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Whole Genome Sequencing Expands Diagnostic Utility and Improves Clinical Management in Pediatric Medicine.


ABSTRACT: The standard of care for first-tier clinical investigation of the etiology of congenital malformations and neurodevelopmental disorders is chromosome microarray analysis (CMA) for copy number variations (CNVs), often followed by gene(s)-specific sequencing searching for smaller insertion-deletions (indels) and single nucleotide variant (SNV) mutations. Whole genome sequencing (WGS) has the potential to capture all classes of genetic variation in one experiment; however, the diagnostic yield for mutation detection of WGS compared to CMA, and other tests, needs to be established. In a prospective study we utilized WGS and comprehensive medical annotation to assess 100 patients referred to a paediatric genetics service and compared the diagnostic yield versus standard genetic testing. WGS identified genetic variants meeting clinical diagnostic criteria in 34% of cases, representing a 4-fold increase in diagnostic rate over CMA (8%) (p-value = 1.42e-05) alone and >2-fold increase in CMA plus targeted gene sequencing (13%) (p-value = 0.0009). WGS identified all rare clinically significant CNVs that were detected by CMA. In 26 patients, WGS revealed indel and missense mutations presenting in a dominant (63%) or a recessive (37%) manner. We found four subjects with mutations in at least two genes associated with distinct genetic disorders, including two cases harboring a pathogenic CNV and SNV. When considering medically actionable secondary findings in addition to primary WGS findings, 38% of patients would benefit from genetic counseling. Clinical implementation of WGS as a primary test will provide a higher diagnostic yield than conventional genetic testing and potentially reduce the time required to reach a genetic diagnosis.

SUBMITTER: Stavropoulos DJ 

PROVIDER: S-EPMC5447450 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature

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Whole Genome Sequencing Expands Diagnostic Utility and Improves Clinical Management in Pediatric Medicine.

Stavropoulos Dimitri J DJ   Merico Daniele D   Jobling Rebekah R   Bowdin Sarah S   Monfared Nasim N   Thiruvahindrapuram Bhooma B   Nalpathamkalam Thomas T   Pellecchia Giovanna G   Yuen Ryan K C RKC   Szego Michael J MJ   Hayeems Robin Z RZ   Shaul Randi Zlotnik RZ   Brudno Michael M   Girdea Marta M   Frey Brendan B   Alipanahi Babak B   Ahmed Sohnee S   Babul-Hirji Riyana R   Porras Ramses Badilla RB   Carter Melissa T MT   Chad Lauren L   Chaudhry Ayeshah A   Chitayat David D   Doust Soghra Jougheh SJ   Cytrynbaum Cheryl C   Dupuis Lucie L   Ejaz Resham R   Fishman Leona L   Guerin Andrea A   Hashemi Bita B   Helal Mayada M   Hewson Stacy S   Inbar-Feigenberg Michal M   Kannu Peter P   Karp Natalya N   Kim Raymond R   Kronick Jonathan J   Liston Eriskay E   MacDonald Heather H   Mercimek-Mahmutoglu Saadet S   Mendoza-Londono Roberto R   Nasr Enas E   Nimmo Graeme G   Parkinson Nicole N   Quercia Nada N   Raiman Julian J   Roifman Maian M   Schulze Andreas A   Shugar Andrea A   Shuman Cheryl C   Sinajon Pierre P   Siriwardena Komudi K   Weksberg Rosanna R   Yoon Grace G   Carew Chris C   Erickson Raith R   Leach Richard A RA   Klein Robert R   Ray Peter N PN   Meyn M Stephen MS   Scherer Stephen W SW   Cohn Ronald D RD   Marshall Christian R CR  

NPJ genomic medicine 20160101


The standard of care for first-tier clinical investigation of the etiology of congenital malformations and neurodevelopmental disorders is chromosome microarray analysis (CMA) for copy number variations (CNVs), often followed by gene(s)-specific sequencing searching for smaller insertion-deletions (indels) and single nucleotide variant (SNV) mutations. Whole genome sequencing (WGS) has the potential to capture all classes of genetic variation in one experiment; however, the diagnostic yield for  ...[more]

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