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Dive into the research topics where Simon Sadedin is active.

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Featured researches published by Simon Sadedin.


Genetics in Medicine | 2016

A prospective evaluation of whole-exome sequencing as a first-tier molecular test in infants with suspected monogenic disorders.

Zornitza Stark; Tiong Yang Tan; Belinda Chong; Gemma R. Brett; Patrick Yap; Maie Walsh; Alison Yeung; Heidi Peters; Dylan Mordaunt; Shannon Cowie; David J. Amor; Ravi Savarirayan; George McGillivray; Lilian Downie; Paul G. Ekert; Christiane Theda; Paul A. James; Joy Yaplito-Lee; Monique M. Ryan; Richard J. Leventer; Emma Creed; Ivan Macciocca; Katrina M. Bell; Alicia Oshlack; Simon Sadedin; Peter Georgeson; Charlotte Anderson; Natalie P. Thorne; Clara Gaff; Susan M. White

Purpose:To prospectively evaluate the diagnostic and clinical utility of singleton whole-exome sequencing (WES) as a first-tier test in infants with suspected monogenic disease.Methods:Singleton WES was performed as a first-tier sequencing test in infants recruited from a single pediatric tertiary center. This occurred in parallel with standard investigations, including single- or multigene panel sequencing when clinically indicated. The diagnosis rate, clinical utility, and impact on management of singleton WES were evaluated.Results:Of 80 enrolled infants, 46 received a molecular genetic diagnosis through singleton WES (57.5%) compared with 11 (13.75%) who underwent standard investigations in the same patient group. Clinical management changed following exome diagnosis in 15 of 46 diagnosed participants (32.6%). Twelve relatives received a genetic diagnosis following cascade testing, and 28 couples were identified as being at high risk of recurrence in future pregnancies.Conclusions:This prospective study provides strong evidence for increased diagnostic and clinical utility of singleton WES as a first-tier sequencing test for infants with a suspected monogenic disorder. Singleton WES outperformed standard care in terms of diagnosis rate and the benefits of a diagnosis, namely, impact on management of the child and clarification of reproductive risks for the extended family in a timely manner.Genet Med 18 11, 1090–1096.


Bioinformatics | 2012

Bpipe : A Tool for Running and Managing Bioinformatics Pipelines

Simon Sadedin; Bernard J. Pope; Alicia Oshlack

SUMMARYnBpipe is a simple, dedicated programming language for defining and executing bioinformatics pipelines. It specializes in enabling users to turn existing pipelines based on shell scripts or command line tools into highly flexible, adaptable and maintainable workflows with a minimum of effort. Bpipe ensures that pipelines execute in a controlled and repeatable fashion and keeps audit trails and logs to ensure that experimental results are reproducible. Requiring only Java as a dependency, Bpipe is fully self-contained and cross-platform, making it very easy to adopt and deploy into existing environments.nnnAVAILABILITY AND IMPLEMENTATIONnBpipe is freely available from http://bpipe.org under a BSD License.


Genome Biology | 2016

Disorders of sex development: Insights from targeted gene sequencing of a large international patient cohort

Stefanie Eggers; Simon Sadedin; Jocelyn A. van den Bergen; Gorjana Robevska; Thomas Ohnesorg; Jacqueline K. Hewitt; Luke S. Lambeth; Aurore Bouty; Ingrid M. Knarston; Tiong Yang Tan; Fergus J. Cameron; George A. Werther; John M. Hutson; Michele O’Connell; Sonia Grover; Yves Heloury; Margaret Zacharin; Philip Bergman; Chris Kimber; Justin Brown; Nathalie Webb; Matthew Hunter; Shubha Srinivasan; Angela Titmuss; Charles F. Verge; David Mowat; Grahame Smith; Janine Smith; Lisa Ewans; Carolyn Shalhoub

BackgroundDisorders of sex development (DSD) are congenital conditions in which chromosomal, gonadal, or phenotypic sex is atypical. Clinical management of DSD is often difficult and currently only 13% of patients receive an accurate clinical genetic diagnosis. To address this we have developed a massively parallel sequencing targeted DSD gene panel which allows us to sequence all 64 known diagnostic DSD genes and candidate genes simultaneously.ResultsWe analyzed DNA from the largest reported international cohort of patients with DSD (278 patients with 46,XY DSD and 48 with 46,XX DSD). Our targeted gene panel compares favorably with other sequencing platforms. We found a total of 28 diagnostic genes that are implicated in DSD, highlighting the genetic spectrum of this disorder. Sequencing revealed 93 previously unreported DSD gene variants. Overall, we identified a likely genetic diagnosis in 43% of patients with 46,XY DSD. In patients with 46,XY disorders of androgen synthesis and action the genetic diagnosis rate reached 60%. Surprisingly, little difference in diagnostic rate was observed between singletons and trios. In many cases our findings are informative as to the likely cause of the DSD, which will facilitate clinical management.ConclusionsOur massively parallel sequencing targeted DSD gene panel represents an economical means of improving the genetic diagnostic capability for patients affected by DSD. Implementation of this panel in a large cohort of patients has expanded our understanding of the underlying genetic etiology of DSD. The inclusion of research candidate genes also provides an invaluable resource for future identification of novel genes.


JAMA Pediatrics | 2017

Diagnostic Impact and Cost-effectiveness of Whole-Exome Sequencing for Ambulant Children With Suspected Monogenic Conditions

Tiong Yang Tan; Oliver James Dillon; Zornitza Stark; Deborah Schofield; Khurshid Alam; Rupendra Shrestha; Belinda Chong; Dean Phelan; Gemma R. Brett; Emma Creed; Anna Jarmolowicz; Patrick Yap; Maie Walsh; Lilian Downie; David J. Amor; Ravi Savarirayan; George McGillivray; Alison Yeung; Heidi Peters; Susan J. Robertson; Aaron J Robinson; Ivan Macciocca; Simon Sadedin; Katrina M. Bell; Alicia Oshlack; Peter Georgeson; Natalie P. Thorne; Clara Gaff; Susan M. White

Importance Optimal use of whole-exome sequencing (WES) in the pediatric setting requires an understanding of who should be considered for testing and when it should be performed to maximize clinical utility and cost-effectiveness. Objectives To investigate the impact of WES in sequencing-naive children suspected of having a monogenic disorder and evaluate its cost-effectiveness if WES had been available at different time points in their diagnostic trajectory. Design, Setting, and Participants This prospective study was part of the Melbourne Genomics Health Alliance demonstration project. At the ambulatory outpatient clinics of the Victorian Clinical Genetics Services at the Royal Children’s Hospital, Melbourne, Australia, children older than 2 years suspected of having a monogenic disorder were prospectively recruited from May 1 through November 30, 2015, by clinical geneticists after referral from general and subspecialist pediatricians. All children had nondiagnostic microarrays and no prior single-gene or panel sequencing. Exposures All children underwent singleton WES with targeted phenotype-driven analysis. Main Outcomes and Measures The study examined the clinical utility of a molecular diagnosis and the cost-effectiveness of alternative diagnostic trajectories, depending on timing of WES. Results Of 61 children originally assessed, 44 (21 [48%] male and 23 [52%] female) aged 2 to 18 years (mean age at initial presentation, 28 months; range, 0-121 months) were recruited, and a diagnosis was achieved in 23 (52%) by singleton WES. The diagnoses were unexpected in 8 of 23 (35%), and clinical management was altered in 6 of 23 (26%). The mean duration of the diagnostic odyssey was 6 years, with each child having a mean of 19 tests and 4 clinical genetics and 4 nongenetics specialist consultations, and 26 (59%) underwent a procedure while under general anesthetic for diagnostic purposes. Economic analyses of the diagnostic trajectory identified that WES performed at initial tertiary presentation resulted in an incremental cost savings of A


Genome Medicine | 2015

Cpipe: a shared variant detection pipeline designed for diagnostic settings

Simon Sadedin; Harriet Dashnow; Paul A. James; Melanie Bahlo; Denis C. Bauer; Andrew Lonie; Sebastian Lunke; Ivan Macciocca; Jason P. Ross; Kirby Siemering; Zornitza Stark; Susan M. White; Graham R. Taylor; Clara Gaff; Alicia Oshlack; Natalie P. Thorne

9020 (US


Annals of clinical and translational neurology | 2017

Diagnostic and cost utility of whole exome sequencing in peripheral neuropathy

Maie Walsh; Katrina M. Bell; Belinda Chong; Emma Creed; Gemma R. Brett; Kate Pope; Natalie P. Thorne; Simon Sadedin; Peter Georgeson; Dean Phelan; Timothy Day; J. Taylor; Adrienne C. Sexton; Paul J. Lockhart; Lynette Kiers; Michael Fahey; Ivan Macciocca; Clara Gaff; Alicia Oshlack; Eppie M. Yiu; Paul A. James; Zornitza Stark; Monique M. Ryan

6838) per additional diagnosis (95% CI, A


American Journal of Medical Genetics Part A | 2017

De novo mutations in HNRNPU result in a neurodevelopmental syndrome

T. Michael Yates; Pradeep Vasudevan; Kate Chandler; Deirdre E. Donnelly; Zornitza Stark; Simon Sadedin; Josh Willoughby; Meena Balasubramanian

4304-A


Genome Biology | 2012

Disorders of sex development

Stefanie Eggers; Simon Sadedin; Jocelyn A. van den Bergen; Gorjana Robevska; Thomas Ohnesorg; Jacqueline K. Hewitt; Luke S. Lambeth; Aurore Bouty; Ingrid M. Knarston; null Tiong Yang Tan; Fergus J. Cameron; George A. Werther; John M. Hutson; Michele O'Connell; Sonia Grover; Yves Heloury; Margaret Zacharin; Philip Bergman; Chris Kimber; Justin Brown; Nathalie Webb; Matthew Hunter; Shubha Srinivasan; Angela Titmuss; Charles F. Verge; David Mowat; Grahame Smith; Janine Smith; Lisa Ewans; Carolyn Shalhoub

15 404 [US


Genome Biology | 2018

STRetch: detecting and discovering pathogenic short tandem repeat expansions

Harriet Dashnow; Monkol Lek; Belinda Phipson; Andreas Halman; Simon Sadedin; Andrew Lonsdale; Mark M. Davis; Phillipa Lamont; Joshua S. Clayton; Nigel G. Laing; Daniel G. MacArthur; Alicia Oshlack

3263-US


European Journal of Human Genetics | 2017

A clinically driven variant prioritization framework outperforms purely computational approaches for the diagnostic analysis of singleton WES data

Zornitza Stark; Harriet Dashnow; Sebastian Lunke; Tiong Yang Tan; Alison Yeung; Simon Sadedin; Natalie P. Thorne; Ivan Macciocca; Clara Gaff; Alicia Oshlack; Susan M. White; Paul A. James

11 678]) compared with the standard diagnostic pathway. Even if WES were performed at the first genetics appointment, there would be an incremental cost savings of A

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Zornitza Stark

Royal Children's Hospital

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Clara Gaff

University of Melbourne

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Ivan Macciocca

Royal Children's Hospital

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Paul A. James

Peter MacCallum Cancer Centre

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Alison Yeung

Royal Children's Hospital

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