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Toll-Like Receptor (TLR)-Associated Sequence Variants and Prostate Cancer Risk among Men of African Descent
BACKGROUND: Recent advances demonstrate a relationship between chronic/recurrent inflammation and prostate cancer (PCA). Among inflammatory regulators, toll-like receptors (TLRs) play a critical role in innate immune responses. However, it remains unclear whether variant TLR genes influence PCA risk...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3743959/ https://www.ncbi.nlm.nih.gov/pubmed/23657238 http://dx.doi.org/10.1038/gene.2013.22 |
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author | Rogers, Erica N. Jones, Dominique Kidd, Nayla C. Yeyeodu, Susan Brock, Guy Ragin, Camille Jackson, Maria McFarlane-Anderson, Norma Tulloch-Reid, Marshall Kimbro, K. Sean Kidd, LaCreis R. |
author_facet | Rogers, Erica N. Jones, Dominique Kidd, Nayla C. Yeyeodu, Susan Brock, Guy Ragin, Camille Jackson, Maria McFarlane-Anderson, Norma Tulloch-Reid, Marshall Kimbro, K. Sean Kidd, LaCreis R. |
author_sort | Rogers, Erica N. |
collection | PubMed |
description | BACKGROUND: Recent advances demonstrate a relationship between chronic/recurrent inflammation and prostate cancer (PCA). Among inflammatory regulators, toll-like receptors (TLRs) play a critical role in innate immune responses. However, it remains unclear whether variant TLR genes influence PCA risk among men of African descent. Therefore, we evaluated the impact of 32 TLR-associated single nucleotide polymorphisms (SNPs) on PCA risk among African-Americans and Jamaicans. METHODS: SNP profiles of 814 subjects were evaluated using Illumina’s Veracode genotyping platform. Single and combined effects of SNPs in relation to PCA risk were assessed using age-adjusted logistic regression and entropy-based multifactor dimensionality reduction (MDR) models. RESULTS: Seven sequence variants detected in TLR6, TOLLIP, IRAK4, IRF3 were marginally related to PCA. However, none of these effects remained significant after adjusting for multiple hypothesis testing. Nevertheless, MDR modeling revealed a complex interaction between IRAK4 rs4251545 and TLR2 rs1898830 as a significant predictor of PCA risk among U.S. men (permutation testing p-value = 0.001). CONCLUSIONS: MDR identified an interaction between IRAK4 and TLR2 as the best two factor model for predicting PCA risk among men of African descent. However, these findings require further assessment and validation. |
format | Online Article Text |
id | pubmed-3743959 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
record_format | MEDLINE/PubMed |
spelling | pubmed-37439592014-03-01 Toll-Like Receptor (TLR)-Associated Sequence Variants and Prostate Cancer Risk among Men of African Descent Rogers, Erica N. Jones, Dominique Kidd, Nayla C. Yeyeodu, Susan Brock, Guy Ragin, Camille Jackson, Maria McFarlane-Anderson, Norma Tulloch-Reid, Marshall Kimbro, K. Sean Kidd, LaCreis R. Genes Immun Article BACKGROUND: Recent advances demonstrate a relationship between chronic/recurrent inflammation and prostate cancer (PCA). Among inflammatory regulators, toll-like receptors (TLRs) play a critical role in innate immune responses. However, it remains unclear whether variant TLR genes influence PCA risk among men of African descent. Therefore, we evaluated the impact of 32 TLR-associated single nucleotide polymorphisms (SNPs) on PCA risk among African-Americans and Jamaicans. METHODS: SNP profiles of 814 subjects were evaluated using Illumina’s Veracode genotyping platform. Single and combined effects of SNPs in relation to PCA risk were assessed using age-adjusted logistic regression and entropy-based multifactor dimensionality reduction (MDR) models. RESULTS: Seven sequence variants detected in TLR6, TOLLIP, IRAK4, IRF3 were marginally related to PCA. However, none of these effects remained significant after adjusting for multiple hypothesis testing. Nevertheless, MDR modeling revealed a complex interaction between IRAK4 rs4251545 and TLR2 rs1898830 as a significant predictor of PCA risk among U.S. men (permutation testing p-value = 0.001). CONCLUSIONS: MDR identified an interaction between IRAK4 and TLR2 as the best two factor model for predicting PCA risk among men of African descent. However, these findings require further assessment and validation. 2013-05-09 2013-09 /pmc/articles/PMC3743959/ /pubmed/23657238 http://dx.doi.org/10.1038/gene.2013.22 Text en Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Rogers, Erica N. Jones, Dominique Kidd, Nayla C. Yeyeodu, Susan Brock, Guy Ragin, Camille Jackson, Maria McFarlane-Anderson, Norma Tulloch-Reid, Marshall Kimbro, K. Sean Kidd, LaCreis R. Toll-Like Receptor (TLR)-Associated Sequence Variants and Prostate Cancer Risk among Men of African Descent |
title | Toll-Like Receptor (TLR)-Associated Sequence Variants and Prostate Cancer Risk among Men of African Descent |
title_full | Toll-Like Receptor (TLR)-Associated Sequence Variants and Prostate Cancer Risk among Men of African Descent |
title_fullStr | Toll-Like Receptor (TLR)-Associated Sequence Variants and Prostate Cancer Risk among Men of African Descent |
title_full_unstemmed | Toll-Like Receptor (TLR)-Associated Sequence Variants and Prostate Cancer Risk among Men of African Descent |
title_short | Toll-Like Receptor (TLR)-Associated Sequence Variants and Prostate Cancer Risk among Men of African Descent |
title_sort | toll-like receptor (tlr)-associated sequence variants and prostate cancer risk among men of african descent |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3743959/ https://www.ncbi.nlm.nih.gov/pubmed/23657238 http://dx.doi.org/10.1038/gene.2013.22 |
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