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CanVar: A resource for sharing germline variation in cancer patients

The advent of high-throughput sequencing has accelerated our ability to discover genes predisposing to disease and is transforming clinical genomic sequencing. In both contexts knowledge of the spectrum and frequency of genetic variation in the general population and in disease cohorts is vital to t...

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Autores principales: Chubb, Daniel, Broderick, Peter, Dobbins, Sara E., Houlston, Richard S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000Research 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5200944/
https://www.ncbi.nlm.nih.gov/pubmed/28105316
http://dx.doi.org/10.12688/f1000research.10058.1
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author Chubb, Daniel
Broderick, Peter
Dobbins, Sara E.
Houlston, Richard S.
author_facet Chubb, Daniel
Broderick, Peter
Dobbins, Sara E.
Houlston, Richard S.
author_sort Chubb, Daniel
collection PubMed
description The advent of high-throughput sequencing has accelerated our ability to discover genes predisposing to disease and is transforming clinical genomic sequencing. In both contexts knowledge of the spectrum and frequency of genetic variation in the general population and in disease cohorts is vital to the interpretation of sequencing data. While population level data is becoming increasingly available from publicly accessible sources, as exemplified by The Exome Aggregation Consortium (ExAC), the availability of large-scale disease-specific frequency information is limited. These data are of particular importance to contextualise findings from clinical mutation screens and small gene discovery projects. This is especially true for cancer, which is typified by a number of hereditary predisposition syndromes.  Although mutation frequencies in tumours are available from resources such as Cosmic and The Cancer Genome Atlas, a similar facility for germline variation is lacking. Here we present the Cancer Variation Resource (CanVar) an online database which has been developed using the ExAC framework to provide open access to germline variant frequency data from the sequenced exomes of cancer patients. In its first release, CanVar catalogues the exomes of 1,006 familial early-onset colorectal cancer (CRC) patients sequenced at The Institute of Cancer Research. It is anticipated that CanVar will host data for additional cancers, providing a resource for others studying cancer predisposition and an example of how the research community can utilise the ExAC framework to share sequencing data.
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spelling pubmed-52009442017-01-18 CanVar: A resource for sharing germline variation in cancer patients Chubb, Daniel Broderick, Peter Dobbins, Sara E. Houlston, Richard S. F1000Res Software Tool Article The advent of high-throughput sequencing has accelerated our ability to discover genes predisposing to disease and is transforming clinical genomic sequencing. In both contexts knowledge of the spectrum and frequency of genetic variation in the general population and in disease cohorts is vital to the interpretation of sequencing data. While population level data is becoming increasingly available from publicly accessible sources, as exemplified by The Exome Aggregation Consortium (ExAC), the availability of large-scale disease-specific frequency information is limited. These data are of particular importance to contextualise findings from clinical mutation screens and small gene discovery projects. This is especially true for cancer, which is typified by a number of hereditary predisposition syndromes.  Although mutation frequencies in tumours are available from resources such as Cosmic and The Cancer Genome Atlas, a similar facility for germline variation is lacking. Here we present the Cancer Variation Resource (CanVar) an online database which has been developed using the ExAC framework to provide open access to germline variant frequency data from the sequenced exomes of cancer patients. In its first release, CanVar catalogues the exomes of 1,006 familial early-onset colorectal cancer (CRC) patients sequenced at The Institute of Cancer Research. It is anticipated that CanVar will host data for additional cancers, providing a resource for others studying cancer predisposition and an example of how the research community can utilise the ExAC framework to share sequencing data. F1000Research 2016-12-05 /pmc/articles/PMC5200944/ /pubmed/28105316 http://dx.doi.org/10.12688/f1000research.10058.1 Text en Copyright: © 2016 Chubb D et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software Tool Article
Chubb, Daniel
Broderick, Peter
Dobbins, Sara E.
Houlston, Richard S.
CanVar: A resource for sharing germline variation in cancer patients
title CanVar: A resource for sharing germline variation in cancer patients
title_full CanVar: A resource for sharing germline variation in cancer patients
title_fullStr CanVar: A resource for sharing germline variation in cancer patients
title_full_unstemmed CanVar: A resource for sharing germline variation in cancer patients
title_short CanVar: A resource for sharing germline variation in cancer patients
title_sort canvar: a resource for sharing germline variation in cancer patients
topic Software Tool Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5200944/
https://www.ncbi.nlm.nih.gov/pubmed/28105316
http://dx.doi.org/10.12688/f1000research.10058.1
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