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An Analysis of Growth, Differentiation and Apoptosis Genes with Risk of Renal Cancer
We conducted a case-control study of renal cancer (987 cases and 1298 controls) in Central and Eastern Europe and analyzed genomic DNA for 319 tagging single-nucleotide polymorphisms (SNPs) in 21 genes involved in cellular growth, differentiation and apoptosis using an Illumina Oligo Pool All (OPA)....
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Public Library of Science
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2656573/ https://www.ncbi.nlm.nih.gov/pubmed/19603096 http://dx.doi.org/10.1371/journal.pone.0004895 |
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author | Dong, Linda M. Brennan, Paul Karami, Sara Hung, Rayjean J. Menashe, Idan Berndt, Sonja I. Yeager, Meredith Chanock, Stephen Zaridze, David Matveev, Vsevolod Janout, Vladimir Kollarova, Hellena Bencko, Vladimir Schwartz, Kendra Davis, Faith Navratilova, Marie Szeszenia-Dabrowska, Neonila Mates, Dana Colt, Joanne S. Holcatova, Ivana Boffetta, Paolo Rothman, Nathaniel Chow, Wong-Ho Rosenberg, Philip S. Moore, Lee E. |
author_facet | Dong, Linda M. Brennan, Paul Karami, Sara Hung, Rayjean J. Menashe, Idan Berndt, Sonja I. Yeager, Meredith Chanock, Stephen Zaridze, David Matveev, Vsevolod Janout, Vladimir Kollarova, Hellena Bencko, Vladimir Schwartz, Kendra Davis, Faith Navratilova, Marie Szeszenia-Dabrowska, Neonila Mates, Dana Colt, Joanne S. Holcatova, Ivana Boffetta, Paolo Rothman, Nathaniel Chow, Wong-Ho Rosenberg, Philip S. Moore, Lee E. |
author_sort | Dong, Linda M. |
collection | PubMed |
description | We conducted a case-control study of renal cancer (987 cases and 1298 controls) in Central and Eastern Europe and analyzed genomic DNA for 319 tagging single-nucleotide polymorphisms (SNPs) in 21 genes involved in cellular growth, differentiation and apoptosis using an Illumina Oligo Pool All (OPA). A haplotype-based method (sliding window analysis of consecutive SNPs) was used to identify chromosome regions of interest that remained significant at a false discovery rate of 10%. Subsequently, risk estimates were generated for regions with a high level of signal and individual SNPs by unconditional logistic regression adjusting for age, gender and study center. Three regions containing genes associated with renal cancer were identified: caspase 1/5/4/12(CASP 1/5/4/12), epidermal growth factor receptor (EGFR), and insulin-like growth factor binding protein-3 (IGFBP3). We observed that individuals with CASP1/5/4/12 haplotype (spanning area upstream of CASP1 through exon 2 of CASP5) GGGCTCAGT were at higher risk of renal cancer compared to individuals with the most common haplotype (OR:1.40, 95% CI:1.10–1.78, p-value = 0.007). Analysis of EGFR revealed three strong signals within intron 1, particularly a region centered around rs759158 with a global p = 0.006 (GGG: OR:1.26, 95% CI:1.04–1.53 and ATG: OR:1.55, 95% CI:1.14–2.11). A region in IGFBP3 was also associated with increased risk (global p = 0.04). In addition, the number of statistically significant (p-value<0.05) SNP associations observed within these three genes was higher than would be expected by chance on a gene level. To our knowledge, this is the first study to evaluate these genes in relation to renal cancer and there is need to replicate and extend our findings. The specific regions associated with risk may have particular relevance for gene function and/or carcinogenesis. In conclusion, our evaluation has identified common genetic variants in CASP1, CASP5, EGFR, and IGFBP3 that could be associated with renal cancer risk. |
format | Text |
id | pubmed-2656573 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-26565732009-03-24 An Analysis of Growth, Differentiation and Apoptosis Genes with Risk of Renal Cancer Dong, Linda M. Brennan, Paul Karami, Sara Hung, Rayjean J. Menashe, Idan Berndt, Sonja I. Yeager, Meredith Chanock, Stephen Zaridze, David Matveev, Vsevolod Janout, Vladimir Kollarova, Hellena Bencko, Vladimir Schwartz, Kendra Davis, Faith Navratilova, Marie Szeszenia-Dabrowska, Neonila Mates, Dana Colt, Joanne S. Holcatova, Ivana Boffetta, Paolo Rothman, Nathaniel Chow, Wong-Ho Rosenberg, Philip S. Moore, Lee E. PLoS One Research Article We conducted a case-control study of renal cancer (987 cases and 1298 controls) in Central and Eastern Europe and analyzed genomic DNA for 319 tagging single-nucleotide polymorphisms (SNPs) in 21 genes involved in cellular growth, differentiation and apoptosis using an Illumina Oligo Pool All (OPA). A haplotype-based method (sliding window analysis of consecutive SNPs) was used to identify chromosome regions of interest that remained significant at a false discovery rate of 10%. Subsequently, risk estimates were generated for regions with a high level of signal and individual SNPs by unconditional logistic regression adjusting for age, gender and study center. Three regions containing genes associated with renal cancer were identified: caspase 1/5/4/12(CASP 1/5/4/12), epidermal growth factor receptor (EGFR), and insulin-like growth factor binding protein-3 (IGFBP3). We observed that individuals with CASP1/5/4/12 haplotype (spanning area upstream of CASP1 through exon 2 of CASP5) GGGCTCAGT were at higher risk of renal cancer compared to individuals with the most common haplotype (OR:1.40, 95% CI:1.10–1.78, p-value = 0.007). Analysis of EGFR revealed three strong signals within intron 1, particularly a region centered around rs759158 with a global p = 0.006 (GGG: OR:1.26, 95% CI:1.04–1.53 and ATG: OR:1.55, 95% CI:1.14–2.11). A region in IGFBP3 was also associated with increased risk (global p = 0.04). In addition, the number of statistically significant (p-value<0.05) SNP associations observed within these three genes was higher than would be expected by chance on a gene level. To our knowledge, this is the first study to evaluate these genes in relation to renal cancer and there is need to replicate and extend our findings. The specific regions associated with risk may have particular relevance for gene function and/or carcinogenesis. In conclusion, our evaluation has identified common genetic variants in CASP1, CASP5, EGFR, and IGFBP3 that could be associated with renal cancer risk. Public Library of Science 2009-03-24 /pmc/articles/PMC2656573/ /pubmed/19603096 http://dx.doi.org/10.1371/journal.pone.0004895 Text en This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. |
spellingShingle | Research Article Dong, Linda M. Brennan, Paul Karami, Sara Hung, Rayjean J. Menashe, Idan Berndt, Sonja I. Yeager, Meredith Chanock, Stephen Zaridze, David Matveev, Vsevolod Janout, Vladimir Kollarova, Hellena Bencko, Vladimir Schwartz, Kendra Davis, Faith Navratilova, Marie Szeszenia-Dabrowska, Neonila Mates, Dana Colt, Joanne S. Holcatova, Ivana Boffetta, Paolo Rothman, Nathaniel Chow, Wong-Ho Rosenberg, Philip S. Moore, Lee E. An Analysis of Growth, Differentiation and Apoptosis Genes with Risk of Renal Cancer |
title | An Analysis of Growth, Differentiation and Apoptosis Genes with Risk of Renal Cancer |
title_full | An Analysis of Growth, Differentiation and Apoptosis Genes with Risk of Renal Cancer |
title_fullStr | An Analysis of Growth, Differentiation and Apoptosis Genes with Risk of Renal Cancer |
title_full_unstemmed | An Analysis of Growth, Differentiation and Apoptosis Genes with Risk of Renal Cancer |
title_short | An Analysis of Growth, Differentiation and Apoptosis Genes with Risk of Renal Cancer |
title_sort | analysis of growth, differentiation and apoptosis genes with risk of renal cancer |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2656573/ https://www.ncbi.nlm.nih.gov/pubmed/19603096 http://dx.doi.org/10.1371/journal.pone.0004895 |
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