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Application of a Combination of a Knowledge-Based Algorithm and 2-Stage Screening to Hypothesis-Free Genomic Data on Irinotecan-Treated Patients for Identification of a Candidate Single Nucleotide Polymorphism Related to an Adverse Effect
Interindividual variation in a drug response among patients is known to cause serious problems in medicine. Genomic information has been proposed as the basis for “personalized” health care. The genome-wide association study (GWAS) is a powerful technique for examining single nucleotide polymorphism...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4134257/ https://www.ncbi.nlm.nih.gov/pubmed/25127363 http://dx.doi.org/10.1371/journal.pone.0105160 |
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author | Takahashi, Hiro Sai, Kimie Saito, Yoshiro Kaniwa, Nahoko Matsumura, Yasuhiro Hamaguchi, Tetsuya Shimada, Yasuhiro Ohtsu, Atsushi Yoshino, Takayuki Doi, Toshihiko Okuda, Haruhiro Ichinohe, Risa Takahashi, Anna Doi, Ayano Odaka, Yoko Okuyama, Misuzu Saijo, Nagahiro Sawada, Jun-ichi Sakamoto, Hiromi Yoshida, Teruhiko |
author_facet | Takahashi, Hiro Sai, Kimie Saito, Yoshiro Kaniwa, Nahoko Matsumura, Yasuhiro Hamaguchi, Tetsuya Shimada, Yasuhiro Ohtsu, Atsushi Yoshino, Takayuki Doi, Toshihiko Okuda, Haruhiro Ichinohe, Risa Takahashi, Anna Doi, Ayano Odaka, Yoko Okuyama, Misuzu Saijo, Nagahiro Sawada, Jun-ichi Sakamoto, Hiromi Yoshida, Teruhiko |
author_sort | Takahashi, Hiro |
collection | PubMed |
description | Interindividual variation in a drug response among patients is known to cause serious problems in medicine. Genomic information has been proposed as the basis for “personalized” health care. The genome-wide association study (GWAS) is a powerful technique for examining single nucleotide polymorphisms (SNPs) and their relationship with drug response variation; however, when using only GWAS, it often happens that no useful SNPs are identified due to multiple testing problems. Therefore, in a previous study, we proposed a combined method consisting of a knowledge-based algorithm, 2 stages of screening, and a permutation test for identifying SNPs. In the present study, we applied this method to a pharmacogenomics study where 109,365 SNPs were genotyped using Illumina Human-1 BeadChip in 168 cancer patients treated with irinotecan chemotherapy. We identified the SNP rs9351963 in potassium voltage-gated channel subfamily KQT member 5 (KCNQ5) as a candidate factor related to incidence of irinotecan-induced diarrhea. The p value for rs9351963 was 3.31×10(−5) in Fisher's exact test and 0.0289 in the permutation test (when multiple testing problems were corrected). Additionally, rs9351963 was clearly superior to the clinical parameters and the model involving rs9351963 showed sensitivity of 77.8% and specificity of 57.6% in the evaluation by means of logistic regression. Recent studies showed that KCNQ4 and KCNQ5 genes encode members of the M channel expressed in gastrointestinal smooth muscle and suggested that these genes are associated with irritable bowel syndrome and similar peristalsis diseases. These results suggest that rs9351963 in KCNQ5 is a possible predictive factor of incidence of diarrhea in cancer patients treated with irinotecan chemotherapy and for selecting chemotherapy regimens, such as irinotecan alone or a combination of irinotecan with a KCNQ5 opener. Nonetheless, clinical importance of rs9351963 should be further elucidated. |
format | Online Article Text |
id | pubmed-4134257 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-41342572014-08-19 Application of a Combination of a Knowledge-Based Algorithm and 2-Stage Screening to Hypothesis-Free Genomic Data on Irinotecan-Treated Patients for Identification of a Candidate Single Nucleotide Polymorphism Related to an Adverse Effect Takahashi, Hiro Sai, Kimie Saito, Yoshiro Kaniwa, Nahoko Matsumura, Yasuhiro Hamaguchi, Tetsuya Shimada, Yasuhiro Ohtsu, Atsushi Yoshino, Takayuki Doi, Toshihiko Okuda, Haruhiro Ichinohe, Risa Takahashi, Anna Doi, Ayano Odaka, Yoko Okuyama, Misuzu Saijo, Nagahiro Sawada, Jun-ichi Sakamoto, Hiromi Yoshida, Teruhiko PLoS One Research Article Interindividual variation in a drug response among patients is known to cause serious problems in medicine. Genomic information has been proposed as the basis for “personalized” health care. The genome-wide association study (GWAS) is a powerful technique for examining single nucleotide polymorphisms (SNPs) and their relationship with drug response variation; however, when using only GWAS, it often happens that no useful SNPs are identified due to multiple testing problems. Therefore, in a previous study, we proposed a combined method consisting of a knowledge-based algorithm, 2 stages of screening, and a permutation test for identifying SNPs. In the present study, we applied this method to a pharmacogenomics study where 109,365 SNPs were genotyped using Illumina Human-1 BeadChip in 168 cancer patients treated with irinotecan chemotherapy. We identified the SNP rs9351963 in potassium voltage-gated channel subfamily KQT member 5 (KCNQ5) as a candidate factor related to incidence of irinotecan-induced diarrhea. The p value for rs9351963 was 3.31×10(−5) in Fisher's exact test and 0.0289 in the permutation test (when multiple testing problems were corrected). Additionally, rs9351963 was clearly superior to the clinical parameters and the model involving rs9351963 showed sensitivity of 77.8% and specificity of 57.6% in the evaluation by means of logistic regression. Recent studies showed that KCNQ4 and KCNQ5 genes encode members of the M channel expressed in gastrointestinal smooth muscle and suggested that these genes are associated with irritable bowel syndrome and similar peristalsis diseases. These results suggest that rs9351963 in KCNQ5 is a possible predictive factor of incidence of diarrhea in cancer patients treated with irinotecan chemotherapy and for selecting chemotherapy regimens, such as irinotecan alone or a combination of irinotecan with a KCNQ5 opener. Nonetheless, clinical importance of rs9351963 should be further elucidated. Public Library of Science 2014-08-15 /pmc/articles/PMC4134257/ /pubmed/25127363 http://dx.doi.org/10.1371/journal.pone.0105160 Text en © 2014 Takahashi 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 Takahashi, Hiro Sai, Kimie Saito, Yoshiro Kaniwa, Nahoko Matsumura, Yasuhiro Hamaguchi, Tetsuya Shimada, Yasuhiro Ohtsu, Atsushi Yoshino, Takayuki Doi, Toshihiko Okuda, Haruhiro Ichinohe, Risa Takahashi, Anna Doi, Ayano Odaka, Yoko Okuyama, Misuzu Saijo, Nagahiro Sawada, Jun-ichi Sakamoto, Hiromi Yoshida, Teruhiko Application of a Combination of a Knowledge-Based Algorithm and 2-Stage Screening to Hypothesis-Free Genomic Data on Irinotecan-Treated Patients for Identification of a Candidate Single Nucleotide Polymorphism Related to an Adverse Effect |
title | Application of a Combination of a Knowledge-Based Algorithm and 2-Stage Screening to Hypothesis-Free Genomic Data on Irinotecan-Treated Patients for Identification of a Candidate Single Nucleotide Polymorphism Related to an Adverse Effect |
title_full | Application of a Combination of a Knowledge-Based Algorithm and 2-Stage Screening to Hypothesis-Free Genomic Data on Irinotecan-Treated Patients for Identification of a Candidate Single Nucleotide Polymorphism Related to an Adverse Effect |
title_fullStr | Application of a Combination of a Knowledge-Based Algorithm and 2-Stage Screening to Hypothesis-Free Genomic Data on Irinotecan-Treated Patients for Identification of a Candidate Single Nucleotide Polymorphism Related to an Adverse Effect |
title_full_unstemmed | Application of a Combination of a Knowledge-Based Algorithm and 2-Stage Screening to Hypothesis-Free Genomic Data on Irinotecan-Treated Patients for Identification of a Candidate Single Nucleotide Polymorphism Related to an Adverse Effect |
title_short | Application of a Combination of a Knowledge-Based Algorithm and 2-Stage Screening to Hypothesis-Free Genomic Data on Irinotecan-Treated Patients for Identification of a Candidate Single Nucleotide Polymorphism Related to an Adverse Effect |
title_sort | application of a combination of a knowledge-based algorithm and 2-stage screening to hypothesis-free genomic data on irinotecan-treated patients for identification of a candidate single nucleotide polymorphism related to an adverse effect |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4134257/ https://www.ncbi.nlm.nih.gov/pubmed/25127363 http://dx.doi.org/10.1371/journal.pone.0105160 |
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