Toll-like receptor-associated sequence variants and prostate cancer risk among men of African descent

被引:0
作者
E N Rogers
D Z Jones
N C Kidd
S Yeyeodu
G Brock
C Ragin
M Jackson
N McFarlane-Anderson
M Tulloch-Reid
K Sean Kimbro
L R Kidd
机构
[1] University of Louisville,Department of Pharmacology and Toxicology
[2] Biomedical/Biotechnology Research Institute (BBRI),Department of Bioinformatics and Biostatistics
[3] North Carolina Central University,Department of Community Health and Psychiatry
[4] School of Public Health and Information Sciences,undefined
[5] University of Louisville,undefined
[6] Cancer Prevention and Control Program,undefined
[7] Fox Chase Cancer Center,undefined
[8] University of West Indies,undefined
来源
Genes & Immunity | 2013年 / 14卷
关键词
prostate cancer; toll-like receptor; single-nucleotide polymorphisms; gene–gene interactions; multifactor dimensionality reduction;
D O I
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中图分类号
学科分类号
摘要
Recent advances demonstrate a relationship between chronic/recurrent inflammation and prostate cancer (PCA). Among inflammatory regulators, toll-like receptors (TLRs) have 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. 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. Seven sequence variants detected in TLR6, TOLLIP (Toll-interacting protein), IRAK4 (interleukin-1 receptor-associated kinase 4) and IRF3 (interferon regulatory factor 3) 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 US men (permutation testing P-value=0.001). However, these findings require further assessment and validation.
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页码:347 / 355
页数:8
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