Literature DB >> 23603536

Clinical genomics information management software linking cancer genome sequence and clinical decisions.

Stuart Watt1, Wei Jiao, Andrew M K Brown, Teresa Petrocelli, Ben Tran, Tong Zhang, John D McPherson, Suzanne Kamel-Reid, Philippe L Bedard, Nicole Onetto, Thomas J Hudson, Janet Dancey, Lillian L Siu, Lincoln Stein, Vincent Ferretti.   

Abstract

Using sequencing information to guide clinical decision-making requires coordination of a diverse set of people and activities. In clinical genomics, the process typically includes sample acquisition, template preparation, genome data generation, analysis to identify and confirm variant alleles, interpretation of clinical significance, and reporting to clinicians. We describe a software application developed within a clinical genomics study, to support this entire process. The software application tracks patients, samples, genomic results, decisions and reports across the cohort, monitors progress and sends reminders, and works alongside an electronic data capture system for the trial's clinical and genomic data. It incorporates systems to read, store, analyze and consolidate sequencing results from multiple technologies, and provides a curated knowledge base of tumor mutation frequency (from the COSMIC database) annotated with clinical significance and drug sensitivity to generate reports for clinicians. By supporting the entire process, the application provides deep support for clinical decision making, enabling the generation of relevant guidance in reports for verification by an expert panel prior to forwarding to the treating physician.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cancer genome sequencing; Clinical genomics; Decision support; Electronic data capture; Knowledge base; Web-based application

Mesh:

Year:  2013        PMID: 23603536     DOI: 10.1016/j.ygeno.2013.04.007

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


  3 in total

Review 1.  Standardized decision support in next generation sequencing reports of somatic cancer variants.

Authors:  Rodrigo Dienstmann; Fei Dong; Darrell Borger; Dora Dias-Santagata; Leif W Ellisen; Long P Le; A John Iafrate
Journal:  Mol Oncol       Date:  2014-04-04       Impact factor: 6.603

2.  Personal genomic information management and personalized medicine: challenges, current solutions, and roles of HIM professionals.

Authors:  Amal Alzu'bi; Leming Zhou; Valerie Watzlaf
Journal:  Perspect Health Inf Manag       Date:  2014-04-01

3.  Gene Variant Databases and Sharing: Creating a Global Genomic Variant Database for Personalized Medicine.

Authors:  Lora J H Bean; Madhuri R Hegde
Journal:  Hum Mutat       Date:  2016-03-18       Impact factor: 4.878

  3 in total

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