Improved diagnostic yield compared with targeted gene sequencing panels suggests a role for whole-genome sequencing as a first-tier genetic test

Anath C Lionel, Gregory Costain, Nasim Monfared, Susan Walker, Miriam S Reuter, S Mohsen Hosseini, Bhooma Thiruvahindrapuram, Daniele Merico, Rebekah Jobling, Thomas Nalpathamkalam, Giovanna Pellecchia, Wilson W L Sung, Zhuozhi Wang, Peter Bikangaga, Cyrus Boelman, Melissa T Carter, Dawn Cordeiro, Cheryl Cytrynbaum, Sharon D Dell, Priya Dhir, James J Dowling, Elise Heon, Stacy Hewson, Linda Hiraki, Michal Inbar-Feigenberg, Regan Klatt, Jonathan Kronick, Ronald M Laxer, Christoph Licht, Heather MacDonald, Saadet Mercimek-Andrews, Roberto Mendoza-Londono, Tino Piscione, Rayfel Schneider, Andreas Schulze, Earl Silverman, Komudi Siriwardena, O Carter Snead, Neal Sondheimer, Joanne Sutherland, Ajoy Vincent, Jonathan D Wasserman, Rosanna Weksberg, Cheryl Shuman, Chris Carew, Michael J Szego, Robin Z Hayeems, Raveen Basran, Dimitri J Stavropoulos, Peter N Ray, Sarah Bowdin, M Stephen Meyn, Ronald D Cohn, Stephen W Scherer, Christian R Marshall, Anath C Lionel, Gregory Costain, Nasim Monfared, Susan Walker, Miriam S Reuter, S Mohsen Hosseini, Bhooma Thiruvahindrapuram, Daniele Merico, Rebekah Jobling, Thomas Nalpathamkalam, Giovanna Pellecchia, Wilson W L Sung, Zhuozhi Wang, Peter Bikangaga, Cyrus Boelman, Melissa T Carter, Dawn Cordeiro, Cheryl Cytrynbaum, Sharon D Dell, Priya Dhir, James J Dowling, Elise Heon, Stacy Hewson, Linda Hiraki, Michal Inbar-Feigenberg, Regan Klatt, Jonathan Kronick, Ronald M Laxer, Christoph Licht, Heather MacDonald, Saadet Mercimek-Andrews, Roberto Mendoza-Londono, Tino Piscione, Rayfel Schneider, Andreas Schulze, Earl Silverman, Komudi Siriwardena, O Carter Snead, Neal Sondheimer, Joanne Sutherland, Ajoy Vincent, Jonathan D Wasserman, Rosanna Weksberg, Cheryl Shuman, Chris Carew, Michael J Szego, Robin Z Hayeems, Raveen Basran, Dimitri J Stavropoulos, Peter N Ray, Sarah Bowdin, M Stephen Meyn, Ronald D Cohn, Stephen W Scherer, Christian R Marshall

Abstract

PurposeGenetic testing is an integral diagnostic component of pediatric medicine. Standard of care is often a time-consuming stepwise approach involving chromosomal microarray analysis and targeted gene sequencing panels, which can be costly and inconclusive. Whole-genome sequencing (WGS) provides a comprehensive testing platform that has the potential to streamline genetic assessments, but there are limited comparative data to guide its clinical use.MethodsWe prospectively recruited 103 patients from pediatric non-genetic subspecialty clinics, each with a clinical phenotype suggestive of an underlying genetic disorder, and compared the diagnostic yield and coverage of WGS with those of conventional genetic testing.ResultsWGS identified diagnostic variants in 41% of individuals, representing a significant increase over conventional testing results (24%; P = 0.01). Genes clinically sequenced in the cohort (n = 1,226) were well covered by WGS, with a median exonic coverage of 40 × ±8 × (mean ±SD). All the molecular diagnoses made by conventional methods were captured by WGS. The 18 new diagnoses made with WGS included structural and non-exonic sequence variants not detectable with whole-exome sequencing, and confirmed recent disease associations with the genes PIGG, RNU4ATAC, TRIO, and UNC13A.ConclusionWGS as a primary clinical test provided a higher diagnostic yield than conventional genetic testing in a clinically heterogeneous cohort.

Conflict of interest statement

The authors declare no conflict of interest.

References

    1. Stavropoulos DJ, Merico D, Jobling R et al. Whole-genome sequencing expands diagnostic utility and improves clinical management in paediatric medicine. NPJ Genom Med 2016;1:15012.
    1. Winkler EC, Wiemann S. Findings made in gene panel to whole genome sequencing: data, knowledge, ethics—and consequences? Expert Rev Mol Diagn 2016;16:1259–1270.
    1. Lee H, Deignan JL, Dorrani N et al. Clinical exome sequencing for genetic identification of rare Mendelian disorders. JAMA 2014;312:1880–1887.
    1. Posey JE, Harel T, Liu P et al. Resolution of disease phenotypes resulting from multilocus genomic variation. N Engl J Med 2017;376:21–31.
    1. Trujillano D, Bertoli-Avella AM, Kumar Kandaswamy K et al. Clinical exome sequencing: results from 2819 samples reflecting 1000 families. Eur J Hum Genet 2017;25:176–182.
    1. Stark Z, Tan TY, Chong B et al. A prospective evaluation of whole-exome sequencing as a first-tier molecular test in infants with suspected monogenic disorders. Genet Med 2016;18:1090–1096.
    1. Gilissen C, Hehir-Kwa JY, Thung DT et al. Genome sequencing identifies major causes of severe intellectual disability. Nature 2014;511:344–347.
    1. Soden SE, Saunders CJ, Willig LK et al. Effectiveness of exome and genome sequencing guided by acuity of illness for diagnosis of neurodevelopmental disorders. Sci Transl Med 2014;6:265ra168.
    1. Taylor JC, Martin HC, Lise S et al. Factors influencing success of clinical genome sequencing across a broad spectrum of disorders. Nat Genet 2015;47:717–726.
    1. Willig LK, Petrikin JE, Smith LD et al. Whole-genome sequencing for identification of Mendelian disorders in critically ill infants: a retrospective analysis of diagnostic and clinical findings. Lancet Respir Med 2015;3:377–387.
    1. Bowdin SC, Hayeems RZ, Monfared N et al. The SickKids Genome Clinic: developing and evaluating a pediatric model for individualized genomic medicine. Clin Genet 2016;89:10–19.
    1. Kalia SS, Adelman K, Bale SJ et al. Recommendations for reporting of secondary findings in clinical exome and genome sequencing, 2016 update (ACMG SF v2.0): a policy statement of the American College of Medical Genetics and Genomics. Genet Med 2017;19:249–255.
    1. Girdea M, Dumitriu S, Fiume M et al. PhenoTips: patient phenotyping software for clinical and research use. Hum Mutat 2013;34:1057–1065.
    1. Raczy C, Petrovski R, Saunders CT et al. Isaac: ultra-fast whole-genome secondary analysis on Illumina sequencing platforms. Bioinformatics 2013;29:2041–2043.
    1. Wang K, Li M, Hakonarson H. ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data. Nucleic Acids Res 2010;38:e164.
    1. Castellana S, Ronai J, Mazza T. MitImpact: an exhaustive collection of pre-computed pathogenicity predictions of human mitochondrial non-synonymous variants. Hum Mutat 2015;36:E2413–2422.
    1. Zhu M, Need AC, Han Y et al. Using ERDS to infer copy-number variants in high-coverage genomes. Am J Hum Genet 2012;91:408–421.
    1. Abyzov A, Urban AE, Snyder M, Gerstein M. CNVnator: an approach to discover, genotype, and characterize typical and atypical CNVs from family and population genome sequencing. Genome Res 2011;21:974–984.
    1. Landrum MJ, Lee JM, Benson M et al. ClinVar: public archive of interpretations of clinically relevant variants. Nucleic Acids Res 2016;44:D862–868.
    1. Stenson PD, Ball EV, Mort M et al. Human Gene Mutation Database (HGMD): 2003 update. Hum Mutat 2003;21:577–581.
    1. Richards S, Aziz N, Bale S et al. Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genet Med 2015;17:405–424.
    1. Consugar MB, Navarro-Gomez D, Place EM et al. Panel-based genetic diagnostic testing for inherited eye diseases is highly accurate and reproducible, and more sensitive for variant detection, than exome sequencing. Genet Med 2015;17:253–261.
    1. Makrythanasis P, Kato M, Zaki MS et al. Pathogenic variants in PIGG cause intellectual disability with seizures and hypotonia. Am J Hum Genet 2016;98:615–626.
    1. Merico D, Roifman M, Braunschweig U et al. Compound heterozygous mutations in the noncoding RNU4ATAC cause Roifman Syndrome by disrupting minor intron splicing. Nat Commun 2015;6:8718.
    1. Pengelly RJ, Greville-Heygate S, Schmidt S et al. Mutations specific to the Rac-GEF domain of TRIO cause intellectual disability and microcephaly. J Med Genet 2016;53:735–742.
    1. Engel AG, Selcen D, Shen XM et al. Loss of MUNC13-1 function causes microcephaly, cortical hyperexcitability, and fatal myasthenia. Neurol Genet 2016;2:e105.
    1. Tammimies K, Marshall CR, Walker S et al. Molecular diagnostic yield of chromosomal microarray analysis and whole-exome sequencing in children with autism spectrum disorder. JAMA 2015;314:895–903.
    1. Wenger AM, Guturu H, Bernstein JA, Bejerano G. Systematic reanalysis of clinical exome data yields additional diagnoses: implications for providers. Genet Med 2017;19:209–214.
    1. Stark Z, Schofield D, Alam K et al. Prospective comparison of the cost-effectiveness of clinical whole-exome sequencing with that of usual care overwhelmingly supports early use and reimbursement. Genet Med; e-pub ahead of print 26 January 2017.
    1. Lelieveld SH, Spielmann M, Mundlos S et al. Comparison of exome and genome sequencing technologies for the complete capture of protein-coding regions. Hum Mutat 2015;36:815–822.
    1. Anderson JA, Meyn MS, Shuman C et al. Parents perspectives on whole genome sequencing for their children: qualified enthusiasm? J Med Ethics; e-pub ahead of print 25 November 2016.
    1. Monroe GR, Frederix GW, Savelberg SM et al. Effectiveness of whole-exome sequencing and costs of the traditional diagnostic trajectory in children with intellectual disability. Genet Med 2016;18:949–956.
    1. Tsiplova K, Zur RM, Marshall CR et al. A microcosting and cost-consequence analysis of clinical genomic testing strategies in autism spectrum disorder. Genet Med; e-pub ahead of print 4 May 2017.
    1. Vetrini F, Tammaro R, Bondanza S et al. Aberrant splicing in the ocular albinism type 1 gene (OA1/GPR143) is corrected in vitro by morpholino antisense oligonucleotides. Hum Mutat 2006;27:420–426.
    1. Ogino W, Takeshima Y, Nishiyama A et al. Mutation analysis of the ornithine transcarbamylase (OTC) gene in five Japanese OTC deficiency patients revealed two known and three novel mutations including a deep intronic mutation. Kobe J Med Sci 2007;53:229–240.
    1. Engel K, Nuoffer JM, Muhlhausen C et al. Analysis of mRNA transcripts improves the success rate of molecular genetic testing in OTC deficiency. Mol Genet Metab 2008;94:292–297.
    1. Hinkes B, Wiggins RC, Gbadegesin R et al. Positional cloning uncovers mutations in PLCE1 responsible for a nephrotic syndrome variant that may be reversible. Nat Genet 2006;38:1397–1405.
    1. Ng BG, Buckingham KJ, Raymond K et al. Mosaicism of the UDP-galactose transporter SLC35A2 causes a congenital disorder of glycosylation. Am J Hum Genet 2013;92:632–636.
    1. Heinen CA, Jongejan A, Watson PJ et al. A specific mutation in TBL1XR1 causes Pierpont syndrome. J Med Genet 2016;53:330–337.
    1. Lionel AC, Monfared N, Scherer SW et al. MED23-associated refractory epilepsy successfully treated with the ketogenic diet. Am J Med Genet A 2016;170:2421–2425.

Source: PubMed

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