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The clinical utility and costs of whole-genome sequencing to detect cancer susceptibility variants"”a multi-site prospective cohort study

  • Aimee L. Davidson
  • , Uwe Dressel
  • , Sarah Norris
  • , Daffodil M. Canson
  • , Dylan M. Glubb
  • , Cristina Fortuno
  • , Georgina E. Hollway
  • , Michael T. Parsons
  • , Miranda E. Vidgen
  • , Oliver Holmes
  • , Lambros T. Koufariotis
  • , Vanessa Lakis
  • , Conrad Leonard
  • , Scott Wood
  • , Qinying Xu
  • , Amy E. McCart Reed
  • , Hilda A. Pickett
  • , Mohammad K. Al-Shinnag
  • , Rachel L. Austin
  • , Jo Burke
  • Elisa J. Cops, Cassandra B. Nichols, Annabel Goodwin, Marion T. Harris, Megan J. Higgins, Emilia L. Ip, Catherine Kiraly-Borri, Chiyan Lau, Julia L. Mansour, Michael W. Millward, Melissa J. Monnik, Nicholas S. Pachter, Abiramy Ragunathan, Rachel D. Susman, Sharron L. Townshend, Alison H. Trainer, Simon L. Troth, Katherine M. Tucker, Mathew J. Wallis, Maie Walsh, Rachel A. Williams, Ingrid M. Winship, Felicity Newell, Emma Tudini, John V. Pearson, Nicola K. Poplawski, Helen G. Mar Fan, Paul A. James, Amanda B. Spurdle, Nicola Waddell, Robyn L. Ward
  • Queensland Institute of Medical Research
  • University of Queensland
  • The University of Sydney
  • Australian Genomics Health Alliance
  • Royal Brisbane and Women's Hospital
  • Royal Hobart Hospital
  • Peter Maccallum Cancer Centre
  • King Edward Memorial Hospital for Women
  • Royal Prince Alfred Hospital
  • Monash Health
  • Monash University
  • Liverpool Hospital
  • Government of Western Australia, Department of Health
  • Pathology Queensland
  • Royal Adelaide Hospital
  • University of Western Australia
  • Westmead Hospital
  • University of Melbourne
  • University of New South Wales
  • Prince of Wales Hospital
  • University of Tasmania
  • Royal Melbourne Hospital
  • University of Adelaide

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)

Abstract

Background: Many families and individuals do not meet criteria for a known hereditary cancer syndrome but display unusual clusters of cancers. These families may carry pathogenic variants in cancer predisposition genes and be at higher risk for developing cancer. Methods: This multi-centre prospective study recruited 195 cancer-affected participants suspected to have a hereditary cancer syndrome for whom previous clinical targeted genetic testing was either not informative or not available. To identify pathogenic disease-causing variants explaining participant presentation, germline whole-genome sequencing (WGS) and a comprehensive cancer virtual gene panel analysis were undertaken. Results: Pathogenic variants consistent with the presenting cancer(s) were identified in 5.1% (10/195) of participants and pathogenic variants considered secondary findings with potential risk management implications were identified in another 9.7% (19/195) of participants. Health economic analysis estimated the marginal cost per case with an actionable variant was significantly lower for upfront WGS with virtual panel ($8744AUD) compared to standard testing followed by WGS ($24,894AUD). Financial analysis suggests that national adoption of diagnostic WGS testing would require a ninefold increase in government annual expenditure compared to conventional testing. Conclusions: These findings make a case for replacing conventional testing with WGS to deliver clinically important benefits for cancer patients and families. The uptake of such an approach will depend on the perspectives of different payers on affordability.
Original languageEnglish
Article number74
JournalGenome Medicine
Volume15
Issue number1
DOIs
Publication statusPublished - Dec 2023
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2023, BioMed Central Ltd., part of Springer Nature.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Diagnostic testing
  • Familial cancer
  • Genetics
  • Health economics
  • Variants
  • Whole-genome sequencing

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