Genetic variation in 1253 immune and inflammation genes and risk of non-Hodgkin lymphoma

被引:125
作者
Cerhan, James R. [1 ]
Ansell, Stephen M. [2 ]
Fredericksen, Zachary S. [3 ]
Kay, Neil E. [2 ]
Liebow, Mark [4 ]
Call, Timothy G. [2 ]
Dogan, Ahmet [5 ]
Cunningham, Julie M. [6 ]
Wang, Alice H. [3 ]
Liu-Mares, Wen [1 ]
Macon, William R. [5 ]
Jelinek, Diane [7 ]
Witzig, Thomas E. [2 ]
Habermann, Thomas M. [2 ]
Slager, Susan L. [3 ]
机构
[1] Mayo Clin, Coll Med, Dept Hlth Sci Res, Div Epidemiol, Rochester, MN USA
[2] Mayo Clin, Coll Med, Dept Med, Div Hematol, Rochester, MN USA
[3] Mayo Clin, Coll Med, Dept Hlth Sci Res, Div Biostat, Rochester, MN USA
[4] Mayo Clin, Coll Med, Dept Med, Div Gen Internal Med, Rochester, MN USA
[5] Mayo Clin, Coll Med, Dept Lab Med & Pathol, Div Hematopathol, Rochester, MN USA
[6] Mayo Clin, Coll Med, Dept Lab Med & Pathol, Div Expt Pathol, Rochester, MN USA
[7] Mayo Clin, Coll Med, Dept Immunol, Rochester, MN USA
关键词
D O I
10.1182/blood-2007-05-088682
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Smaller-scale evaluations suggest that common genetic variation in candidate genes related to immune function may predispose to the development of non-Hodgkin lymphoma (NHL). We report an analysis of variants within genes associated with immunity and inflammation and risk of NHL using a panel of 9412 single-nucleotide polymorphisms (SNPs) from 1253 genes in a study of 458 patients with INK and 484 frequency-matched controls. We modeled haplotypes and risk of NHL, as well as the main effects for all independent SNPs from a gene in multivariate logistic regression models; we separately report results for nonsynonymous (ns) SNPs. In gene-level analyses, the strongest findings (P <= .001) were for CREB1, FGG, MAP3K5, RIPK3, LSP1, TRAF1, DUSP2, and ITGB3. In nsSNP analyses, the strongest findings (P <= .01) were for ITGB3 L59P (odds ratio [OR] = 0.66; 95% confidence interval [CI] 0.52-0.85), TLR6 V427A (OR = 5.20; Cl 1.77-15.3), SELPLG M264V (OR = 3.20; Cl 1.48-6.91), UNC84B G671S (OR = 1.50; Cl 1.12-2.00), B3GNT3 H328R (OR = 0.74; Cl 0.59-0.93), and BAT2 V1883L (OR = 0.64; Cl 0.45-0.90). Our results suggest that genetic variation in genes associated with immune response (TRAF1, RIPK3, BAT2, and TLR6), mitogen-activated protein kinase (MAPK) signaling (MAP3K5, DUSP2, and CREB1), lymphocyte trafficking and migration (B3GNT3, SELPLG, and LSP1), and coagulation pathways (FGG and ITGB3) may be important in the etiology of NHL, and should be prioritized in replication studies.
引用
收藏
页码:4455 / 4463
页数:9
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