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Evaluation of Association of HNF1B Variants with Diverse Cancers: Collaborative Analysis of Data from 19 Genome-Wide Association Studies

BACKGROUND: Genome-wide association studies have found type 2 diabetes-associated variants in the HNF1B gene to exhibit reciprocal associations with prostate cancer risk. We aimed to identify whether these variants may have an effect on cancer risk in general versus a specific effect on prostate can...

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Autores principales: Elliott, Katherine S., Zeggini, Eleftheria, McCarthy, Mark I., Gudmundsson, Julius, Sulem, Patrick, Stacey, Simon N., Thorlacius, Steinunn, Amundadottir, Laufey, Grönberg, Henrik, Xu, Jianfeng, Gaborieau, Valerie, Eeles, Rosalind A., Neal, David E., Donovan, Jenny L., Hamdy, Freddie C., Muir, Kenneth, Hwang, Shih-Jen, Spitz, Margaret R., Zanke, Brent, Carvajal-Carmona, Luis, Brown, Kevin M., Hayward, Nicholas K., Macgregor, Stuart, Tomlinson, Ian P. M., Lemire, Mathieu, Amos, Christopher I., Murabito, Joanne M., Isaacs, William B., Easton, Douglas F., Brennan, Paul, Barkardottir, Rosa B., Gudbjartsson, Daniel F., Rafnar, Thorunn, Hunter, David J., Chanock, Stephen J., Stefansson, Kari, Ioannidis, John P. A.
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2878330/
https://www.ncbi.nlm.nih.gov/pubmed/20526366
http://dx.doi.org/10.1371/journal.pone.0010858
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author Elliott, Katherine S.
Zeggini, Eleftheria
McCarthy, Mark I.
Gudmundsson, Julius
Sulem, Patrick
Stacey, Simon N.
Thorlacius, Steinunn
Amundadottir, Laufey
Grönberg, Henrik
Xu, Jianfeng
Gaborieau, Valerie
Eeles, Rosalind A.
Neal, David E.
Donovan, Jenny L.
Hamdy, Freddie C.
Muir, Kenneth
Hwang, Shih-Jen
Spitz, Margaret R.
Zanke, Brent
Carvajal-Carmona, Luis
Brown, Kevin M.
Hayward, Nicholas K.
Macgregor, Stuart
Tomlinson, Ian P. M.
Lemire, Mathieu
Amos, Christopher I.
Murabito, Joanne M.
Isaacs, William B.
Easton, Douglas F.
Brennan, Paul
Barkardottir, Rosa B.
Gudbjartsson, Daniel F.
Rafnar, Thorunn
Hunter, David J.
Chanock, Stephen J.
Stefansson, Kari
Ioannidis, John P. A.
author_facet Elliott, Katherine S.
Zeggini, Eleftheria
McCarthy, Mark I.
Gudmundsson, Julius
Sulem, Patrick
Stacey, Simon N.
Thorlacius, Steinunn
Amundadottir, Laufey
Grönberg, Henrik
Xu, Jianfeng
Gaborieau, Valerie
Eeles, Rosalind A.
Neal, David E.
Donovan, Jenny L.
Hamdy, Freddie C.
Muir, Kenneth
Hwang, Shih-Jen
Spitz, Margaret R.
Zanke, Brent
Carvajal-Carmona, Luis
Brown, Kevin M.
Hayward, Nicholas K.
Macgregor, Stuart
Tomlinson, Ian P. M.
Lemire, Mathieu
Amos, Christopher I.
Murabito, Joanne M.
Isaacs, William B.
Easton, Douglas F.
Brennan, Paul
Barkardottir, Rosa B.
Gudbjartsson, Daniel F.
Rafnar, Thorunn
Hunter, David J.
Chanock, Stephen J.
Stefansson, Kari
Ioannidis, John P. A.
author_sort Elliott, Katherine S.
collection PubMed
description BACKGROUND: Genome-wide association studies have found type 2 diabetes-associated variants in the HNF1B gene to exhibit reciprocal associations with prostate cancer risk. We aimed to identify whether these variants may have an effect on cancer risk in general versus a specific effect on prostate cancer only. METHODOLOGY/PRINCIPAL FINDINGS: In a collaborative analysis, we collected data from GWAS of cancer phenotypes for the frequently reported variants of HNF1B, rs4430796 and rs7501939, which are in linkage disequilibrium (r(2) = 0.76, HapMap CEU). Overall, the analysis included 16 datasets on rs4430796 with 19,640 cancer cases and 21,929 controls; and 21 datasets on rs7501939 with 26,923 cases and 49,085 controls. Malignancies other than prostate cancer included colorectal, breast, lung and pancreatic cancers, and melanoma. Meta-analysis showed large between-dataset heterogeneity that was driven by different effects in prostate cancer and other cancers. The per-T2D-risk-allele odds ratios (95% confidence intervals) for rs4430796 were 0.79 (0.76, 0.83)] per G allele for prostate cancer (p<10(−15) for both); and 1.03 (0.99, 1.07) for all other cancers. Similarly for rs7501939 the per-T2D-risk-allele odds ratios (95% confidence intervals) were 0.80 (0.77, 0.83) per T allele for prostate cancer (p<10(−15) for both); and 1.00 (0.97, 1.04) for all other cancers. No malignancy other than prostate cancer had a nominally statistically significant association. CONCLUSIONS/SIGNIFICANCE: The examined HNF1B variants have a highly specific effect on prostate cancer risk with no apparent association with any of the other studied cancer types.
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spelling pubmed-28783302010-06-04 Evaluation of Association of HNF1B Variants with Diverse Cancers: Collaborative Analysis of Data from 19 Genome-Wide Association Studies Elliott, Katherine S. Zeggini, Eleftheria McCarthy, Mark I. Gudmundsson, Julius Sulem, Patrick Stacey, Simon N. Thorlacius, Steinunn Amundadottir, Laufey Grönberg, Henrik Xu, Jianfeng Gaborieau, Valerie Eeles, Rosalind A. Neal, David E. Donovan, Jenny L. Hamdy, Freddie C. Muir, Kenneth Hwang, Shih-Jen Spitz, Margaret R. Zanke, Brent Carvajal-Carmona, Luis Brown, Kevin M. Hayward, Nicholas K. Macgregor, Stuart Tomlinson, Ian P. M. Lemire, Mathieu Amos, Christopher I. Murabito, Joanne M. Isaacs, William B. Easton, Douglas F. Brennan, Paul Barkardottir, Rosa B. Gudbjartsson, Daniel F. Rafnar, Thorunn Hunter, David J. Chanock, Stephen J. Stefansson, Kari Ioannidis, John P. A. PLoS One Research Article BACKGROUND: Genome-wide association studies have found type 2 diabetes-associated variants in the HNF1B gene to exhibit reciprocal associations with prostate cancer risk. We aimed to identify whether these variants may have an effect on cancer risk in general versus a specific effect on prostate cancer only. METHODOLOGY/PRINCIPAL FINDINGS: In a collaborative analysis, we collected data from GWAS of cancer phenotypes for the frequently reported variants of HNF1B, rs4430796 and rs7501939, which are in linkage disequilibrium (r(2) = 0.76, HapMap CEU). Overall, the analysis included 16 datasets on rs4430796 with 19,640 cancer cases and 21,929 controls; and 21 datasets on rs7501939 with 26,923 cases and 49,085 controls. Malignancies other than prostate cancer included colorectal, breast, lung and pancreatic cancers, and melanoma. Meta-analysis showed large between-dataset heterogeneity that was driven by different effects in prostate cancer and other cancers. The per-T2D-risk-allele odds ratios (95% confidence intervals) for rs4430796 were 0.79 (0.76, 0.83)] per G allele for prostate cancer (p<10(−15) for both); and 1.03 (0.99, 1.07) for all other cancers. Similarly for rs7501939 the per-T2D-risk-allele odds ratios (95% confidence intervals) were 0.80 (0.77, 0.83) per T allele for prostate cancer (p<10(−15) for both); and 1.00 (0.97, 1.04) for all other cancers. No malignancy other than prostate cancer had a nominally statistically significant association. CONCLUSIONS/SIGNIFICANCE: The examined HNF1B variants have a highly specific effect on prostate cancer risk with no apparent association with any of the other studied cancer types. Public Library of Science 2010-05-28 /pmc/articles/PMC2878330/ /pubmed/20526366 http://dx.doi.org/10.1371/journal.pone.0010858 Text en Elliott et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Elliott, Katherine S.
Zeggini, Eleftheria
McCarthy, Mark I.
Gudmundsson, Julius
Sulem, Patrick
Stacey, Simon N.
Thorlacius, Steinunn
Amundadottir, Laufey
Grönberg, Henrik
Xu, Jianfeng
Gaborieau, Valerie
Eeles, Rosalind A.
Neal, David E.
Donovan, Jenny L.
Hamdy, Freddie C.
Muir, Kenneth
Hwang, Shih-Jen
Spitz, Margaret R.
Zanke, Brent
Carvajal-Carmona, Luis
Brown, Kevin M.
Hayward, Nicholas K.
Macgregor, Stuart
Tomlinson, Ian P. M.
Lemire, Mathieu
Amos, Christopher I.
Murabito, Joanne M.
Isaacs, William B.
Easton, Douglas F.
Brennan, Paul
Barkardottir, Rosa B.
Gudbjartsson, Daniel F.
Rafnar, Thorunn
Hunter, David J.
Chanock, Stephen J.
Stefansson, Kari
Ioannidis, John P. A.
Evaluation of Association of HNF1B Variants with Diverse Cancers: Collaborative Analysis of Data from 19 Genome-Wide Association Studies
title Evaluation of Association of HNF1B Variants with Diverse Cancers: Collaborative Analysis of Data from 19 Genome-Wide Association Studies
title_full Evaluation of Association of HNF1B Variants with Diverse Cancers: Collaborative Analysis of Data from 19 Genome-Wide Association Studies
title_fullStr Evaluation of Association of HNF1B Variants with Diverse Cancers: Collaborative Analysis of Data from 19 Genome-Wide Association Studies
title_full_unstemmed Evaluation of Association of HNF1B Variants with Diverse Cancers: Collaborative Analysis of Data from 19 Genome-Wide Association Studies
title_short Evaluation of Association of HNF1B Variants with Diverse Cancers: Collaborative Analysis of Data from 19 Genome-Wide Association Studies
title_sort evaluation of association of hnf1b variants with diverse cancers: collaborative analysis of data from 19 genome-wide association studies
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2878330/
https://www.ncbi.nlm.nih.gov/pubmed/20526366
http://dx.doi.org/10.1371/journal.pone.0010858
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