Exploring the Link between the Germline and Somatic Genome in Cancer

doi:10.1158/2159-8290.CD-17-0192

Comment

. 2017 Apr;7(4):354-355.

doi: 10.1158/2159-8290.CD-17-0192.

Exploring the Link between the Germline and Somatic Genome in Cancer

Paul Geeleher¹, R Stephanie Huang²

Affiliations

¹ Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, Illinois.
² Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, Illinois. rhuang@medicine.bsd.uchicago.edu.

PMID: 28373166
PMCID: PMC5404740
DOI: 10.1158/2159-8290.CD-17-0192

Comment

Exploring the Link between the Germline and Somatic Genome in Cancer

Paul Geeleher et al. Cancer Discov. 2017 Apr.

. 2017 Apr;7(4):354-355.

doi: 10.1158/2159-8290.CD-17-0192.

Authors

Paul Geeleher¹, R Stephanie Huang²

Affiliations

¹ Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, Illinois.
² Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, Illinois. rhuang@medicine.bsd.uchicago.edu.

PMID: 28373166
PMCID: PMC5404740
DOI: 10.1158/2159-8290.CD-17-0192

Abstract

<b/> Carter and colleagues propose a systematic analysis of the germline and somatic genome in cancer. They identify interactions that occur between germline and somatic variants. This elucidates the function of the germline genome in the context of cancer risk and development. Cancer Discov; 7(4); 354-5. ©2017 AACRSee related article by Carter et al., p. 410.

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Conflict of interest statement

Conflict of interest

The authors disclose no potential conflicts of interest.

Comment on

Interaction Landscape of Inherited Polymorphisms with Somatic Events in Cancer.
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References

1. Chang CQ, Yesupriya A, Rowell JL, Pimentel CB, Clyne M, Gwinn M, et al. Eur J Hum Genet [Internet] Vol. 22. Nature Publishing Group; 2014. A systematic review of cancer GWAS and candidate gene meta-analyses reveals limited overlap but similar effect sizes; pp. 402–8. [cited 2017 Feb 13] Available from: http://www.nature.com/doifinder/10.1038/ejhg.2013.161. - DOI - PMC - PubMed
1. Kar SP, Beesley J, Amin Al, Olama A, Michailidou K, Tyrer J, Kote-Jarai Zs, et al. Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types. Cancer Discov [Internet] 2016;6:1052–67. [cited 2017 Feb 13] Available from: http://cancerdiscovery.aacrjournals.org/cgi/doi/10.1158/2159-8290.CD-15-.... - DOI - PMC - PubMed
1. Relling MV, Evans WE. Pharmacogenomics in the clinic. Nature [Internet] Nature Research. 2015;526:343–50. [cited 2017 Feb 13] Available from: http://www.nature.com/doifinder/10.1038/nature15817. - DOI - PMC - PubMed
1. Morrison G, Lenkala D, LaCroix B, Ziliak D, Abramson V, Morrow PK, et al. Utility of patient-derived lymphoblastoid cell lines as an ex vivo capecitabine sensitivity prediction model for breast cancer patients. Oncotarget [Internet]. Impact Journals. 2014;7:38359–66. [cited 2017 Feb 13] Available from: http://www.oncotarget.com/abstract/9521. - PMC - PubMed
1. Li Q, Seo J-H, Stranger B, McKenna A, Pe’er I, LaFramboise T, et al. Integrative eQTL-Based Analyses Reveal the Biology of Breast Cancer Risk Loci. Cell [Internet] 2013;152:633–41. [cited 2017 Feb 13] Available from: http://www.ncbi.nlm.nih.gov/pubmed/23374354. - PMC - PubMed

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[1] Chang CQ, Yesupriya A, Rowell JL, Pimentel CB, Clyne M, Gwinn M, et al. Eur J Hum Genet [Internet] Vol. 22. Nature Publishing Group; 2014. A systematic review of cancer GWAS and candidate gene meta-analyses reveals limited overlap but similar effect sizes; pp. 402–8. [cited 2017 Feb 13] Available from: http://www.nature.com/doifinder/10.1038/ejhg.2013.161. - DOI - PMC - PubMed

[2] Chang CQ, Yesupriya A, Rowell JL, Pimentel CB, Clyne M, Gwinn M, et al. Eur J Hum Genet [Internet] Vol. 22. Nature Publishing Group; 2014. A systematic review of cancer GWAS and candidate gene meta-analyses reveals limited overlap but similar effect sizes; pp. 402–8. [cited 2017 Feb 13] Available from: http://www.nature.com/doifinder/10.1038/ejhg.2013.161. - DOI - PMC - PubMed

[3] Kar SP, Beesley J, Amin Al, Olama A, Michailidou K, Tyrer J, Kote-Jarai Zs, et al. Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types. Cancer Discov [Internet] 2016;6:1052–67. [cited 2017 Feb 13] Available from: http://cancerdiscovery.aacrjournals.org/cgi/doi/10.1158/2159-8290.CD-15-.... - DOI - PMC - PubMed

[4] Kar SP, Beesley J, Amin Al, Olama A, Michailidou K, Tyrer J, Kote-Jarai Zs, et al. Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types. Cancer Discov [Internet] 2016;6:1052–67. [cited 2017 Feb 13] Available from: http://cancerdiscovery.aacrjournals.org/cgi/doi/10.1158/2159-8290.CD-15-.... - DOI - PMC - PubMed

[5] Relling MV, Evans WE. Pharmacogenomics in the clinic. Nature [Internet] Nature Research. 2015;526:343–50. [cited 2017 Feb 13] Available from: http://www.nature.com/doifinder/10.1038/nature15817. - DOI - PMC - PubMed

[6] Relling MV, Evans WE. Pharmacogenomics in the clinic. Nature [Internet] Nature Research. 2015;526:343–50. [cited 2017 Feb 13] Available from: http://www.nature.com/doifinder/10.1038/nature15817. - DOI - PMC - PubMed

[7] Morrison G, Lenkala D, LaCroix B, Ziliak D, Abramson V, Morrow PK, et al. Utility of patient-derived lymphoblastoid cell lines as an ex vivo capecitabine sensitivity prediction model for breast cancer patients. Oncotarget [Internet]. Impact Journals. 2014;7:38359–66. [cited 2017 Feb 13] Available from: http://www.oncotarget.com/abstract/9521. - PMC - PubMed

[8] Morrison G, Lenkala D, LaCroix B, Ziliak D, Abramson V, Morrow PK, et al. Utility of patient-derived lymphoblastoid cell lines as an ex vivo capecitabine sensitivity prediction model for breast cancer patients. Oncotarget [Internet]. Impact Journals. 2014;7:38359–66. [cited 2017 Feb 13] Available from: http://www.oncotarget.com/abstract/9521. - PMC - PubMed

[9] Li Q, Seo J-H, Stranger B, McKenna A, Pe’er I, LaFramboise T, et al. Integrative eQTL-Based Analyses Reveal the Biology of Breast Cancer Risk Loci. Cell [Internet] 2013;152:633–41. [cited 2017 Feb 13] Available from: http://www.ncbi.nlm.nih.gov/pubmed/23374354. - PMC - PubMed

[10] Li Q, Seo J-H, Stranger B, McKenna A, Pe’er I, LaFramboise T, et al. Integrative eQTL-Based Analyses Reveal the Biology of Breast Cancer Risk Loci. Cell [Internet] 2013;152:633–41. [cited 2017 Feb 13] Available from: http://www.ncbi.nlm.nih.gov/pubmed/23374354. - PMC - PubMed

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Exploring the Link between the Germline and Somatic Genome in Cancer

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Exploring the Link between the Germline and Somatic Genome in Cancer

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