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Holistic cancer genome profiling for every patient.

Published version
Peer-reviewed

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Authors

Memari, Yasin 
Davies, Helen R 

Abstract

Technological advances in the ability to read the human genome have accelerated the speed of sequencing, such that today we can perform whole genome sequencing (WGS) in one day. Until recently, genomic studies have largely been limited to seeking novel scientific discoveries. The application of new insights gained through cancer WGS into the clinical domain, have been relatively limited. Looking ahead, a vast amount of data can be generated by genomic studies. Of note, excellent organisation of genomic and clinical data permits the application of machine-learning methods which can lead to the development of clinical algorithms that could assist future clinicians and genomicists in the analysis and interpretation of individual cancer genomes. Here, we describe what can be gleaned from holistic whole cancer genome profiling and argue that we must build the infrastructure and educational frameworks to support the modern clinical genomicist to prepare for a future where WGS will be the norm.

Description

Keywords

Algorithms, Genome, Human, Genomics, Humans, Neoplasms, Whole Genome Sequencing

Journal Title

Swiss Med Wkly

Conference Name

Journal ISSN

1424-7860
1424-3997

Volume Title

150

Publisher

SMW Supporting Association
Sponsorship
Cancer Research UK (23916)
Cancer Research UK (23433)
Cancer Research UK (C60100/A27815)
Dr. Josef Steiner Cancer Foundation (Award 2019)