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Limited evidence that cancer susceptibility regions are preferential targets for somatic mutation

BACKGROUND: Genome wide-association studies have successfully identified several hundred independent loci harboring common cancer susceptibility alleles that are distinct from the more than 110 cancer predisposition genes. The latter are generally characterized by disruptive mutations in coding gene...

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Autores principales: Machiela, Mitchell J., Ho, Brian M., Fisher, Victoria A., Hua, Xing, Chanock, Stephen J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4571124/
https://www.ncbi.nlm.nih.gov/pubmed/26374197
http://dx.doi.org/10.1186/s13059-015-0755-5
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author Machiela, Mitchell J.
Ho, Brian M.
Fisher, Victoria A.
Hua, Xing
Chanock, Stephen J.
author_facet Machiela, Mitchell J.
Ho, Brian M.
Fisher, Victoria A.
Hua, Xing
Chanock, Stephen J.
author_sort Machiela, Mitchell J.
collection PubMed
description BACKGROUND: Genome wide-association studies have successfully identified several hundred independent loci harboring common cancer susceptibility alleles that are distinct from the more than 110 cancer predisposition genes. The latter are generally characterized by disruptive mutations in coding genes that have been established as ‘drivers’ of cancer in large somatic sequencing studies. We set out to determine whether, similarly, common cancer susceptibility loci map to genes that have altered frequencies of mutation. RESULTS: In our analysis of the intervals defined by the cancer susceptibility markers, we observed that cancer susceptibility regions have gene mutation frequencies comparable to background mutation frequencies. Restricting analyses to genes that have been determined to be pleiotropic across cancer types, genes affected by expression quantitative trait loci, or functional genes indicates that most cancer susceptibility genes classified into these subgroups do not display mutation frequencies that deviate from those expected. We observed limited evidence that cancer susceptibility regions that harbor common alleles with small estimated effect sizes are preferential targets for altered somatic mutation frequencies. CONCLUSIONS: Our findings suggest a complex interplay between germline susceptibility and somatic mutation, underscoring the cumulative effect of common variants on redundant pathways as opposed to driver genes. Complex biological pathways and networks likely link these genetic features of carcinogenesis, particularly as they relate to distinct polygenic models for each cancer type.
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spelling pubmed-45711242015-09-17 Limited evidence that cancer susceptibility regions are preferential targets for somatic mutation Machiela, Mitchell J. Ho, Brian M. Fisher, Victoria A. Hua, Xing Chanock, Stephen J. Genome Biol Research BACKGROUND: Genome wide-association studies have successfully identified several hundred independent loci harboring common cancer susceptibility alleles that are distinct from the more than 110 cancer predisposition genes. The latter are generally characterized by disruptive mutations in coding genes that have been established as ‘drivers’ of cancer in large somatic sequencing studies. We set out to determine whether, similarly, common cancer susceptibility loci map to genes that have altered frequencies of mutation. RESULTS: In our analysis of the intervals defined by the cancer susceptibility markers, we observed that cancer susceptibility regions have gene mutation frequencies comparable to background mutation frequencies. Restricting analyses to genes that have been determined to be pleiotropic across cancer types, genes affected by expression quantitative trait loci, or functional genes indicates that most cancer susceptibility genes classified into these subgroups do not display mutation frequencies that deviate from those expected. We observed limited evidence that cancer susceptibility regions that harbor common alleles with small estimated effect sizes are preferential targets for altered somatic mutation frequencies. CONCLUSIONS: Our findings suggest a complex interplay between germline susceptibility and somatic mutation, underscoring the cumulative effect of common variants on redundant pathways as opposed to driver genes. Complex biological pathways and networks likely link these genetic features of carcinogenesis, particularly as they relate to distinct polygenic models for each cancer type. BioMed Central 2015-09-15 2015 /pmc/articles/PMC4571124/ /pubmed/26374197 http://dx.doi.org/10.1186/s13059-015-0755-5 Text en © Machiela et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Machiela, Mitchell J.
Ho, Brian M.
Fisher, Victoria A.
Hua, Xing
Chanock, Stephen J.
Limited evidence that cancer susceptibility regions are preferential targets for somatic mutation
title Limited evidence that cancer susceptibility regions are preferential targets for somatic mutation
title_full Limited evidence that cancer susceptibility regions are preferential targets for somatic mutation
title_fullStr Limited evidence that cancer susceptibility regions are preferential targets for somatic mutation
title_full_unstemmed Limited evidence that cancer susceptibility regions are preferential targets for somatic mutation
title_short Limited evidence that cancer susceptibility regions are preferential targets for somatic mutation
title_sort limited evidence that cancer susceptibility regions are preferential targets for somatic mutation
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4571124/
https://www.ncbi.nlm.nih.gov/pubmed/26374197
http://dx.doi.org/10.1186/s13059-015-0755-5
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