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Pooled Sample-Based GWAS: A Cost-Effective Alternative for Identifying Colorectal and Prostate Cancer Risk Variants in the Polish Population
BACKGROUND: Prostate cancer (PCa) and colorectal cancer (CRC) are the most commonly diagnosed cancers and cancer-related causes of death in Poland. To date, numerous single nucleotide polymorphisms (SNPs) associated with susceptibility to both cancer types have been identified, but their effect on d...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3331859/ https://www.ncbi.nlm.nih.gov/pubmed/22532847 http://dx.doi.org/10.1371/journal.pone.0035307 |
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author | Gaj, Pawel Maryan, Natalia Hennig, Ewa E. Ledwon, Joanna K. Paziewska, Agnieszka Majewska, Aneta Karczmarski, Jakub Nesteruk, Monika Wolski, Jan Antoniewicz, Artur A. Przytulski, Krzysztof Rutkowski, Andrzej Teumer, Alexander Homuth, Georg Starzyńska, Teresa Regula, Jaroslaw Ostrowski, Jerzy |
author_facet | Gaj, Pawel Maryan, Natalia Hennig, Ewa E. Ledwon, Joanna K. Paziewska, Agnieszka Majewska, Aneta Karczmarski, Jakub Nesteruk, Monika Wolski, Jan Antoniewicz, Artur A. Przytulski, Krzysztof Rutkowski, Andrzej Teumer, Alexander Homuth, Georg Starzyńska, Teresa Regula, Jaroslaw Ostrowski, Jerzy |
author_sort | Gaj, Pawel |
collection | PubMed |
description | BACKGROUND: Prostate cancer (PCa) and colorectal cancer (CRC) are the most commonly diagnosed cancers and cancer-related causes of death in Poland. To date, numerous single nucleotide polymorphisms (SNPs) associated with susceptibility to both cancer types have been identified, but their effect on disease risk may differ among populations. METHODS: To identify new SNPs associated with PCa and CRC in the Polish population, a genome-wide association study (GWAS) was performed using DNA sample pools on Affymetrix Genome-Wide Human SNP 6.0 arrays. A total of 135 PCa patients and 270 healthy men (PCa sub-study) and 525 patients with adenoma (AD), 630 patients with CRC and 690 controls (AD/CRC sub-study) were included in the analysis. Allele frequency distributions were compared with t-tests and χ(2)-tests. Only those significantly associated SNPs with a proxy SNP (p<0.001; distance of 100 kb; r(2)>0.7) were selected. GWAS marker selection was conducted using PLINK. The study was replicated using extended cohorts of patients and controls. The association with previously reported PCa and CRC susceptibility variants was also examined. Individual patients were genotyped using TaqMan SNP Genotyping Assays. RESULTS: The GWAS selected six and 24 new candidate SNPs associated with PCa and CRC susceptibility, respectively. In the replication study, 17 of these associations were confirmed as significant in additive model of inheritance. Seven of them remained significant after correction for multiple hypothesis testing. Additionally, 17 previously reported risk variants have been identified, five of which remained significant after correction. CONCLUSION: Pooled-DNA GWAS enabled the identification of new susceptibility loci for CRC in the Polish population. Previously reported CRC and PCa predisposition variants were also identified, validating the global nature of their associations. Further independent replication studies are required to confirm significance of the newly uncovered candidate susceptibility loci. |
format | Online Article Text |
id | pubmed-3331859 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-33318592012-04-24 Pooled Sample-Based GWAS: A Cost-Effective Alternative for Identifying Colorectal and Prostate Cancer Risk Variants in the Polish Population Gaj, Pawel Maryan, Natalia Hennig, Ewa E. Ledwon, Joanna K. Paziewska, Agnieszka Majewska, Aneta Karczmarski, Jakub Nesteruk, Monika Wolski, Jan Antoniewicz, Artur A. Przytulski, Krzysztof Rutkowski, Andrzej Teumer, Alexander Homuth, Georg Starzyńska, Teresa Regula, Jaroslaw Ostrowski, Jerzy PLoS One Research Article BACKGROUND: Prostate cancer (PCa) and colorectal cancer (CRC) are the most commonly diagnosed cancers and cancer-related causes of death in Poland. To date, numerous single nucleotide polymorphisms (SNPs) associated with susceptibility to both cancer types have been identified, but their effect on disease risk may differ among populations. METHODS: To identify new SNPs associated with PCa and CRC in the Polish population, a genome-wide association study (GWAS) was performed using DNA sample pools on Affymetrix Genome-Wide Human SNP 6.0 arrays. A total of 135 PCa patients and 270 healthy men (PCa sub-study) and 525 patients with adenoma (AD), 630 patients with CRC and 690 controls (AD/CRC sub-study) were included in the analysis. Allele frequency distributions were compared with t-tests and χ(2)-tests. Only those significantly associated SNPs with a proxy SNP (p<0.001; distance of 100 kb; r(2)>0.7) were selected. GWAS marker selection was conducted using PLINK. The study was replicated using extended cohorts of patients and controls. The association with previously reported PCa and CRC susceptibility variants was also examined. Individual patients were genotyped using TaqMan SNP Genotyping Assays. RESULTS: The GWAS selected six and 24 new candidate SNPs associated with PCa and CRC susceptibility, respectively. In the replication study, 17 of these associations were confirmed as significant in additive model of inheritance. Seven of them remained significant after correction for multiple hypothesis testing. Additionally, 17 previously reported risk variants have been identified, five of which remained significant after correction. CONCLUSION: Pooled-DNA GWAS enabled the identification of new susceptibility loci for CRC in the Polish population. Previously reported CRC and PCa predisposition variants were also identified, validating the global nature of their associations. Further independent replication studies are required to confirm significance of the newly uncovered candidate susceptibility loci. Public Library of Science 2012-04-19 /pmc/articles/PMC3331859/ /pubmed/22532847 http://dx.doi.org/10.1371/journal.pone.0035307 Text en Gaj 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 Gaj, Pawel Maryan, Natalia Hennig, Ewa E. Ledwon, Joanna K. Paziewska, Agnieszka Majewska, Aneta Karczmarski, Jakub Nesteruk, Monika Wolski, Jan Antoniewicz, Artur A. Przytulski, Krzysztof Rutkowski, Andrzej Teumer, Alexander Homuth, Georg Starzyńska, Teresa Regula, Jaroslaw Ostrowski, Jerzy Pooled Sample-Based GWAS: A Cost-Effective Alternative for Identifying Colorectal and Prostate Cancer Risk Variants in the Polish Population |
title | Pooled Sample-Based GWAS: A Cost-Effective Alternative for Identifying Colorectal and Prostate Cancer Risk Variants in the Polish Population |
title_full | Pooled Sample-Based GWAS: A Cost-Effective Alternative for Identifying Colorectal and Prostate Cancer Risk Variants in the Polish Population |
title_fullStr | Pooled Sample-Based GWAS: A Cost-Effective Alternative for Identifying Colorectal and Prostate Cancer Risk Variants in the Polish Population |
title_full_unstemmed | Pooled Sample-Based GWAS: A Cost-Effective Alternative for Identifying Colorectal and Prostate Cancer Risk Variants in the Polish Population |
title_short | Pooled Sample-Based GWAS: A Cost-Effective Alternative for Identifying Colorectal and Prostate Cancer Risk Variants in the Polish Population |
title_sort | pooled sample-based gwas: a cost-effective alternative for identifying colorectal and prostate cancer risk variants in the polish population |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3331859/ https://www.ncbi.nlm.nih.gov/pubmed/22532847 http://dx.doi.org/10.1371/journal.pone.0035307 |
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