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Publication Type
Journal Article
Author, Analytic
Rogers, E. N.; Jones, D. Z.; Kidd, N. C.; Yeyeodu, S.; Brock, G.; Ragin, C.; Jackson, M.; McFarlane-Anderson, N.; Tulloch-Reid, M.; Sean Kimbro, K.; Kidd, L. R.
Author Affiliation, Ana.
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Article Title
Toll-like receptor-associated sequence variants and prostate cancer risk among men of African descent
Medium Designator
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Connective Phrase
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Journal Title
Genes Immun
Translated Title
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Reprint Status
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Date of Publication
2013
Volume ID
14
Issue ID
6
Page(s)
347-355
Language
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Connective Phrase
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Location/URL
http:; www.ncbi.nlm.nih.gov/pmc/articles/PMC3743959/
ISSN
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Notes
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Abstract
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.....
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