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MG-130 Utilising whole exome sequencing to identify causative variants in genetically heterogeneous disorders
  1. Dimitri J Stavropoulos1,
  2. Christian R Marshall1,
  3. Raveen K Basran1,
  4. Lynette Lau1,
  5. Marianne Eliou1,
  6. Jennifer Orr1,
  7. Eriskay J Liston1,
  8. Sarah Bowdin2,
  9. MStephen Meyn2,3,4,
  10. Melissa Carter2,
  11. Chris Carew5,
  12. Ronald D Cohn2,3,4,5,
  13. Adam Shlien1,3,
  14. Peter N Ray1,3,4,5,6
  1. 1Genome Diagnostics, Department of Paediatric Laboratory Medicine, The Hospital for Sick Children, Toronto, ON, Canada
  2. 2Division of Clinical and Metabolic Genetics, The Hospital for Sick Children, Toronto, ON, Canada
  3. 3Program in Genetics and Genome Biology, Hospital for Sick Children, Toronto, ON, Canada
  4. 4Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
  5. 5Centre for Genetic Medicine, The Hospital for Sick Children, Toronto, ON, Canada
  6. 6The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON, Canada

Abstract

Background The rapid pace of innovation within the era of genomic sequencing has provided unprecedented insights into the genetic basis of human disease. Clinical whole exome sequencing provides a means for clinicians and clinical labs to take advantage of this ongoing expansion of knowledge, to benefit patient care and offer individualised medicine.

Methods/results We have developed a workflow and customised informatics pipeline suitable for processing large numbers of clinical exomes to achieve a diagnosis for genetically heterogeneous disorders. In order to guide genetic variant interpretation, we have implemented the Phenotips software tool within the hospital to collect detailed phenotype information from physicians, through a web-based interface. We describe our exome variant interpretation algorithm that integrates multiple control and clinical databases, as well as our on-site patient database to achieve a diagnosis. In order to maximise diagnostic yield, our analysis includes variants affecting all genes known to cause genetic disorders, which are prioritised according to phenotypic information provided by the referring physician. In addition, we provide patients the option of reporting secondary findings as described in the ACMG guidelines.

Conclusions This comprehensive approach provides an effective strategy for identifying causative variants in patients with genetically and phenotypically heterogeneous disorders, who would otherwise remain undiagnosed.

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