visceral heterotaxy. Additional studies are in progress to show causality definitively. These findings support clinical WGS as being valuable for research in reverse- translation studies (bedside to bench) that reveal new genetically ame- nable disease models. Addressing limitations In one remaining prospective patient, rapid WGS failed to yield a potential or definitive molecular diagnosis. Currently, WGS cannot survey every nucleotide in the genome (71). At 50x aligned coverage of the genome, WGS genotyped at least 95% of the reference genome with greater than 99.95% accuracy, using methods very similar to those used in this study (72). It has been suggested that this level of completeness is applicable for analyzing personal genomes in a clinical setting (72). In particular, GC-rich first exons of genes tend to be underrepresented (33). More complete clinical use of WGS will require higher sequencing depth, multi- platform sequencing and/or alignment methodologies, complementation by exome sequencing, or all three (73). Combined alignments with two methods of sequencing identified ~9% more nucleotide variants than one alone. However, these additions raise the cost of WGS, increase the time to clinical interpretation, and shift the cost-benefit balance. For genetic disease diagnosis, the genomic regions that harbor known or likely disease mutations—the Mendelianome (2, 33)—must be genotyped accurately. In addition to exons and exon-intron bound- aries, the Mendelianome includes some regions in the vicinity of genes that have structural variations or rearrangements. NGS of genome re- gions that contain pseudogenes, paralogs (genes related by genomic duplication), or repetitive motifs can be problematic. CMH064 had fulminant EB. Most EB-associated genes encode large cytoskeletal pro- teins with regions of constrained amino acid usage, which equate with low nucleotide complexity. In addition, several EB-associated genes have closely related paralogs or pseudogenes. These features impede unambiguous alignment of short reads, which can complicate attribu- tion of variants by NGS. This limitation can prevent definitive exclu- sion of candidate genes. For example, 4.5% of nucleotides in KRT'14, an EB-associated gene, had <16-fold high-quality coverage and, thus, may have failed to disclose a heterozygous variant. In CMH064, how- ever, this possibility was excluded by targeted sequencing of the re- gions of KRT14 known to contain mutations that cause EB. Furthermore, WGS is not yet effective for clinical-grade detection of all mutation types. Copy number variations and large deletions require clinical validation of research methods (33). Long, simple sequence-repeat expansions and complex rearrangements are prob- lematic. Nevertheless, with CLIA-type adherence to standard operation- al processes, the component of the Mendelianome for which WGS is effective is extremely reproducible (33). Thus, the specific diseases, genes, exons, and mutation classes that are qualified for analysis, interpretation, and clinical reporting with WGS can be precisely pre- dicted. This is of critical importance for reporting of differential diagnoses in the genetic disease arena. Thus, although insufficient alone, rapid WGS may still be a cost-effective initial screening tool for differential diagnosis of EB. In our study, all EB-associated genes had >95% nucleotides with high-quality coverage sufficient to exclude heterozygous and homozygous nucleotide variants (>16-fold); 19 of these genes had >99% nucleotides with this coverage. Hence, for rig- orous testing of all EB-associated genes and mutation types, additional studies remain necessary, such as immunohistochemistry, targeted se- quencing of uncallable nucleotides, and cytogenetic studies. Of 531 disease genes examined, 52 had pseudogenes, paralogs, repetitive mo- tifs, or mutation types that may complicate WGS for comprehensive mutation detection. The comprehensiveness of WGS will be enhanced by longer reads, improved alignment methods, and validated algo- rithms for detecting large or complex variants (2, 4). Finally, in singleton (sporadic) cases, such as CMH064, family his- tory is often unrevealing in distinguishing the pattern of inheritance. For example, inheritance of EB can be dominant or recessive. Of two plausible heterozygous VUS detected in candidate genes in CMH064, www.ScienceTranslationalMedicineorg 3 October 2012 Vol 4 Issue 154 154ra135 7 EFTA00315107 Downloaded from stm.sciencemag.org on February 10, 2014

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RESEARCH ARTICLE one was a de novo mutation in connexin 26, which is associated with KIDS, that can be fatal in neonates (43, 44). The phenotype of CMH064 was not typical for KIDS, and functional studies are in progress. For eval- uation of dominantly inherited diseases, WGS requires that the parents be concomitantly tested either by rapid WGS, by exome sequencing, or by resequencing of candidate de novo variants. Rapid WGS failed to yield a definitive molecular diagnosis for CMH076. No known mutations were found in 89 disease-associated nuclear genes or the mitochondrial genome. This was an important negative finding because a molecular diagnosis of several of these genes is “actionable.” That is, specific treatments are indicated (such as pyruvate carboxylase deficiency, thiamine responsive congenital ac- idosis, biotinidase deficiency, fructose 1,6-bisphosphatase deficiency, and coenzyme Q10 deficiency). Likewise, exclusion of actionable diagnoses can prevent empiric institution of inappropriate treatments. Exclusion of known genetic diseases from a differential diagnosis is also of psychosocial benefit to family members and assists in guiding physicians regarding additional testing. ‘There were no VUS with suitable inheritance patterns, in CMHO076 or in either of the healthy parents, in known disease genes or in the remaining 929 nuclear-encoded mitochon- drial genes (45). In contrast to the rapidly declining cost of WGS, the computation- al cost of genome analysis is largely governed by Moore's law (74). Sequence alignment, variant calling, and genotyping took 16 hours. Extremely rapid WGS is of practical use in clinical guidance only when married to equally rapid, cost-effective, deployable, and facile interpretation and analysis (2, 4). We are continuing to improve the speed of sequence base calling, alignment, and variant calling. It is likely that this interval can be halved and that HiSeq 2500-based rapid WGS can be performed in fewer than 36 hours by the end of 2012. Clinical validation of rapid WGS, however, will take some time. MATERIALS AND METHODS Consent This study was approved by the Institutional Review Board of CMH. Informed written consent was obtained from adult subjects and parents of living children. Case selection CMH is a nonprofit children’s hospital with 314 beds, including 64 level 4 NICU beds. It provides 48% of neonatal intensive care in the Kansas City metropolitan region. In 2011, the NICU had 86% bed occupancy. Retro- spective samples, UDT002 and UDT173, were selected from a validation set of 384 samples with known molecular diagnoses for one or more genetic diseases. Seven prospective samples were selected from families with probands that presented in infancy, among 143 individuals with- out molecular diagnoses who were enrolled between 22 November 2011 and 4 April 2012 for exome or genome sequencing. Clinicopathological correlation and interpretation ‘The features of the patients’ diseases were mapped to likely candidate genes. In part, this was performed manually by a board-certified pe- diatrician and medical geneticist. In part, it was performed automat- ically by entry of terms describing the patients’ presentations into a new clinicopathological correlation tool, SSAGA (2). It was designed to enable physicians to delimit WGS analyses to genes of causal relevance to individual clinical presentations, in accord with published guide- lines for genetic testing in children and with NGS (9, 25, 28). SSAGA has a menu of 227 clinical terms, which are arranged in nine categories (fig. $1). SNOMED CT (Systematized Nomenclature of Medicine— Clinical Terms) (29) map to 591 well-established recessive diseases with known causal genes (table $1). Phenotype-to-disease-to-gene mapping was informed by Gene Reviews (30), OMIM Clinical Synopsis (10), MitoCarta (45), and expert physician reviewers. Upon entry of the features of an individual patient, SSAGA nomi- nates the corresponding superset of relevant diseases and genes, rank ordered by number of matching terms (fig. $1). It also contains a free- form text box that allows physicians to enter findings for which no SNOMED term exists, clinical term qualifiers, relevant family history, and specific genes of interest. The diagnostic sensitivity of SSAGA im- proves with use, by manual updating of mappings in cases where nom- inations failed to include the causal gene. SSAGA is extensible to additional diseases, genes, and clinical terms. Interpretation of results was manual on the basis of ranking of variant reports yielded by RUNES Rg on SSAGA-prioritized candidate genes, supplemented with expert gene nominations (fig. $2). In some pedigrees, the presumed pattern(s) of — inheritance allowed additional variant ranking based on obligatory genotypes in affected and unaffected individuals. Aligned sequences containing variants of interest were inspected for veracity in pedigrees with the Integrative Genomics Viewer (32). Genome and exome sequencing Isolated genomic DNA was prepared for rapid WGS with a modifica- tion of the Illumina TruSeq sample preparation (Illumina). Briefly, 500 ng of DNA was sheared with a Covaris $2 Biodisruptor, end-repaired, A-tailed, and adaptor-ligated. Polymerase chain reaction (PCR) was omitted. Libraries were purified with SPRI beads (Beckman Coulter). Quantitation was carried out by real-time PCR. Libraries were dena- tured with 0.1 M NaOH and diluted to 2.8 pM in hybridization buffer. Samples for rapid WGS were each loaded onto two flowcells, followed by sequencing on Illumina HiSeq 2500 instruments that were set to rapid run mode. Cluster generation, followed by 2 x 100 cycle sequencing reads, separated by paired-end turnaround, were performed automatically on the instrument. Isolated genomic DNA was also prepared for lumina TruSeq exome or custom gene panel sequencing with standard [lumina TruSeq pro- tocols. Enrichment for the custom gene panel was performed twice by Illumina hybrid selection with 20,477 eighty-nucleotide probes for 8366 genomic regions, representing exons and 20 intron-exon boundary nucleotides. It encompassed 2,158,661 bp, 525 genes, and 591 reces- sive diseases (2, 33) (table $1). The probes were designed to target 350 nucleotide genomic targets, with an average density of 2.4 probes per target (range, 2 to 56). Custom gene panel-enriched samples were se- quenced on HiSeq 2000 instruments with TruSeq v3 reagents to a depth of >3 GB of singleton 100-bp reads in samples UDT173 and UDT002, respectively; 32.9 and 38.3% of base pairs were on target defined with a 0-bp extension, representing 469- and 501-fold enrich- ment in samples UDT173 and UDTO002, respectively. Exome-enriched samples were enriched twice with standard Illumina hybrid selection and were sequenced on HiSeq 2000 instruments with TruSeq v3 re- agents to a depth of >8 GB of singleton 100-bp reads per sample. Genome and exome sequencing were performed as research, not in a manner that complies with routine diagnostic tests as defined by the CLIA guidelines. Downloaded from stm.sciencemag.org on February 10, www.ScienceTranslationalMedicineorg 3 October 2012 Vol 4 Issue 154 1541ra135 8 EFTA00315108

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RESEARCH ARTICLE Sequence analysis CASAVA 1.8.2 (Illumina) performed gapped ELAND alignment of HiSeq 2500 sequences to the reference nuclear and mitochondrial ge- nome sequences [Hg]9 and GRCH37 (NC_012920.1), respectively] as well as variant identification. HiSeq 2000 sequences were aligned to the reference nuclear and mitochondrial genome sequences with GSNAP, and variants were identified and genotyped with the GATK (2, 34-36). Sequence analysis used base-call files, FASTQ files that contain sequences and base-call quality scores, the compressed binary version of the Se- quence Alignment/Map format (a representation of nucleotide sequence alignments), and Variant Call Format (a format for nucleotide variants). Nucleotide variants were annotated with RUNES (2), our variant char- acterization pipeline, which incorporated VEP (Variant Effect Predictor) (37), comparisons to NCBI dbSNP, known disease mutations from the HGMD (38), and additional in silico prediction of variant consequences with ENSEMBL and UCSC gene annotations (39, 40) (fig. $2). RUNES assigned each variant an ACMG pathogenicity category (25-27) and an allele frequency on the basis of 722 patients sequenced since October 2011. Rapid WGS in CMH064 and exome sequences of his parents were also analyzed by Clinical Sequence Miner (deCODE Genetics). Patient 1 CMH064 was a male born at 33 weeks gestation with erosive dermatoses. He was delivered vaginally following induction for preeclampsia. Des- quamation and erythroderma from the hairline to occiput were present at birth (Fig. 2A). Denuded, hyperpigmented, and partially scarred le- sions were noted above the upper lip, over the mentum, and in place of eyebrows. He had a truncated foreskin. His nails were dystrophic and yellowed. There were no vesicles, pustules, blisters, or mucosal lesions. Family history was positive for psoriasis. His mother had a healthy daughter from a prior union; there was no history of fetal loss. His father was healthy. Cultures and herpesvirus PCR were negative. He developed severe and intubation were necessary because of fibrinous oropharyngeal exudate. Skin biopsy histology revealed acantholysis, loss of cohesion be- tween keratinocytes, and empty lacunae (Fig. 3A). There was focal dermal infiltration with neutrophils and lymphocytes and complete sloughing of the epidermal layer with focal clefting at the suprabasal layer (Fig. 3B). Immunofluorescence staining was negative for IgA Downloaded from stm.sciencemag.org on February 10 st = & —4 Fig. 2. Skin lesions in patient CMH064. (A) Desquamated lesions with erythroderma on the scalp at birth. (B) Day 30 progression of desquamation. His fingers were edematous and discolored and had retained only three nails. www.ScienceTranslationalMedicine.org 3 October 2012 Vol 4 Issue 154 1541a135 9 EFTA00315109

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RESEARCH ARTICLE Fig. 3. Skin lesion histology for patient CMH064. (A) Dermal acantholysis {loss of intercellular connections in loss of cohesion between ke- ratinocytes) and formation of empty lacunae (cavities; arrow). (B) Focal der- {immunoglobulin A), IgM, and IgG except for linear staining for C3. Additional skin immunofluorescence studies revealed slightly reduced plakoglobin and desmoplakin and normal laminin 332; col- lagen types 4, 7, and 17; and plakophilin-1. Electron microscopy con- firmed the absence of dermoepidermal junction (DE]) separation and showed focally widened spaces between keratinocytes and cell vacuol- ization from the DE] to the stratum corneum. Hemidesmosomes were normal. Some keratinocytes had large solitary vacuoles, abnormal con- densation of keratin filaments, and perinuclear pallor. Some desmosomes had ragged edges. There were no intracellular inclusions. Negative labo- ratory studies included karyotype, Ro, La, Smith, ribonucleoprotein, and Scl-70 autoantibodies. Igs were unremarkable apart from an elevated serum IgA. Sloughing of the skin, mucosal surfaces, and cornea continued to worsen, and by day 30, his activity level had markedly decreased (Fig. 2B). His fingers were edematous and discolored and had retained only three nails. On day 39, he developed purulent drainage from facial lesions. Skin cultures were positive for Escherichia coli and Enterococcus faecalis, and blood cultures for E, coli. Antibiotics were administered. He was thrombocytopenic and anemic, necessitating numerous transfu- sions. On day 47, ultrasound revealed nonocclusive portal vein and left brachiocephalic vein thrombi. By day 54, he developed metabolic aci- dosis, bloody stools, and persistent tachycardia. Medical interventions were withdrawn and he died on day 54. At autopsy, suprabasal acan- tholysis was present in the skin and the esophageal mucosa. Dideoxy sequencing of candidate genes KRT3, DSP, JUP, TP63, and KRT14 exons 1, 4, and 6 (the regions harboring most KRT'14 mutations) was negative. Patient 2 CMHO076 was a male born at term with lactic acidosis, cardio- myopathy, and corneal clouding. He was born to a primigravid mother mal infiltration of neutrophils and lymphocytes (double-headed arrow). The epidermal layer shows complete sloughing with focal clefting at the suprabasal layer (arrow). whose pregnancy was notable for decreased movements at 35 weeks gestation. His mother and father were healthy. Variable decelerations in heart rate were noted on the day before delivery. Labor was compli- cated by prolonged rupture of membranes, and delivery was by vacuum extraction for meconium staining. Apgar scores were 2, 3, and 5 at 1, 5, and 10 min, respectively. He had poor respiratory effort and hypotonia and required intubation. Upon transfer to CMH on day 2, he had lactic acidosis (lactate, 12 mmol/dl), coagulopathy, and cloudy corneas. Multiple cultures were negative. showed chamber en- largement, reduction in biventricular function, noncompaction cardiomy- revealed normal amino acids and elevated 3-methyglutaconic acid, Ssmathghutae aid, and 2-ahy-3 hydroxy propionic id Long. chain fatty acids, acyl-carnitines, lysosomal hydrolases, {-galactosidase, B-glucuronidase, sphingomyelinase, glucocerebrosidase, a-1-iduronidase, and a-glucosaminidase were normal. Pressors were required for hypo- tension, and acidosis increased. He was diagnosed with hypoxic ischemic encephalopathy. On day 3, lactate was 28.2 mmol/dl. On day 5, respi- ratory distress worsened, accompanied by bloody endotracheal secretions; arterial pH was 7.04 and lactate was 22.0 mmol/dl. Medical interven- tions were withdrawn at the family’s request, and he expired on day 5. Postmortem testing by array comparative genomic hybridization (aCGH) and sequencing for mitochondrial transfer RNAs and TAZ, associated with Barth syndrome, were normal. Patient 3 CMH172 was a female with intractable epilepsy. She was delivered at 39 weeks gestation by Cesarean section after an uncomplicated preg- nancy. No exposure in utero to drugs, alcohol, or medications was re- ported. Birth weight was normal, length was 46 cm (<3%), and head circumference was 33 cm (<3%). Amniotic fluid was meconium-stained. www.ScienceTranslationalMedicine.org 3 October 2012 Vol 4 Issue 154 154ra135 10 EFTA00315110 ‘Downloaded trom ‘stm eciencemag.org on February 10, 2014

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RESEARCH ARTICLE Apgar scores were 6, 7, and 8 at 1, 5, and 10 min, respectively. Family history was positive for a female cousin with profound intellectual disabil- ity and infrequent seizures, and two cousins by a consanguineous marriage who died at 6 and 8 weeks of age of intractable epilepsy; all were from the same small Mexican town as the proband. Seizures started 1 hour after delivery. Antibiotics were given empirically until cultures and cere- brospinal fluid (CSF) herpesvirus PCR returned negative. Seizures continued despite multiple antiepileptic medications. CSF (including glycine level and CSF/plasma ratio) and brain MRI were normal. Electroencephalogram (EEG) showed focal epileptiform and sharp wave activity. Blood ammonia, electrolytes, pH, and glucose were normal. Oral feeding was poor. She was intubated and required increasing respiratory support for low SaQ, and bradycardia. Oph- thalmologic examination and radiologic skeletal survey were normal. An echocardiogram revealed a patent foramen ovale, tricuspid regur- gitation, and peripheral pulmonary stenosis. Her karyotype was normal. aCGH was not diagnostic, but multiple tracts of homozygosity suggested shared parental ancestry. A repeat brain MRI at age 3 weeks was normal. Upon transfer to CMH at 5 weeks of age, she was small but symmetric, with bitemporal narrowing, micrognathia, flat nasal bridge, upslanted palpebral fissures, uplifted ear lobes, redundant helices, and fifth finger clinodactyly. She had hypertonia, persistence of cortical thumbs, hyperreflexia, clonus, and facial twitching. B6 chal- lenge improved her EEG transiently, followed by return of multifocal sharp waves. Serum amino acids and urine organic acids were normal. Recurrent seizures continued both clinically and by EEG. After lengthy discussion, the parents requested withdrawal of support. Patient 4 CMH184 was a male with visceral heterotaxy and congenital heart disease (dextro-transposition of the great arteries, total anomalous pul- monary venous return with pulmonary veins connecting to the right atrium, a large ventricular septal defect, pulmonary valve and main pulmonary artery atresia, mildly hypoplastic branch pulmonary ar- teries, patent ductus arteriosus with ductal-dependant left-to-right flow, and large atrial septal defect with obligate right-to-left flow). There was situs inversus of the spleen, liver, and stomach, with the aorta on the right of the spine and inferior vena cava on the left. Family history was positive for a 6-year-old brother (CMH185) with the same findings (dextrocardia, ventricular inversion, double outlet right ventricle, pulmonary stenosis, small pulmonary arteries, interrupted inferior vena cava with azygous continuation, and situs inversus of the liver and spleen). His parents (mother, CMH186, and father, CMH202) and two other sib- lings (one male and one female) were healthy. Testing of Z/C3, associated with X-linked recessive heterotaxy 1, was normal. Patient 4 remains in the NICU and is undergoing cardiac surgery. SUPPLEMENTARY MATERIALS www. sciencetransiationalmedicine org/egi/content/full/4/154/154ra135/DC1 Materials and Methods Fig. S1. Candidate gene selection by SSAGA for automated variant characterization and inter- pretation guidance, Fig. 52. Automated variant characterization by RUNES. Table S1. Five hundred ninety-one recessive diseases and genes for which clinical terms and @ targeted enrichment panel (CMH-Ox!) have been developed. Table 52. Comparison of the rapid WGS data set from sample CMHO064 with three different alignment and variant detection methads (GSNAP/GATK, the lllumina CASAVA alignment tool, and BWA tool). Table $3. Disease genes nominated by SSAGA on the basis of the clinical features of patient ‘UDTOO2. Table $4. Disease genes nominated by SSAGA on the basis of the clinical features of patient UDTI73. Table $5. Disease genes nominated by SSAGA on the basis of the clinical features of patient (CMH064, Table S6. Candidate genes for EB with pseudogenes, paralogs, or segments with reduced sequence complexity. Table $7. Disease genes nominated by SSAGA on the basis of the clinical features of patient (CMHO076. Table $8. Disease genes nominated by SSAGA on the basis of the clinical features of patient (CMH172. Table $9. Disease genes nominated by SSAGA on the basis of the clinical features of patient (CMH 184, REFERENCES AND NOTES 1. ED. Green, M.S. Guyer; National Human Genome Research Institute, Charting @ course for genomic medicine from base pairs to bedside. Nature 470, 204-213 (2011). 2. SF. Kingsenore, D. L. Dinwiddie, N. A. Miller, SE. Soden, C J. Saunders, Adopting orphans: Comprehensive genetic testing of Mendelian diseases of childhood by next-generation sequencing. Expert Rev. Mol. 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