Literature DB >> 20406964

Risk of meningioma and common variation in genes related to innate immunity.

Preetha Rajaraman1, Alina V Brenner, Gila Neta, Ruth Pfeiffer, Sophia S Wang, Meredith Yeager, Gilles Thomas, Howard A Fine, Martha S Linet, Nathaniel Rothman, Stephen J Chanock, Peter D Inskip.   

Abstract

BACKGROUND: The etiology of meningioma, the second most common type of adult brain tumor in the United States, is largely unknown. Prior studies indicate that history of immune-related conditions may affect the risk of meningioma.
METHODS: To identify genetic markers for meningioma in genes involved with innate immunity, we conducted an exploratory association study of 101 meningioma cases and 330 frequency-matched controls of European ancestry using subjects from a hospital-based study conducted by the National Cancer Institute. We genotyped 1,407 "tag" single nucleotide polymorphisms (SNP) in 148 genetic regions chosen on the basis of an r2>0.8 and minor allele frequency of >5% in Caucasians in HapMap1. Risk of meningioma was estimated by odds ratios and 95% confidence intervals.
RESULTS: Seventeen SNPs distributed across 12 genetic regions (NFKB1 (3), FCER1G (3), CCR6 (2), VCAM1, CD14, TNFRSF18, RAC2, XDH, C1D, TLR1/TLR10/TLR6, NOS1, and DEFA5) were associated with the risk of meningioma with P<0.01. Although individual SNP tests were not significant after controlling for multiple comparisons, gene region-based tests were statistically significant (P<0.05) for TNFRSF18, NFKB1, FCER1G, CD14, C1D, CCR6, and VCAM1. CONCLUSIONS AND IMPACT: Our results indicate that common genetic polymorphisms in innate immunity genes may be associated with risk of meningioma. Given the small sample size, replication of these results in a larger study of meningioma is needed. Copyright (c) 2010 AACR

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Year:  2010        PMID: 20406964      PMCID: PMC3169167          DOI: 10.1158/1055-9965.EPI-09-1151

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  20 in total

1.  Rank truncated product of P-values, with application to genomewide association scans.

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2.  The International HapMap Project.

Authors: 
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5.  Cellular-telephone use and brain tumors.

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Journal:  N Engl J Med       Date:  2001-01-11       Impact factor: 91.245

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Authors:  Preetha Rajaraman; Alina V Brenner; Mary Ann Butler; Sophia S Wang; Ruth M Pfeiffer; Avima M Ruder; Martha S Linet; Meredith Yeager; Zhaoming Wang; Nick Orr; Howard A Fine; Deukwoo Kwon; Gilles Thomas; Nathaniel Rothman; Peter D Inskip; Stephen J Chanock
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  19 in total

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