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Genome-wide association study identifies tumor anatomical site-specific risk variants for colorectal cancer survival
Identification of new genetic markers may improve the prediction of colorectal cancer prognosis. Our objective was to examine genome-wide associations of germline genetic variants with disease-specific survival in an analysis of 16,964 cases of colorectal cancer. We analyzed genotype and colorectal...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741984/ https://www.ncbi.nlm.nih.gov/pubmed/34996992 http://dx.doi.org/10.1038/s41598-021-03945-x |
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author | Labadie, Julia D. Savas, Sevtap Harrison, Tabitha A. Banbury, Barb Huang, Yuhan Buchanan, Daniel D. Campbell, Peter T. Gallinger, Steven J. Giles, Graham G. Gunter, Marc J. Hoffmeister, Michael Hsu, Li Jenkins, Mark A. Lin, Yi Ogino, Shuji Phipps, Amanda I. Slattery, Martha L. Steinfelder, Robert S. Sun, Wei Van Guelpen, Bethany Hua, Xinwei Figuieredo, Jane C. Pai, Rish K. Nassir, Rami Qi, Lihong Chan, Andrew T. Peters, Ulrike Newcomb, Polly A. |
author_facet | Labadie, Julia D. Savas, Sevtap Harrison, Tabitha A. Banbury, Barb Huang, Yuhan Buchanan, Daniel D. Campbell, Peter T. Gallinger, Steven J. Giles, Graham G. Gunter, Marc J. Hoffmeister, Michael Hsu, Li Jenkins, Mark A. Lin, Yi Ogino, Shuji Phipps, Amanda I. Slattery, Martha L. Steinfelder, Robert S. Sun, Wei Van Guelpen, Bethany Hua, Xinwei Figuieredo, Jane C. Pai, Rish K. Nassir, Rami Qi, Lihong Chan, Andrew T. Peters, Ulrike Newcomb, Polly A. |
author_sort | Labadie, Julia D. |
collection | PubMed |
description | Identification of new genetic markers may improve the prediction of colorectal cancer prognosis. Our objective was to examine genome-wide associations of germline genetic variants with disease-specific survival in an analysis of 16,964 cases of colorectal cancer. We analyzed genotype and colorectal cancer-specific survival data from a consortium of 15 studies. Approximately 7.5 million SNPs were examined under the log-additive model using Cox proportional hazards models, adjusting for clinical factors and principal components. Additionally, we ran secondary analyses stratifying by tumor site and disease stage. We used a genome-wide p-value threshold of 5 × 10(–8) to assess statistical significance. No variants were statistically significantly associated with disease-specific survival in the full case analysis or in the stage-stratified analyses. Three SNPs were statistically significantly associated with disease-specific survival for cases with tumors located in the distal colon (rs698022, HR = 1.48, CI 1.30–1.69, p = 8.47 × 10(–9)) and the proximal colon (rs189655236, HR = 2.14, 95% CI 1.65–2.77, p = 9.19 × 10(–9) and rs144717887, HR = 2.01, 95% CI 1.57–2.58, p = 3.14 × 10(–8)), whereas no associations were detected for rectal tumors. Findings from this large genome-wide association study highlight the potential for anatomical-site-stratified genome-wide studies to identify germline genetic risk variants associated with colorectal cancer-specific survival. Larger sample sizes and further replication efforts are needed to more fully interpret these findings. |
format | Online Article Text |
id | pubmed-8741984 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-87419842022-01-10 Genome-wide association study identifies tumor anatomical site-specific risk variants for colorectal cancer survival Labadie, Julia D. Savas, Sevtap Harrison, Tabitha A. Banbury, Barb Huang, Yuhan Buchanan, Daniel D. Campbell, Peter T. Gallinger, Steven J. Giles, Graham G. Gunter, Marc J. Hoffmeister, Michael Hsu, Li Jenkins, Mark A. Lin, Yi Ogino, Shuji Phipps, Amanda I. Slattery, Martha L. Steinfelder, Robert S. Sun, Wei Van Guelpen, Bethany Hua, Xinwei Figuieredo, Jane C. Pai, Rish K. Nassir, Rami Qi, Lihong Chan, Andrew T. Peters, Ulrike Newcomb, Polly A. Sci Rep Article Identification of new genetic markers may improve the prediction of colorectal cancer prognosis. Our objective was to examine genome-wide associations of germline genetic variants with disease-specific survival in an analysis of 16,964 cases of colorectal cancer. We analyzed genotype and colorectal cancer-specific survival data from a consortium of 15 studies. Approximately 7.5 million SNPs were examined under the log-additive model using Cox proportional hazards models, adjusting for clinical factors and principal components. Additionally, we ran secondary analyses stratifying by tumor site and disease stage. We used a genome-wide p-value threshold of 5 × 10(–8) to assess statistical significance. No variants were statistically significantly associated with disease-specific survival in the full case analysis or in the stage-stratified analyses. Three SNPs were statistically significantly associated with disease-specific survival for cases with tumors located in the distal colon (rs698022, HR = 1.48, CI 1.30–1.69, p = 8.47 × 10(–9)) and the proximal colon (rs189655236, HR = 2.14, 95% CI 1.65–2.77, p = 9.19 × 10(–9) and rs144717887, HR = 2.01, 95% CI 1.57–2.58, p = 3.14 × 10(–8)), whereas no associations were detected for rectal tumors. Findings from this large genome-wide association study highlight the potential for anatomical-site-stratified genome-wide studies to identify germline genetic risk variants associated with colorectal cancer-specific survival. Larger sample sizes and further replication efforts are needed to more fully interpret these findings. Nature Publishing Group UK 2022-01-07 /pmc/articles/PMC8741984/ /pubmed/34996992 http://dx.doi.org/10.1038/s41598-021-03945-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Labadie, Julia D. Savas, Sevtap Harrison, Tabitha A. Banbury, Barb Huang, Yuhan Buchanan, Daniel D. Campbell, Peter T. Gallinger, Steven J. Giles, Graham G. Gunter, Marc J. Hoffmeister, Michael Hsu, Li Jenkins, Mark A. Lin, Yi Ogino, Shuji Phipps, Amanda I. Slattery, Martha L. Steinfelder, Robert S. Sun, Wei Van Guelpen, Bethany Hua, Xinwei Figuieredo, Jane C. Pai, Rish K. Nassir, Rami Qi, Lihong Chan, Andrew T. Peters, Ulrike Newcomb, Polly A. Genome-wide association study identifies tumor anatomical site-specific risk variants for colorectal cancer survival |
title | Genome-wide association study identifies tumor anatomical site-specific risk variants for colorectal cancer survival |
title_full | Genome-wide association study identifies tumor anatomical site-specific risk variants for colorectal cancer survival |
title_fullStr | Genome-wide association study identifies tumor anatomical site-specific risk variants for colorectal cancer survival |
title_full_unstemmed | Genome-wide association study identifies tumor anatomical site-specific risk variants for colorectal cancer survival |
title_short | Genome-wide association study identifies tumor anatomical site-specific risk variants for colorectal cancer survival |
title_sort | genome-wide association study identifies tumor anatomical site-specific risk variants for colorectal cancer survival |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741984/ https://www.ncbi.nlm.nih.gov/pubmed/34996992 http://dx.doi.org/10.1038/s41598-021-03945-x |
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