Lessons learned from additional research analyses of unsolved clinical exome cases

Mohammad K. Eldomery(Indiana University School of Medicine), Zeynep Coban‐Akdemir(Baylor College of Medicine), Tamar Harel(Baylor College of Medicine), Jill A. Rosenfeld(Baylor College of Medicine), Tomasz Gambin(Baylor College of Medicine), Asbjørg Stray‐Pedersen(Oslo University Hospital), Sébastien Küry(Génétique Médicale & Génomique Fonctionelle), Sandra Mercier(Génétique Médicale & Génomique Fonctionelle), Davor Lessel(University Medical Center Hamburg-Eppendorf), Jonas Denecke(Universität Hamburg), Wojciech Wiszniewski(Baylor College of Medicine), Samantha Penney(Baylor College of Medicine), Pengfei Liu(Baylor College of Medicine), Weimin Bi(Baylor Genetics), Seema R. Lalani(Texas Children's Hospital), Christian P. Schaaf(Texas Children's Hospital), Michael F. Wangler(Baylor College of Medicine), Carlos A. Bacino(Texas Children's Hospital), Richard A. Lewis(Neurological Research Institute), Lorraine Potocki(Texas Children's Hospital), Brett H. Graham(Texas Children's Hospital), John W. Belmont(Texas Children's Hospital), Fernando Scaglia(Texas Children's Hospital), Jordan S. Orange(Baylor College of Medicine), Shalini N. Jhangiani(Baylor College of Medicine), Theodore Chiang(Baylor College of Medicine), HarshaVardhan Doddapaneni(Baylor College of Medicine), Jianhong Hu(Baylor College of Medicine), Donna M. Muzny(Baylor College of Medicine), Fan Xia(Baylor Genetics), Arthur L. Beaudet(Baylor College of Medicine), Eric Boerwinkle(The University of Texas Health Science Center at Houston), Christine M. Eng(Baylor Genetics), Sharon E. Plon(Baylor College of Medicine), V. Reid Sutton(Baylor College of Medicine), Richard A. Gibbs(Baylor College of Medicine), Jennifer E. Posey(Baylor College of Medicine), Yaping Yang(Baylor College of Medicine), James R. Lupski(Baylor College of Medicine)
Genome Medicine
March 21, 2017
Cited by 233Open Access
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Abstract

BACKGROUND: Given the rarity of most single-gene Mendelian disorders, concerted efforts of data exchange between clinical and scientific communities are critical to optimize molecular diagnosis and novel disease gene discovery. METHODS: We designed and implemented protocols for the study of cases for which a plausible molecular diagnosis was not achieved in a clinical genomics diagnostic laboratory (i.e. unsolved clinical exomes). Such cases were recruited to a research laboratory for further analyses, in order to potentially: (1) accelerate novel disease gene discovery; (2) increase the molecular diagnostic yield of whole exome sequencing (WES); and (3) gain insight into the genetic mechanisms of disease. Pilot project data included 74 families, consisting mostly of parent-offspring trios. Analyses performed on a research basis employed both WES from additional family members and complementary bioinformatics approaches and protocols. RESULTS: Analysis of all possible modes of Mendelian inheritance, focusing on both single nucleotide variants (SNV) and copy number variant (CNV) alleles, yielded a likely contributory variant in 36% (27/74) of cases. If one includes candidate genes with variants identified within a single family, a potential contributory variant was identified in a total of ~51% (38/74) of cases enrolled in this pilot study. The molecular diagnosis was achieved in 30/63 trios (47.6%). Besides this, the analysis workflow yielded evidence for pathogenic variants in disease-associated genes in 4/6 singleton cases (66.6%), 1/1 multiplex family involving three affected siblings, and 3/4 (75%) quartet families. Both the analytical pipeline and the collaborative efforts between the diagnostic and research laboratories provided insights that allowed recent disease gene discoveries (PURA, TANGO2, EMC1, GNB5, ATAD3A, and MIPEP) and increased the number of novel genes, defined in this study as genes identified in more than one family (DHX30 and EBF3). CONCLUSION: An efficient genomics pipeline in which clinical sequencing in a diagnostic laboratory is followed by the detailed reanalysis of unsolved cases in a research environment, supplemented with WES data from additional family members, and subject to adjuvant bioinformatics analyses including relaxed variant filtering parameters in informatics pipelines, can enhance the molecular diagnostic yield and provide mechanistic insights into Mendelian disorders. Implementing these approaches requires collaborative clinical molecular diagnostic and research efforts.


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